American Journal of Engineering , Mechanics and Architecture (2993-2637)
type: channel
description: American Journal of Engineering, Mechanics and Architecture (2993-2637) is an international peer-reviewed journal published to reach excellence on Research and Scientific Development. The journal is not limited to a specific aspect of engineering and architecture but is instead devoted to a wide range of subfields in the engineering sciences, electrical, mechanical and architecture. Articles of interdisciplinary nature are particularly welcome. The journal strives to maintain high-quality of publications. There will be a commitment to expediting the time taken for the publication of the papers. The editorial board reserves the right to reject papers without sending them out for review. The journal also publishes innovative contributions on every aspect of the architectural endeavor.
publisher: GRN Journals Incorporation
language: en
publication name: American Journal of Engineering , Mechanics and Architecture (2993-2637)
issn: 2993-2637
items: Emergency and the Importance of Relationships in Mathematical Models of Elliptic Statistical Structures
items: Formation of the Mahalla System and Architectural-Planning Features in the Rural Settlements of Ancient Ustrushona (Case Study of Jizzakh Region)
items: Application of a Hybrid EKF-Bayesian Approach for Technical Condition Diagnostics of Gas Turbine Auxiliary Power Units
items: Review the Behavior of eccentrically loaded RC Columns Strengthened using CFRP Bars and Sheet
items: Impact of Construction Waste on the Environment and Recycling Solutions
items: Assessment of the Impacts of Atmospheric Temperature and Pressure on Solar Irradiance in Idah, Kogi State, Nigeria
items: Review on Consolidate of Combinational Logic Circuit
items: Robust Lane Detection Framework for Autonomous Vehicles Using Deep Learning and Computer Vision
items: Experimental Investigation of Heating Element Performance with Bypass Tubes
items: IoT-Enabled Embedded System for Rash Driving Detection and Automatic Speed Control Using GPS and GSM
items: Influence of Type of Solvent and Preparation of Oil-Containing Raw Material on Kinetic Dependences of its Extraction Process
items: Laying and Protection of Water Pipelines in Conditions of Moving Sands
items: Noise-Absorbing Asphalt Technology in Uzbekistan and Its Ecological Efficiency in Cities
items: Current State of Water Supply and Surface Water Treatment in the Lower Amu Darya River Basin
items: Low-Temperature, Low-Metal Consumptıon Thermosıphone Heatıng Devıce wıth Intermedıate Heat Carrıer for Solar Heatıng Systems
items: A Water Heater That Regulates Itself for Solar Heating Systems
items: Enhancing the Thermal Performance of a Three-Pass Solar Air Heater Using Latent Heat Storage Materials: A Comprehensive Review
items: Towards Sustainable Computing: Emerging Green Technologies and Energy Optimization in IT Systems
items: Principles of Planning Landscape Design of a University Campus
items: Neural Style Transfer Using Deep Convolutional Networks: Principles and Applications
items: Hybrid Composite Laminates using an AUXETIC Steel Core: A Numerical Investigation
items: Next-Generation AML Surveillance: Combining Real-World Evaluation and Precision Alerts for Improved Detection
items: Deep Learning–Based Facial Expression Recognition for Emotion Understanding in Human–Computer Interaction
items: Influence of Diagnostic Systems on the Efficiency of Maintenance and Repair of Modern Automotive Engines
items: A Real-Time Deep Learning–Based Drowsiness Detection and Alert System for Enhanced Automotive Safety
items: AI-Powered Early Fault Detection System in Electronic Circuits
items: The Concept for the Development of Higher Education Institutions in the Field of Architecture
items: The Effectiveness of Implementing a System of Risk-Adjusted Management Indicators in the Construction Sector
items: Implementation of a Smart Neighborhood in the City of Urganch and Upgrading of Infrastructure Based on Eco-Technologies
items: Designing Modern Market Complexes in an Environment of National Harmony

Emergency and the Importance of Relationships in Mathematical Models of Elliptic Statistical Structures
type: item
description: In the article seen​​ tasks meteorological information​​ based on emergency situation parameters analysis to do and forecast to do opportunities, emergency situation characteristics connection​​ determination and assessment meteorological from factors, extreme emergency situations, dangerous meteorological of the conditions appearance to be​ and development the risk in the evaluation connection​​ shown. Emergency​​ situations characteristics meteorological to the parameters connection​​ to determine attempt, in the future extreme emergency situation the risk analysis to do and prophecy to do methods working to go out help giver mathematician model shown.
subject: Articles
  topic: section
subject: mathematical model
  topic: keywords
subject: eventology
  topic: keywords
subject: probability
  topic: keywords
subject: randomness quantity
  topic: keywords
subject: density function
  topic: keywords
subject: mathematician unexpected
  topic: keywords
subject: elliptical distribution
  topic: keywords
subject: normal distribution
  topic: keywords
creator: Vassiev Elyor Narbayevich
rights: Copyright (c) 2026 American Journal of Engineering , Mechanics and Architecture (2993-2637)
date: 2026-03-19
publication date: 2026-03-19
starting page: 73
ending page: 77

Formation of the Mahalla System and Architectural-Planning Features in the Rural Settlements of Ancient Ustrushona (Case Study of Jizzakh Region)
type: item
description: This article examines the stages of formation of the rural mahalla system and its architectural and planning characteristics in the Jizzakh oasis, which historically constituted the western part of ancient Ustrushona. Based on archaeological evidence and historical sources, the structural organization of communal settlements that emerged around “koshk” (fortified estates) during the Early Middle Ages (5th–8th centuries) is analyzed. The study reveals the patterns of adaptation of settlements located along the Sangzor River and the Arnasoy lowlands to the natural landscape, as well as the spatial relationships between key elements such as the guzar (community center), alou-khona (communal gathering space), and religious structures. The findings contribute to a deeper understanding of the architectural evolution of the rural mahalla system, which developed under the influence of socio-economic conditions and defense factors.
subject: Articles
  topic: section
subject: Ustrushona
  topic: keywords
subject: Jizzakh Oasis
  topic: keywords
subject: Rural Mahalla
  topic: keywords
subject: Architectural-Planning Structure
  topic: keywords
subject: Guzar
  topic: keywords
subject: Koshk (Fortress-House)
  topic: keywords
subject: Sangzor River
  topic: keywords
subject: Arnasoy
  topic: keywords
subject: Alou-Khona
  topic: keywords
subject: Socio-Territorial Unit
  topic: keywords
subject: Evolution
  topic: keywords
creator: Usarov Jamolidn Usarovich
rights: Copyright (c) 2026 American Journal of Engineering , Mechanics and Architecture (2993-2637)
date: 2026-03-15
publication date: 2026-03-15
starting page: 66
ending page: 72

