American Journal of Engineering , Mechanics and Architecture (2993-2637)

Deep Learning Skin Disease Diagnosis and Prognosis Based on Artificial Intelligence

Doaa Nawfal Hazim, Fatima Ibrahim Yasser, Zaid M. Khudair, Ahmed Lateef — Fri, 05 Jul 2024 00:00:00 -0400

One of the most common disorder spread between people is dermatology, which have heavily touched to peoples live, these diseases can result from various factors (bacteria, infection or radiation), Identifying these diseases in the initial phase ensure improvement in healing likelihood. In this research, an artificial intelligence system represented by deep learning is used, the model built based on an architecture of Convolutional Neural Network (CNN) along with Visual Geometry Group (VGG16) network to detect three kinds of diseases, identified by “nevus, melanoma and seborrheic keratosis”. A total of 1,403 dataset sourced from Kaggle were used for training and testing. An accurate result of 99.31% were gained, in order to estimate the performance of the methodology suggested. These findings revealed the robustness of CNN-based system to classify the dataset in high accuracy. The presented model main objective is to distinguish between unusual kind of skin disease categories, employing several performance valuations, involving (accuracy, precision, f1-score, recall, and support, and highlighting on most related methodologies in this field.

Accurate Determination of Qibla Direction: A Comparative Study of Haversine, Vincenty, Spherical Trigonometry, Great Circle Navigation, and Equatorial Oblique Cylindrical Projection Algorithms using Python Programing Language

Sat, 06 Jul 2024 00:00:00 -0400

Determining the direction of the Qibla, which points towards the Kaaba in Mecca, is an essential requirement for Muslims during their daily prayers. With the advent of modern computational techniques, various algorithms have been developed to calculate the Qibla direction accurately. This paper presents a comparative study of five widely used algorithms: the Haversine formula, Vincenty's formula, the Spherical Trigonometry method, the Great Circle Navigation method, and the Equatorial Oblique Cylindrical Projection method. We provide a detailed explanation of all five algorithms, highlighting their underlying principles, mathematical formulations, and implementation details using python programing language. Additionally, we analyze the accuracy and performance trade-offs between these methods, enabling users to make informed decisions based on their specific requirements. Also, to evaluate the performance of the algorithms, 300 random locations were generated on the map using Python.

The Architecture of Industrial Buildings in City Conditions

Malikov Ulugbek, Eshmurodov Odiljon — Thu, 04 Jul 2024 00:00:00 -0400

The study focused on examining the formation processes and stages of development of industrial building architecture in Uzbekistan's cities. This text discusses the issues surrounding the design of industrial buildings, including the challenges in their architectural development, methods for improving their design, and the key needs for such buildings. Additionally, it presents the scientific foundations for industrial building projects.