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View article: Parameter estimation of photovoltaic models based on improvement of moutain gazelle optimizer algorithm
Parameter estimation of photovoltaic models based on improvement of moutain gazelle optimizer algorithm Open
Introduction The mountain gazelle (Gazella gazella) is a native species to the Middle East and has experienced a notable population decline due to human-induced habitat loss and fragmentation. In Saudi Arabia, the current status and distri…
View article: Enhancing Alzheimer’s disease diagnosis through metaheuristic feature selection and advanced classification techniques
Enhancing Alzheimer’s disease diagnosis through metaheuristic feature selection and advanced classification techniques Open
A diverse array of diagnostic and detection methods has been developed as a result of the advent of Alzheimer’s disease (AD) as a significant global health issue. This study employs bio-inspired algorithms, such as the parrot optimization …
View article: Enhancing Sustainability in Renewable Energy: Comparative Analysis of Optimization Algorithms for Accurate PV Parameter Estimation
Enhancing Sustainability in Renewable Energy: Comparative Analysis of Optimization Algorithms for Accurate PV Parameter Estimation Open
This study presents a comparative analysis of various optimization algorithms—Differential Evolution (DE), Particle Swarm Optimization (PSO), Arithmetic Optimization Algorithm (AOA), and Hippopotamus Optimization Algorithm (HOA)—for parame…
View article: Refined photovoltaic parameters estimation via an improved Sinh Cosh Optimizer with trigonometric operators
Refined photovoltaic parameters estimation via an improved Sinh Cosh Optimizer with trigonometric operators Open
Estimating parameters in solar cell models is crucial for simulating and designing photovoltaic systems. The single-diode, double-diode, and three-diode models represent these systems. Parameter estimation can be viewed as an optimization …
View article: Advanced Feature Extraction and Machine Learning Techniques for Classifying Steam Game Feedback
Advanced Feature Extraction and Machine Learning Techniques for Classifying Steam Game Feedback Open
The gaming industry produces vast amounts of user-generated feedback, making it challenging for developers to efficiently analyze and respond to real-time reviews. This study addresses the problem of classifying large-scale unstructured us…
View article: Reinforcement learning-driven feature selection for enhanced classification in cybersecurity: Applications in IoT security and malware detection
Reinforcement learning-driven feature selection for enhanced classification in cybersecurity: Applications in IoT security and malware detection Open
The effectiveness and efficiency of a machine learning model can be improved by feature selection, especially for high-dimensional datasets such as in cybersecurity. The proposed approach utilizes an enhanced version of the Rainbow agent w…
View article: Analyzing Daytime/Nighttime Pedestrian Crash Patterns in Michigan Using Unsupervised Machine Learning Techniques and their Potential as a Decision-Making Tool
Analyzing Daytime/Nighttime Pedestrian Crash Patterns in Michigan Using Unsupervised Machine Learning Techniques and their Potential as a Decision-Making Tool Open
Background Data mining applications are becoming increasingly common across various fields. Numerous data mining methodologies have been utilized in pedestrian crash data analysis. However, association and correspondence analyses have yet …
View article: Estimation of Trip-based Generation Models and Calibration of Mode Choice Models for the American Travel Behavior
Estimation of Trip-based Generation Models and Calibration of Mode Choice Models for the American Travel Behavior Open
Background The National Household Travel Survey (NHTS) is the primary national dataset for analyzing personal and household travel trends. It covers daily non-commercial travel across all modes and details information on travelers, their h…
View article: Fortifying network security: machine learning-powered intrusion detection systems and classifier performance analysis
Fortifying network security: machine learning-powered intrusion detection systems and classifier performance analysis Open
Intrusion detection systems (IDS) protect networks from threats; they actively monitor network activity to identify and prevent malicious actions. This study investigates the application of machine learning methods to strengthen IDS, expli…
View article: Parameter Estimation of Photovoltaic Models Based on Enhancement Moutain Gazelle Optimizer Algorithm
Parameter Estimation of Photovoltaic Models Based on Enhancement Moutain Gazelle Optimizer Algorithm Open
Accurate parameter estimation in photovoltaic (PV) system design and simulationis essential for optimizing performance. Traditional numerical, analytical,and hybrid methods often fail to deliver quick and precise results. This researchintr…
View article: A comparative analysis of convolutional neural networks for breast cancer prediction
A comparative analysis of convolutional neural networks for breast cancer prediction Open
Breast cancer continues to be a substantial worldwide health concern, affecting millions of individuals each year; this emphasizes the critical nature of early detection in order to enhance patient prognoses. The present study aims to asse…
View article: Predictive modeling for breast cancer based on machine learning algorithms and features selection methods
Predictive modeling for breast cancer based on machine learning algorithms and features selection methods Open
Breast cancer is one of the leading causes of death among women worldwide. However, early prediction of breast cancer plays a crucial role. Therefore, strong needs exist for automatic accurate early prediction of breast cancer. In this pap…
View article: Comparative Analysis of Machine Learning Algorithms for Email Phishing Detection Using TF-IDF, Word2Vec, and BERT
Comparative Analysis of Machine Learning Algorithms for Email Phishing Detection Using TF-IDF, Word2Vec, and BERT Open
View article: Clinical Text Classification with Word Representation Features and Machine Learning Algorithms
Clinical Text Classification with Word Representation Features and Machine Learning Algorithms Open
Clinical text classification of electronic medical records is a challenging task. Existing electronic records suffer from irrelevant text, misspellings, semantic ambiguity, and abbreviations. The approach reported in this paper elaborates …
View article: Bio-Inspired Machine Learning Approach to Type 2 Diabetes Detection
Bio-Inspired Machine Learning Approach to Type 2 Diabetes Detection Open
Type 2 diabetes is a common life-changing disease that has been growing rapidly in recent years. According to the World Health Organization, approximately 90% of patients with diabetes worldwide have type 2 diabetes. Although there is no p…
View article: Virtual reality technology to support the independent living of children with autism
Virtual reality technology to support the independent living of children with autism Open
Many designed systems have shown the potential of virtual reality (VR) to greatly transform autism treatment studies. Indeed, the literature shows that treatment via VR is appropriate for effective and repeatable training, without the inte…
View article: Arabic Music Genre Classification Using Deep Convolutional Neural Networks (CNNs)
Arabic Music Genre Classification Using Deep Convolutional Neural Networks (CNNs) Open
Genres are one of the key features that categorize music based on specific series of patterns. However, the Arabic music content on the web is poorly defined into its genres, making the automatic classification of Arabic audio genres chall…