Application of a Hybrid EKF-Bayesian Approach for Technical Condition Diagnostics of Gas Turbine Auxiliary Power Units
type: item
description: Ensuring the technical reliability and flight safety of gas turbine Auxiliary Power Units (APUs) is a critical task in aviation engineering. Traditional diagnostic methods, often reliant on visual inspections and fixed thresholds, are limited in detecting internal or early-stage faults. This study proposes a proactive hybrid diagnostic approach integrating the Extended Kalman Filter (EKF) and Bayesian Inference for real-time monitoring and fault forecasting of the APU. The EKF is employed to linearize nonlinear engine dynamics and filter stochastic sensor noise, while the Bayesian framework provides a recursive mechanism for fault probability estimation and classification. Experimental results based on 120 test cycles demonstrate that the EKF algorithm reduces the Root Mean Square Error (RMSE) of critical parameters (rotor speed, exhaust gas temperature, and oil pressure) by an average of 65–67% compared to traditional measurement methods. The subsequent Bayesian classification achieved an overall diagnostic accuracy of 95.83% and a sensitivity of 95.0%. Furthermore, Receiver Operating Characteristic (ROC) analysis yielded an Area Under the Curve (AUC) of 0.956, confirming the high discriminatory power of the proposed model. The findings indicate that the integrated EKF-Bayesian approach offers a mathematically rigorous and effective solution for the early detection and trend forecasting of malfunctions, significantly enhancing aviation safety standards.
subject: Articles
  topic: section
subject: Gas Turbine APU
  topic: keywords
subject: Extended Kalman Filter (EKF)
  topic: keywords
subject: Bayesian Inference
  topic: keywords
subject: Fault Diagnosis
  topic: keywords
subject: Flight Safety
  topic: keywords
subject: Root Mean Square Error (RMSE)
  topic: keywords
subject: ROC Curve
  topic: keywords
subject: Condition Monitoring
  topic: keywords
creator: Soatov Bahodir Tukhtamishevich
rights: Copyright (c) 2026 American Journal of Engineering , Mechanics and Architecture (2993-2637)
date: 2026-03-15
publication date: 2026-03-15
starting page: 56
ending page: 65

Review the Behavior of eccentrically loaded RC Columns Strengthened using CFRP Bars and Sheet
type: item
description: This literature review highlights the use of Fiber-Reinforced Polymer (FRP) composites to strengthen reinforced concrete (RC) columns under various loading conditions. It focuses on two main methods: near-surface mounted (NSM) FRP reinforcement and external FRP confinement, often used in combination. Key findings indicate that NSM FRP enhances flexural capacity and seismic performance, particularly under eccentric and biaxial loads. In contrast, external FRP confinement improves axial load capacity but is less effective with increasing eccentricity. Hybrid systems, which integrate NSM FRP and external wraps, effectively mitigate debonding and buckling, enhancing strength and deformation capacity. The review also mentions analytical models that predict the behavior of FRP-strengthened columns. Applications of these methods include corroded, fire-damaged, or seismically challenged columns, confirming FRP composites as a valuable solution for reinforcing concrete structures.
subject: Articles
  topic: section
subject: strengthened columns
  topic: keywords
subject: flexural
  topic: keywords
creator: Liqaa Salam Mahdi
creator: Ali Hadi Adheem
rights: Copyright (c) 2026 American Journal of Engineering , Mechanics and Architecture (2993-2637)
date: 2026-03-14
publication date: 2026-03-14
starting page: 45
ending page: 55

Impact of Construction Waste on the Environment and Recycling Solutions
type: item
description: The rapid growth of urbanization and infrastructure development has significantly increased the amount of construction and demolition (C&D) waste generated worldwide. Improper disposal of construction waste has become a major environmental concern, leading to land degradation, air pollution, water contamination, and excessive consumption of natural resources. This study investigates the environmental impacts of construction waste and explores sustainable recycling solutions that can reduce environmental damage and promote sustainable construction practices. The research analyzes different types of construction waste materials such as concrete, bricks, wood, metals, plastics, and glass, along with their environmental effects. A literature review of previous studies on construction waste management and recycling techniques is presented. The study also evaluates recycling efficiency and waste composition using tabulated analysis. The findings indicate that recycling materials such as concrete aggregates, metals, and bricks can significantly reduce landfill waste and conserve natural resources. Implementing sustainable waste management strategies, improved recycling technologies, and government policies can enhance environmental sustainability in the construction industry.
subject: Articles
  topic: section
subject: Construction Waste
  topic: keywords
subject: Environmental Impact
  topic: keywords
subject: Recycling
  topic: keywords
subject: Sustainable Construction
  topic: keywords
subject: Waste Management
  topic: keywords
creator: Chintan Bagadiya
rights: Copyright (c) 2026 American Journal of Engineering , Mechanics and Architecture (2993-2637)
date: 2026-03-11
publication date: 2026-03-11
starting page: 34
ending page: 44

Assessment of the Impacts of Atmospheric Temperature and Pressure on Solar Irradiance in Idah, Kogi State, Nigeria
type: item
description: This study assessed the impacts of atmospheric temperature and pressure on solar irradiance in Idah, Kogi State, Nigeria. That data of atmospheric temperature and pressure were collected hourly from 9:00 am to 6:00 pm on February 25, 2026, in a school called Mathson School, Idah, using a weather station, while solar irradiance was measured using a pyranometer software installed on a laptop, and connected to the internet. The results revealed that the solar irradiance varied throughout the day, with peak values occurring in the early afternoon, which corresponds to higher temperatures and lower atmospheric pressures. The correlation analysis showed that there was a weak positive relationship between temperature and solar irradiance (r = 0.065) and a very weak negative relationship between pressure and solar irradiance (r = –0.036). This correlation despite the weak relationship shows that the solar irradiance is directly proportional with the atmospheric temperature and inversely with the atmospheric pressure. These findings demonstrate that atmospheric conditions have influence on solar irradiance and this provide insight into local solar energy potential. In addition, the results provide an insight regarding the period of time in which higher solar energy is expected in this research area, Idah, Kogi state. It was concluded that though, the correlation coefficients between the solar irradiance with the atmospheric temperature and pressure are low, there exists a relationship between solar irradiance and the two atmospheric parameters considered in this work. It is recommended that solar energy systems in Idah be designed to utilize peak solar irradiance periods between 11:00 am and 3:00 pm. It is also recommended that data of many days or months be used for the similar work in future. Additionally, continuous monitoring of atmospheric parameters should be implemented for improved solar energy planning. This study is valuable as it will inform solar energy forecasti…
subject: Articles
  topic: section
subject: Energy
  topic: keywords
subject: Global solar radiation
  topic: keywords
subject: Pressure
  topic: keywords
subject: Solar irradiance
  topic: keywords
subject: Temperature
  topic: keywords
creator: Ayegba Abdullahi
creator: Olaniyi Abigail Bisola
creator: Musa Yakubu
creator: Ojo David
creator: Anyanwu MacDonald Chima
creator: Alliagbor Abass
rights: Copyright (c) 2026 American Journal of Engineering , Mechanics and Architecture (2993-2637)
date: 2026-03-11
publication date: 2026-03-11
starting page: 26
ending page: 33

