A review of artificial intelligence based control techniques for power electronics
The integration of Artificial Intelligence (AI) into power electronics marks a major advancement in control techniques, providing increased efficiency, adaptability, and reliability across various industrial and commercial applications. This research paper aims to present and review the fields of AI in control systems, focusing on key AI-based techniques such as neural networks, fuzzy logic, genetic […]
Automatic term extraction for Arabic text: Approaches, techniques, and challenges
Automatic Term Extraction (ATE) is an essential task in Natural Language Processing (NLP) that aims to identify domain-specific terms from large corpora. In the context of Arabic, ATE plays an essential role in applications such as ontology construction, dictionary development, information retrieval, and text mining. However, the rich morphological structure, and orthographic ambiguities of Arabic […]
The feature-value paradox: Unsupervised discovery of strategic archetypes in the smartphone market using machine learning
This study employs unsupervised machine learning, a core branch of Artificial Intelligence (AI), and feature importance analysis to identify strategic archetypes in the smartphone market based solely on technical specifications. Moving be- yond traditional price prediction models, we analyze a comprehensive dataset to discover latent product strategies. Using K-Means clustering, we identify five distinct strategic […]
Automated COVID-19 detection from chest X-rays using HOG features
The COVID-19 pandemic has necessitated the development of rapid and accurate diagnostic tools to assist healthcare professionals in disease detection and management [1]. This study presents a different machine learning framework for COVID-19 classification using chest X-ray images, employing Histogram of Oriented Gradients (HOG) feature extraction combined with Principal Component Analysis (PCA) for dimensionality reduction […]
Development and evaluation of an effective machine learning model for well log prediction: A case study of sonic log prediction of zircon field Niger-Delta Nigeria
The accurate prediction of sonic log data is critical for subsurface characterization and reservoir management in hydrocarbon exploration. Conventional methods of predicting missing well logs which often relied on interpolation techniques or empirical correlations are limited in their ability to capture the complex, nonlinear relationships that exist in subsurface formations. In this study we present […]
The Forensic Epigenetic Landscape: Current Applications, Persistent Challenges, and Future Horizons
The fundamentals of modern forensic science rely on the analysis of short tandem repeats (STRs) to determine individual identity .Although highly effective in identification, this methodology is limited in nature and does not provide any information regarding the donor’s age, tissue origin, or environmental exposure. This critical gap in investigative information has led to the […]
Ensuring Meat Authenticity: Real-Time PCR and Thiamine as Tools for Detecting Adulteration
Meat adulteration is a common problem that can lead to moral loss, religious infractions, and major public health hazards. Technologies for rapid detection are essential for monitoring this problem. This article explores the economic issue of food adulteration, particularly in meat products, and the detection methods for beef and pork adulteration, focusing on thiamine content […]
Nanotechnology in the fight against antimicrobial resistance: Mechanisms, innovations, and future directions
The review addresses the critical global health issue of antimicrobial resistance (AMR) and explores the potential of nanotechnology in developing effective antimicrobial strategies. In spite of the tremendous advancements in contemporary medicine and antimicrobial treatment, infectious illnesses produced by harmful bacteria continue to pose serious hazards to worldwide public health. Early in the 20th century, […]
Tectonic Assessment of the Northwestern Nubian Shield at Southern Sinai, Egypt
The Gulf of Suez is a relatively young continental rift, with its boundaries composed of the Arabian–Nubian Shield basement complex, which formed during the East African Orogeny. The precise effects and significance of the repeated tectonic activities on the Arabian–Nubian Shield, as well as their role in the rifting processes in the Gulf of Suez, […]
A review of phytochemical and biological studies of Cycas species growing in Middle East
The genus Cycas, commonly known as cycads, represents a fascinating group of ancient gymnosperms with a lengthy evolutionary history that dates back to the Mesozoic era. The taxonomy, morphology, ecology, and conservation status of the genus Cycas are all covered in detail in this abstract. A review of phytochemical constituents and biological activities of Cycas […]