Review on Consolidate of Combinational Logic Circuit
type: item
description: This paper's learning objectives are to illustrate the chronical of a logic switching circuit. The study focuses on the evolution and use of logic throughout history in the field of computer and electronic applications. This essay focuses on design considerations, a few interesting facts, and a brief analysis of the fundamental requirements of logic fusion. Additionally, it improves students' comprehension of various Boolean function minimization techniques.
subject: Articles
  topic: section
subject: Combinational circuits
  topic: keywords
subject: digital electronics
  topic: keywords
subject: switching circuit simplification
  topic: keywords
subject: multiplexers
  topic: keywords
subject: decoders
  topic: keywords
subject: maxterm
  topic: keywords
subject: minimization
  topic: keywords
subject: numerous inputs
  topic: keywords
creator: Sumangla Pal
rights: Copyright (c) 2026 American Journal of Engineering , Mechanics and Architecture (2993-2637)
date: 2026-03-07
publication date: 2026-03-07
starting page: 16
ending page: 25

Robust Lane Detection Framework for Autonomous Vehicles Using Deep Learning and Computer Vision
type: item
description: The arrival of self-driving cars has made it even more important to have reliable and effective lane detection systems. Lane detection helps keep cars in their lanes while driving, making roads safer. This paper proposes a framework for real-time lane assistance comprising lane detection, tracking, marking recognition, and a warning when the vehicle is about to leave the lane. The framework uses OpenCV and convolutional neural networks (CNNs) to analyze video from a vehicle-mounted camera and estimate lane parameters such as position, slope, and curvature. These parameters let the framework determine the vehicle's position relative to the lane and steer it. Lane detection systems for self-driving cars must work in real time, adapt to varying weather and lighting conditions, and handle changes in road markings. The proposed framework effectively addresses these challenges and improves the safety and reliability of autonomous driving.
subject: Articles
  topic: section
subject: Self-Driving
  topic: keywords
subject: Lane Detection
  topic: keywords
subject: Neural Networks
  topic: keywords
subject: Autonomous Driving
  topic: keywords
subject: Safety
  topic: keywords
subject: Reliability
  topic: keywords
subject: Lighting Conditions
  topic: keywords
creator: T. Shynu
creator: R. Regin
creator: S. Suman Rajest
rights: Copyright (c) 2026 American Journal of Engineering , Mechanics and Architecture (2993-2637)
date: 2026-03-06
publication date: 2026-03-06
starting page: 1
ending page: 15

Experimental Investigation of Heating Element Performance with Bypass Tubes
type: item
description: This study presents an investigation of the thermo-hydraulic performance of a rotary air preheater heating element utilizing bypass tubes and wire coiled coil matrix turbulators. The work purpose is to improve heat transfer efficiency and minimize flow resistance while considering the practical problems observed in failed heating elements utilized in industrial units such as the Al-Hartha Thermal Power Station in southern Iraq. The experimental setup is intended for simulating working conditions of an air preheater under cyclic charging and discharging of hot and cold air flows. Air from a single matrix is switched between the two directions of flow using a valve-controlled system driven by an automated control panel. Three different types of bypass layout are tested in order to determine the best positioning and number of the tubes. Additionally, bypass tubes with various diameters (10, 15 and 20 mm) and shapes (circular and squared section) are tested. Also, three turbulators with different pitches are inserted into the bypass tubes to increase turbulence and enhance convective heat transfer. The results clarify the interlinked influences of bypass flow control and turbulent augmentation on the overall performance of stack heat recovery elements. The thermo-hydraulic performance for inline-tube arrangement rises on the order of 7.58% over the conventional element, while the 15 mm tubes deliver improvement of 15.47%. The cylindrical section outperformed the square section over examined Re range, with an improvement 23.49%, while the 5 mm pitch turbulator achieved an improvement of 23.92%.
subject: Articles
  topic: section
subject: Air preheater
  topic: keywords
subject: Power plant
  topic: keywords
subject: hydro-thermal performance
  topic: keywords
subject: bypass tubes
  topic: keywords
subject: turbulator
  topic: keywords
subject: heating element
  topic: keywords
creator: Saad H. Saadoon
creator: Mohammed H. Alhamdo
rights: Copyright (c) 2026 American Journal of Engineering , Mechanics and Architecture (2993-2637)
date: 2026-03-20
publication date: 2026-03-20
starting page: 78
ending page: 97

IoT-Enabled Embedded System for Rash Driving Detection and Automatic Speed Control Using GPS and GSM
type: item
description: The loss of human life is the most significant loss that cannot be regained, in contrast to other property losses. Every year, a lot of people die in car accidents. Many different things have been tried to stop these road accidents. There are now better roads, and many road safety programs have been put in place. Many different technologies and methods have been developed to teach people to drive safely, but most haven't helped prevent accidents. The proposed system for this project monitors several vehicle parameters, including speed, engine speed, brake pedal status, and steering angle. An embedded microcontroller board measures all of these things. The goal is to learn about a driver's driving style by looking at how they use the gas and brake pedals. If the way a person drives meets the criteria for reckless driving, the system notifies the driver and, if the behavior continues, limits the vehicle's speed and sends a text message to the nearest police control room via a GSM module. The system also controls how fast cars can go in areas with a lot of people, such as cities and villages along the route. The GPS module system keeps track of the vehicle's location at all times. If it enters a city, the speed limit is set to a safe level.
subject: Articles
  topic: section
subject: GSM Module
  topic: keywords
subject: Good Road Infrastructures
  topic: keywords
subject: GPS Module
  topic: keywords
subject: Brake Pedal Status
  topic: keywords
subject: Steering Angle
  topic: keywords
subject: Pre-Defined Rash
  topic: keywords
subject: Vehicle Speed
  topic: keywords
creator: G. Rajasekaran
creator: T. Shynu
creator: S. Suman Rajest
creator: J. Mohamed Zakkariya Maricar
rights: Copyright (c) 2026 American Journal of Engineering , Mechanics and Architecture (2993-2637)
date: 2026-03-01
publication date: 2026-03-01
starting page: 157
ending page: 173

Influence of Type of Solvent and Preparation of Oil-Containing Raw Material on Kinetic Dependences of its Extraction Process
type: item
description: The influence of a solvent on the extraction processes of cotton cake is established. The kinetic equations of the extraction processes are determined. The dependences of the extraction coefficients on the type of solvent and the type of oil containing raw materials used are revealed
subject: Articles
  topic: section
subject: extraction
  topic: keywords
subject: solvents
  topic: keywords
subject: type of material
  topic: keywords
subject: kinetic equations
  topic: keywords
subject: dependency coefficients
  topic: keywords
subject: process indicators
  topic: keywords
subject: regularities
  topic: keywords
creator: F. S. Qayimov
creator: B. S. Abdullayev
rights: Copyright (c) 2026 American Journal of Engineering , Mechanics and Architecture https://creativecommons.org/licenses/by/4.0
date: 2026-02-27
publication date: 2026-02-27
starting page: 152
ending page: 156

Laying and Protection of Water Pipelines in Conditions of Moving Sands
type: item
description: This article is devoted to the design and construction of settlements in sandy deserts, with an emphasis on creating a protected and comfortable living environment. Key aspects are considered, such as protection from natural factors (sand storms, heat and dust), water supply, as well as effective ways to protect water pipes and buildings from the effects of sand. Particular attention is paid to the need to create green protective strips and landscaping, as well as recommendations for laying utility networks and water pipes at depth, which minimizes the negative impact of sandstorms. The main architectural and planning solutions are provided, aimed at the sustainability of infrastructure and improving the microclimate in sandy deserts.
subject: Articles
  topic: section
subject: sandy desert settlements
  topic: keywords
subject: desert architecture
  topic: keywords
subject: sandstorm protection
  topic: keywords
subject: green protective belts
  topic: keywords
subject: water supply systems
  topic: keywords
subject: buried utility networks
  topic: keywords
creator: N.A. Dauletmuratova
creator: G. Abdiganieva
rights: Copyright (c) 2026 American Journal of Engineering , Mechanics and Architecture https://creativecommons.org/licenses/by/4.0
date: 2026-02-26
publication date: 2026-02-26
starting page: 149
ending page: 151

Noise-Absorbing Asphalt Technology in Uzbekistan and Its Ecological Efficiency in Cities
type: item
description: This article analyzes the introduction of noise-absorbing asphalt technology in Uzbekistan and its environmental efficiency in cities. The article examines the composition, principles of operation and practical impact of noise-absorbing asphalt pavements in the urban environment. The article shows that noise-absorbing asphalt not only significantly reduces traffic noise, but also helps to protect public health, improve the quality of the living environment and ensure environmental sustainability. At the same time, the article also highlights the application of innovative solutions to asphalt pavements, such as sensor technologies, temperature-adapting materials and waste recycling.
subject: Articles
  topic: section
subject: noise-absorbing asphalt
  topic: keywords
subject: environmental efficiency
  topic: keywords
subject: urban transport
  topic: keywords
subject: sensor asphalt
  topic: keywords
subject: temperature-adapting pavements
  topic: keywords
creator: Hodiyev Farrux Sobir oʻgʻli
rights: Copyright (c) 2026 American Journal of Engineering , Mechanics and Architecture (2993-2637)
date: 2026-02-22
publication date: 2026-02-22
starting page: 144
ending page: 148

Current State of Water Supply and Surface Water Treatment in the Lower Amu Darya River Basin
type: item
description: This study evaluates the current condition of water supply and surface water treatment in the lower Amu Darya River, a major source of freshwater for Uzbekistan and Turkmenistan. The water resources of the lower Amu Darya face challenges due to reduced flow, climatic variability, irrigation demands, and limited treatment infrastructure. We analyzed hydrological data, water allocation policies, and existing water treatment practices to assess supply reliability and treatment efficiency. Results indicate persistent water scarcity, aging supply systems, and a lack of modern treatment facilities. Recommendations include enhancement of treatment infrastructure, integrated water resources management, and adoption of advanced purification technologies. These findings provide insights for policymakers and water resource managers aiming for sustainable water security in the region.
subject: Articles
  topic: section
subject: Amudarya
  topic: keywords
subject: water supply
  topic: keywords
subject: water purification
  topic: keywords
subject: lower reaches
  topic: keywords
subject: ecological crisis
  topic: keywords
subject: Aral Sea
  topic: keywords
creator: Joldasbaev Miyratdiyn Sultamurat uli
creator: Xoshimov Daniyar Madiyarovich
rights: Copyright (c) 2026 American Journal of Engineering , Mechanics and Architecture (2993-2637)
date: 2026-02-21
publication date: 2026-02-21
starting page: 141
ending page: 143

Low-Temperature, Low-Metal Consumptıon Thermosıphone Heatıng Devıce wıth Intermedıate Heat Carrıer for Solar Heatıng Systems
type: item
description: This study focuses on the development of a low-temperature, low-metal consumption self-regulating thermosiphon heating device with an intermediate heat carrier for solar heating systems aimed at improving energy efficiency and reducing material consumption. The research involves analysis of modern heating device designs, theoretical and experimental investigation of single- and two-phase heat exchange processes, and the development of mathematical models describing evaporation and condensation under natural thermosiphon circulation conditions. The proposed design consists of a hermetic housing divided into evaporation and condensation chambers equipped with steam confusors, ejectors, and a thermoregulating valve, which intensify heat transfer by increasing steam velocity and enhancing mixing in the condensation zone. Hydraulic separation from the main heating system reduces internal pressure and wall thickness, lowering metal consumption while maintaining structural reliability. The results show that the developed device improves heat transfer efficiency and enables 3–4% heat savings through self-regulation, making it suitable for application in solar heating systems and modern energy-saving technologies.
subject: Articles
  topic: section
subject: Heating device
  topic: keywords
subject: thermosiphon
  topic: keywords
subject: condensation
  topic: keywords
subject: two-phase heat exchange
  topic: keywords
subject: snake tube
  topic: keywords
subject: circulation
  topic: keywords
creator: K.R. Aytbaev
creator: D.A. Kadirbergenova
rights: Copyright (c) 2026 American Journal of Engineering , Mechanics and Architecture (2993-2637)
date: 2026-02-21
publication date: 2026-02-21
starting page: 138
ending page: 140

A Water Heater That Regulates Itself for Solar Heating Systems
type: item
description: A method for calculating the water intermediary in a multilayer stratified thermal storage tank used in solar heating and hot water supply systems has been developed. The intermediary has a constant cross-section and uniform perforation throughout its height. The examination of global and domestic practices for improving the performance of self-regulating active water heat accumulators in solar heating systems is ongoing. Innovative solutions for self-regulated stratified thermal storage systems are being developed. Conditions for achieving self-equilibrium in the self-regulatory components of hot water storage tanks are being identified, considering dynamic processes caused by unbalanced solar radiation. A theoretical investigation of water flow in perforated distributors with a constant cross-section under the influence of volume forces is being conducted. Additionally, a theoretical analysis of water collection in perforated collectors with constant cross-sections due to volume forces is taking place. A method for calculating water distribution and designing a self-regulating thermal storage system is currently being developed. An experimental exploration of the perforation in the water distribution system of a self-adjusting hot water storage tank is also underway.
subject: Articles
  topic: section
subject: water distribution
  topic: keywords
subject: heat accumulation
  topic: keywords
subject: solar heating system
  topic: keywords
subject: stratification accumulation are all components
  topic: keywords
creator: Bahadir Aytmuratov
creator: Sarsengalieva Kamshat Usengalievna
creator: Sultanbergenova Albina Konıratbay qızı
rights: Copyright (c) 2026 American Journal of Engineering , Mechanics and Architecture (2993-2637)
date: 2026-02-21
publication date: 2026-02-21
starting page: 134
ending page: 137

Enhancing the Thermal Performance of a Three-Pass Solar Air Heater Using Latent Heat Storage Materials: A Comprehensive Review
type: item
description: with latent heat storage materials (Phase Change Materials, PCMs) are reviewed to improve the thermal conductivity. The principle behind this integration is based on the high energy-storage density of PCMs, whose heat absorption and heat release occur at nearly constant temperatures, that enhances the system efficiency and smooths the convergence of the outlet air temperature. The enhancement of the air residence time and heat transfer rate is achieved by the three-pass flow pattern although more pressure drop and design complexity are introduced. A review of literature reveals that the use of PCMs brings about considerable improvement in the total thermal performance as compared to the conventional systems more so by way of prolonging the heating duration beyond the retardation of solar radiation. Proper PCM melting temperature and high thermal conductivity of PCM are important for efficient charging/discharging processes Major obstacles are the low thermal conductivity of typical PCMs which generally needs to be enhanced by means of ﬁns, metal matrices or by encapsulation methods. The core technical difficulties are the very low thermal conductivity of the ordinary PCMs, which usually needs to be enhanced by fin, metal matrices, or encapsulation methods. Leakage during melting and long-term material stability are also importantly design issues. Moreover, the hydrodinam¬ics of the three-pass configurations becomes increasingly intricate., thus rendering the airflow distribution and pressure drops as the dominant system optimization parameters. The literature on PCM incorporated three-pass heaters is still scarce, as the most of the works related to that of single- or double-pass collectors. There are important gaps in dynamic modeling of multi-pass systems with PCM, long-term cycling studies, and cost – benefit analyses. The review emphasizes the requirement of development of advanced numerical models, superior PCM composites with enhanced conductivity and system l…
subject: Articles
  topic: section
subject: Phase Change Materials
  topic: keywords
subject: Three-Pass Solar Air Heater
  topic: keywords
subject: Thermal Energy Storage
  topic: keywords
subject: Heat Transfer Enhancement
  topic: keywords
subject: Solar Thermal Systems
  topic: keywords
creator: Enas Khudhayer Obayes
creator: Rafel Hekmat Hameed
rights: Copyright (c) 2026 American Journal of Engineering , Mechanics and Architecture (2993-2637)
date: 2026-02-18
publication date: 2026-02-18
starting page: 118
ending page: 133

Towards Sustainable Computing: Emerging Green Technologies and Energy Optimization in IT Systems
type: item
description: Green computing or sustainable computing is a radical style of information technology that seeks to minimize the effects of computing systems on the environment without necessarily affecting the performance and operation efficiency. Digital technologies, such as high-performance computing, data centers, and cloud infrastructures, have led to a significant level of energy consumption, emissions of greenhouse gases, and the accumulated electronic waste, which is becoming a major problem concerning the sustainability of the world. This paper also examines a broad spectrum of green computing technologies and solutions such as designing energy efficient hardware, virtualization, optimization of cloud resources, smart power management, and also disposing and recycling of electronic equipment in an environmentally friendly manner. It evaluates how well these strategies would lead to energy saving and cost reduction in their operations, and at the same time alleviate negative environment effects. Moreover, the studies examine the latest case studies and empirical knowledge to prove the practical utility of implementing green computing in industrial, academic and government IT systems. Economic and ecological implications of sustainable computing practices are also discussed in the paper and possible benefits in terms of carbon footprint, energy consumption, and resource wastage are presented. This study uses the cumulative knowledge of the existing literature and real-life applications to establish the best practices, major challenges, and trends of green computing adoption. The results indicate that incorporating green computing strategies will not only help in conserving the environment but also improving the performance of the system, its reliability as well as cost-effectiveness which creates an interesting argument as to why organizations need to highly consider the issue of sustainability in IT planning. This research should be used by the policy-makers, IT managers a…
subject: Articles
  topic: section
subject: Green Computing
  topic: keywords
subject: Energy Efficiency
  topic: keywords
subject: Sustainable IT
  topic: keywords
subject: Cloud Computing
  topic: keywords
subject: Virtualization
  topic: keywords
subject: E-waste Management
  topic: keywords
subject: AI for Energy
  topic: keywords
creator: Wasen Mohammed Najem
creator: Nada Jabbar Dubai
creator: Nejood Abed yasir ibad
rights: Copyright (c) 2026 American Journal of Engineering , Mechanics and Architecture (2993-2637)
date: 2026-02-18
publication date: 2026-02-18
starting page: 97
ending page: 117

Principles of Planning Landscape Design of a University Campus
type: item
description: This article provides a scientific analysis of the main principles of landscape design planning in a university campus. It addresses functional zoning, ecological sustainability, pedestrian circulation convenience, and aesthetic composition. In addition, the visual appearance of the campus landscape is examined, proposals for its improvement are developed, and the conclusions are presented.
subject: Articles
  topic: section
subject: University Area
  topic: keywords
subject: Landscape Design
  topic: keywords
subject: Planning
  topic: keywords
subject: Campus
  topic: keywords
subject: Green Space
  topic: keywords
subject: ecology
  topic: keywords
creator: Tokhtamurotov Dilmurod Elmurod ogli
creator: Karimov Ulugbek Nurmamatovich
rights: Copyright (c) 2026 American Journal of Engineering , Mechanics and Architecture (2993-2637)
date: 2026-02-12
publication date: 2026-02-12
starting page: 82
ending page: 89

Neural Style Transfer Using Deep Convolutional Networks: Principles and Applications
type: item
description: Neural Style Transfer (NST) has recently emerged as a revolutionary trend at the intersection of profound literacy and cultural expression. This new idea is based on how people naturally create things. It lets you mix material from one image with the style of another, creating a new kind of visually appealing image. This book talks about the ideas, methods, and workings of NST. NST is a new way to make art that combines photographs with rich content and the unique styles of famous painters, illustrators, and others. It does this by routing and manipulating point representations from pre-trained networks. The approach is based on optimising a total loss function that combines content and style losses. This lets images keep both the substance of the content source and the stylistic details of the reference image. This book goes into detail into the specialised parts of NST, showing how convolutional layers in deep neural networks capture the content and style of images. We talk about how to use loss functions and the iterative optimisation process to make beautiful compositions. We also look at how hyperparameters and loss weighting affect the transfer of information and style, which gives us more precise control over it. This work shows the wide range of operations that NST can do, in addition to the specialised ones. NST has made progress in several areas, including graphic design, fine arts, and computer vision. They have done everything from rethinking pictures as if they were painted by expressionist masters to making new textures and designs. This article gives useful examples and real-world use cases that show how NST could be used in the future. NST brings up new ways of talking about culture and gives both artists and technologists valuable tools. It can turn everyday photos into works of art.
subject: Articles
  topic: section
subject: Matplotlib
  topic: keywords
subject: Sklearn
  topic: keywords
subject: Random Forest Regressor
  topic: keywords
subject: Gradient Boosting Regressor
  topic: keywords
subject: Machine Learning Algorithms
  topic: keywords
subject: Statistical Models
  topic: keywords
subject: Probabilistic Model
  topic: keywords
subject: Supervised Machine Learning
  topic: keywords
subject: Flight Delay Prediction
  topic: keywords
creator: G. Rajasekaran
creator: B. Saferuden
creator: Mohamed Zakkariya Maricar
creator: S. Suman Rajest
rights: Copyright (c) 2026 American Journal of Engineering , Mechanics and Architecture (2993-2637)
date: 2026-02-08
publication date: 2026-02-08
starting page: 69
ending page: 81

Hybrid Composite Laminates using an AUXETIC Steel Core: A Numerical Investigation
type: item
description: The use of Fiber Metal Laminates (FMLs) provides a high-stiffness fibre-reinforced polymer (FRP) with ductile properties derived from metals; however, few studies have attempted to create hybrid FMLs that incorporate auxetic (negative Poisson's ratio) materials to enhance energy absorption characteristics. To investigate the mechanical behaviour of hybrid laminates composed of perforated steel metamaterials sandwiched between layers of Glass Fiber Reinforced Polymer (GFRP) and Carbon Fibers, a series of parametric studies using Finite Element Analysis (FEA) in SIMULIA Abaqus were conducted. This analysis focused on the development of a metallic core with a non-convex rotating unit geometry and a theoretical Poisson's ratio of -1. A Uniaxial Tensile Test was conducted to find the effective elastic properties of the Hybrid Material Structure. The results of this study showed that the Hybrid Laminate, a form of the Hybrid Structure, did not retain any auxetic characteristics found in its separate component, the Metal Core. This is contrary to the original theory used to develop these Hybrid Laminates, as the Hybrid Structure's Ultimate Poisson’s Ratio increased rather than decreasing as expected. The results further demonstrate that the high in-plane stiffness of the Composite Face Sheets, when bonded together with other sheet layers in the Hybrid Structures, limits the rotational mechanism necessary for producing the auxetic effect. This finding concludes that for the hybrid Fiber Metal Laminates to achieve the auxetic characteristics inherent in their Metal Core components, the interface design must be such that enough freedom is allowed for geometric variations. The Guidelines established in this study are intended to assist in the development of next-generation Metamaterial Composite Fabrics with sufficient geometric freedom.
subject: Articles
  topic: section
subject: fiber metal laminates
  topic: keywords
subject: auxetic materials
  topic: keywords
subject: negative poisson’s ratio
  topic: keywords
subject: finite element analysis
  topic: keywords
subject: metamaterial composites
  topic: keywords
subject: structural constraints
  topic: keywords
creator: Murtadha Saeed Mohammed
creator: Mahmood S. Mahmood
rights: Copyright (c) 2026 American Journal of Engineering , Mechanics and Architecture (2993-2637)
date: 2026-02-07
publication date: 2026-02-07
starting page: 48
ending page: 68

Next-Generation AML Surveillance: Combining Real-World Evaluation and Precision Alerts for Improved Detection
type: item
description: The landscape of Anti-Money Laundering (AML) surveillance is rapidly evolving, driven by increasing sophistication in financial crimes and the need for more effective detection mechanisms. This article explores a next-generation AML surveillance framework that integrates real-world evaluation with precision alert systems to enhance the detection of illicit financial activities. Traditional AML approaches often rely on generic rule-based systems that generate a high volume of false positives, leading to inefficiencies and resource strain. In contrast, the proposed framework combines advanced data analytics, machine learning algorithms, and contextual evaluation of financial transactions to provide more accurate, actionable alerts. By employing precision alerts that are tailored to specific financial behaviors and risk factors, the framework aims to minimize false positives while ensuring that suspicious activities are flagged with greater accuracy. This article delves into the architecture of the system, outlining how real-world data evaluation and predictive modeling work together to improve detection and compliance. Through detailed case studies and practical applications, the paper demonstrates how this approach offers significant improvements in identifying complex money laundering schemes that may evade traditional methods. Furthermore, the integration of precision alerts offers a more proactive and targeted approach to AML compliance, enabling financial institutions to better allocate resources, streamline operations, and reduce overall risk exposure. The findings present a comprehensive roadmap for regulators and financial institutions seeking to implement next-generation AML solutions, ensuring more efficient, cost-effective, and reliable detection of financial crimes in the modern era.
subject: Articles
  topic: section
creator: Nawfal Kareem Hussein
creator: Sebastian Crowe
rights: Copyright (c) 2026 American Journal of Engineering , Mechanics and Architecture (2993-2637)
date: 2026-02-06
publication date: 2026-02-06
starting page: 26
ending page: 47

Deep Learning–Based Facial Expression Recognition for Emotion Understanding in Human–Computer Interaction
type: item
description: Facial expression recognition (FER) has become an important field of study in computer vision and artificial intelligence because it could help machines understand how people feel. FER systems try to figure out how people are feeling by looking at changes in their eyes, mouth, eyebrows, and other parts of their face. They can tell if someone is happy, sad, angry, scared, surprised, or disgusted. Recent advancements in machine learning and deep neural networks have significantly improved the accuracy and robustness of emotion recognition models, enabling their deployment across diverse real-world applications. These applications encompass various fields, including mental health diagnostics, where FER can aid in the evaluation and treatment of psychological disorders such as depression and anxiety; education, where emotion-aware systems can promote adaptive and individualized learning environments; and human-computer interaction, where emotionally responsive interfaces improve user engagement and experience. Even though there has been a lot of development, there are still several problems that need to be solved. These include being able to reliably detect subtle and complex emotional indicators, being able to work well in different lighting conditions and when there are obstructions, and the ethical issues that come up when collecting and using facial data. To make sure that FER technologies are used safely and effectively in real-world systems, these problems need to be solved.
subject: Articles
  topic: section
subject: psychology
  topic: keywords
subject: healthcare
  topic: keywords
subject: education
  topic: keywords
creator: P. Velavan
creator: D. Angelina Mary
creator: S. Suman Rajest
creator: M. Mohamed Sameer Ali
rights: Copyright (c) 2026 American Journal of Engineering , Mechanics and Architecture (2993-2637)
date: 2026-02-05
publication date: 2026-02-05
starting page: 6
ending page: 25

Influence of Diagnostic Systems on the Efficiency of Maintenance and Repair of Modern Automotive Engines
type: item
description: This article provides a comprehensive analysis of the influence of diagnostic systems used in modern automotive engines on the efficiency of service and repair processes. The rapid development of electronic control systems, digital sensors, and computerized diagnostic equipment in the automotive industry makes it possible to monitor the technical condition of the engine in real time. These systems allow for the early detection of engine malfunctions, the precise determination of their causes, and the optimal planning of maintenance and repair work. The introduction of diagnostic systems into service practice contributes to reducing repair time, efficient use of labor resources, reducing the consumption of spare parts, and improving the quality of service. Also, the reliability and service life of the car engine will increase, environmental indicators will improve, and fuel consumption will be optimized. The article scientifically and theoretically substantiates the practical significance of modern diagnostic technologies in service and repair processes, their economic efficiency and role in improving the maintenance system.
subject: Articles
  topic: section
subject: modern diagnostic systems
  topic: keywords
subject: car engine
  topic: keywords
subject: electronic control unit
  topic: keywords
creator: Absamadov Bakhodir Turakhonovich
rights: Copyright (c) 2026 American Journal of Engineering , Mechanics and Architecture (2993-2637)
date: 2026-02-02
publication date: 2026-02-02
starting page: 1
ending page: 5

A Real-Time Deep Learning–Based Drowsiness Detection and Alert System for Enhanced Automotive Safety
type: item
description: The Comprehensive Drowsiness Detection and Alert Solution for Automotive Safety addresses the growing concern of road accidents caused by driver weariness, which is a factor in about 20% of incidents worldwide. Keeping drivers awake is very important for reducing dangers and saving lives. This research proposes a robust, real-time monitoring system that leverages computer vision and deep learning to detect early signs of fatigue and prevent accidents. The system uses a live camera feed to monitor the driver's face, paying close attention to how their eyes move and blink. A Convolutional Neural Network (CNN) analyses this data to detect long periods of eye closure, a sign of exhaustion. The system sounds an alarm as soon as it sees that the driver is sleepy. This non-intrusive method ensures continuous monitoring without causing discomfort or disruptions. The project is designed to be flexible and scalable so that it can be used as a standalone device in cars or as a mobile app. It makes sure that a wide variety of users can pay and access it by using inexpensive hardware and open-source software. The system can do more than just the basic tasks. It can also be integrated with additional functions, such as heart rate monitoring, vehicle speed control, and yawning recognition, making it much more useful and reliable. This approach can be used not only in personal cars, but also in commercial fleets, public transportation networks, and heavy industrial operations. The bigger effect on society is that it lowers the emotional and financial costs of car accidents, encourages safer driving, and generally makes traffic safer.
subject: Articles
  topic: section
subject: Driver Drowsiness Detection
  topic: keywords
subject: Automotive Safety
  topic: keywords
subject: Convolutional Neural Network (CNN)
  topic: keywords
subject: Non-Intrusive Approach
  topic: keywords
subject: Yawning Detection
  topic: keywords
creator: S. Manimaran
creator: S.R. Saranya
creator: M. Mohamed Thariq
creator: M. Mohamed Sameer Ali
creator: S. Suman Rajest
rights: Copyright (c) 2026 American Journal of Engineering , Mechanics and Architecture (2993-2637)
date: 2026-02-02
publication date: 2026-02-02
starting page: 92
ending page: 108

AI-Powered Early Fault Detection System in Electronic Circuits
type: item
description: Technical failures and problem may affect electric power systems and their essential industrial components, which in turn may affect the quality of electricity grid. Despite the significant developments in the plans of these systems, they may still face unexpected risks that may cause operational failures and decrease in efficiency. These failures may be from different sources which include thermal and systemic modifications during operation. It is essential to consider these malfunctions as the entire operating system may exacerbate the risks and create additional disruption and possibly add to the significant sudden losses. Thus, is is vital to enhance existing models in order to detect and classify failures and malfunctions and to place emphasis on these potential risks before they take place. This is very necessary to maintain the electrical systems to reduce and minimize the damage and support the total consistency of the system. This model will enable both earlier detection and accurate categorization to minimize the losses and deficiencies within the operating system and enhance the efficacy of automated and rapid procedure in the electronic circuits. The study may present a unified and structurally complete system that is capable oof analyzing the indicators obtained from the sound pumps and comparators, which attempt to align patterns to determine the disturbances and failures which affect power-related electrical mechanisms. It may utilize neural networks like the ANNs and the KNN algorithm, and employ the distinguishing LSTM model for process detection and error determination with unique efficacy and precision. The model is connected with automatic self-configured and automatic technologies to improve the operational capacity of the system and to improve its sustainability during and immediately after the identification of the fault, thereby enhancing the performance efficacy and consistency in the industrial motors fixed in the cells. The main motive of …
subject: Articles
  topic: section
subject: AI
  topic: keywords
subject: Defect Detection
  topic: keywords
subject: KNN
  topic: keywords
subject: CNN
  topic: keywords
subject: LSTM
  topic: keywords
subject: FPGA
  topic: keywords
subject: Energy
  topic: keywords
subject: Electronic
  topic: keywords
subject: Electrical Power
  topic: keywords
creator: Sarmad Hamad Ibrahim Alfarag
rights: Copyright (c) 2026 American Journal of Engineering , Mechanics and Architecture (2993-2637)
date: 2026-01-30
publication date: 2026-01-30
starting page: 77
ending page: 91

The Concept for the Development of Higher Education Institutions in the Field of Architecture
type: item
description: This article examines contemporary challenges and development pathways for higher education institutions in the field of architecture, with a focus on aligning national educational systems with international standards and labor-market demands. The introduction outlines the rapid transformation of the architectural profession under the pressures of urbanization, climate change, digitalization, and growing social responsibility. Despite ongoing reforms, a significant knowledge gap persists in integrating practice-oriented learning, digital technologies, and sustainable development principles into architectural curricula, particularly in the context of developing countries such as Uzbekistan. The study employs a qualitative analytical method based on a review of national policy documents, international normative frameworks, and recent scientific literature on architectural education. Comparative analysis is used to identify mismatches between existing educational models and emerging professional requirements. The findings indicate that current architectural programs are often overly theoretical, weakly connected to industry, and insufficiently responsive to digital and interdisciplinary shifts. International experience highlights the effectiveness of competency-based curricula, transdisciplinary design studios, “living laboratories,” and hybrid learning formats in bridging this gap. The results demonstrate that adopting modular, project-oriented, and digitally supported educational models can significantly enhance graduate competitiveness and professional readiness. The article concludes that systematic integration of international standards, industry partnerships, and sustainable development principles is essential for reforming architectural education. The implications of this study are relevant for policymakers, university administrators, and educators seeking to modernize architectural education systems and prepare architects capable of addressing complex socio-env…
subject: Articles
  topic: section
subject: architectural education
  topic: keywords
subject: curriculum reform
  topic: keywords
subject: sustainable development
  topic: keywords
creator: Xakimov Jaxongir Mirzorustamovich
rights: Copyright (c) 2026 American Journal of Engineering , Mechanics and Architecture (2993-2637)
date: 2026-01-30
publication date: 2026-01-30
starting page: 70
ending page: 76

The Effectiveness of Implementing a System of Risk-Adjusted Management Indicators in the Construction Sector
type: item
description: ISO 31000:2018. Risk management — Guidelines. — Geneva: International Organization for Standardization, 2018. Committee of Sponsoring Organizations of the Treadway Commission (COSO). Enterprise Risk Management – Integrating with Strategy and Performance. — New York, 2017. Project Management Institute. A Guide to the Project Management Body of Knowledge (PMBOK® Guide). 7th ed. – Newtown Square, PA: PMI, 2021. Arifdjanova Z.D. Improving the organizational and economic mechanism for improving the effectiveness of management in construction enterprises. // Journal of Management Value & Ethics, 2024, Jan–March, pp. 152–159. Arifdjanova Z.D. Assessing the improvement of management efficiency in construction companies. // American Journal of Economics and Business Management, 2024, December, pp. 1337 – 1343. Arifdjanova Z.D. Improving the Management Mechanism for Increasing the Efficiency of Construction Enterprises. // Synergy: Cross – Disciplinary Journal of Digital Investigation, 2024, No. 2, pp. 59–63. Arifdjanova Z.D. Strategies for Improving Management Efficiency in Construction Enterprises. // Academic Journal of Digital Economy and Stability, 2025, Vol. 38, Issue 3, pp. 203 – 213.
subject: Articles
  topic: section
subject: risk-adjusted indicators
  topic: keywords
subject: construction sector
  topic: keywords
subject: financial stability
  topic: keywords
creator: Arifdjanova Zilola Dilshadovna
rights: Copyright (c) 2025 American Journal of Engineering , Mechanics and Architecture (2993-2637)
date: 2025-12-30
publication date: 2025-12-30
starting page: 124
ending page: 128

Implementation of a Smart Neighborhood in the City of Urganch and Upgrading of Infrastructure Based on Eco-Technologies
type: item
description: This study covers the implementation of a smart neighborhood model in the city of Urganch and the renewal of urban infrastructure based on modern eco-technologies. The study substantiates the relevance of introducing digital control systems, energy-saving solutions, the concept of "green mobility", principles of sustainable urban planning and ecologically safe infrastructure elements. Within the framework of the proposed smart neighborhood model, smart solutions such as intelligent lighting systems, renewable energy sources, sensor-based monitoring, automated waste management system, bicycle and pedestrian lanes are integrated in accordance with the complex climate conditions. The results of the research show that development based on smart and eco-technological infrastructure increases the stability and efficiency of the city, reduces resource consumption and serves to create an environmentally safe, innovative urban environment in Urganch.
subject: Articles
  topic: section
subject: smart neighborhood
  topic: keywords
subject: eco-technologies
  topic: keywords
subject: sustainable urban development
  topic: keywords
creator: Baydjanov I. S.
creator: Iskandarov U. I.
rights: Copyright (c) 2026 American Journal of Engineering , Mechanics and Architecture (2993-2637)
date: 2026-01-29
publication date: 2026-01-29
starting page: 55
ending page: 69

Designing Modern Market Complexes in an Environment of National Harmony
type: item
description: Today, the design of objects that meet modern requirements in the field of urban planning and architecture, while reflecting national heritage, is considered a pressing issue. Market complexes are an important component of the city economy, and they are not only a means of carrying out trade activities, but also an expression of cultural and spiritual unity, social ties and local identity. This article analyzes the methods of integrating national harmony, traditional architectural elements, materials and competitiveness criteria in the process of designing modern market complexes.
subject: Articles
  topic: section
subject: market complex
  topic: keywords
subject: national harmony
  topic: keywords
subject: architecture
  topic: keywords
creator: Sobirov Azamat Sadullayevich
rights: Copyright (c) 2026 American Journal of Engineering , Mechanics and Architecture (2993-2637)
date: 2026-01-28
publication date: 2026-01-28
starting page: 50
ending page: 54