Walaa H. Elashmawi
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View article: Hybrid Young’s double-slit experiment and differential evolution for enhanced photovoltaic parameter estimation
Hybrid Young’s double-slit experiment and differential evolution for enhanced photovoltaic parameter estimation Open
This article introduces a novel hybrid optimization method, the Young's Double-Slit Experiment-Differential Evolution (YDSE-DE) technique, which is based on the integration of the YDSE approach with the robust capabilities of Differential …
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: Intelligent Intrusion Detection System Using RF, SVM, and DT: A Comparison-Based KDD Data Set
Intelligent Intrusion Detection System Using RF, SVM, and DT: A Comparison-Based KDD Data Set Open
The rapid growth of technology has brought about many advantages, but has also made networks more susceptible to security threats. Intrusion Detection Systems (IDS) play a vital role in protecting computer networks against malicious activi…
View article: A New Version of the Golden Eagle Optimizer Algorithm And Its Application For Solving A Trio-Objective Skillful Team Formation Problem In A Social Network
A New Version of the Golden Eagle Optimizer Algorithm And Its Application For Solving A Trio-Objective Skillful Team Formation Problem In A Social Network Open
Metaheuristic methods have demonstrated their utility in tackling global optimization problems with and without constraints. However, existing state-of-the-art (SOTA) algorithms often suffer from limitations such as premature convergence, …
View article: A Deep Learning Framework For Myocardial Infarction Detection From Apical-4-Chamberechocardiograms: Combining Segmentation And Machine Learning Classification
A Deep Learning Framework For Myocardial Infarction Detection From Apical-4-Chamberechocardiograms: Combining Segmentation And Machine Learning Classification Open
Purpose: Myocardial infarction is a highly fatal cardiac disease caused by reduced blood flow to parts of or the whole cardiac muscle. Early detection and immediate intervention can greatly reduce the severity of damage to the heart muscle…
View article: Machine Learning for Enhanced COPD Diagnosis: A Comparative Analysis of Classification Algorithms
Machine Learning for Enhanced COPD Diagnosis: A Comparative Analysis of Classification Algorithms Open
Background: In the United States, chronic obstructive pulmonary disease (COPD) is a significant cause of mortality. As far as we know, it is a chronic, inflammatory lung condition that cuts off airflow to the lungs. Many symptoms have been…
View article: CNN-Based Early Diagnosis of Breast Cancer with Variable Image Resolutions
CNN-Based Early Diagnosis of Breast Cancer with Variable Image Resolutions Open
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: Utilizing Various Machine Learning Techniques for Diabetes Mellitus Feature Selection and Classification
Utilizing Various Machine Learning Techniques for Diabetes Mellitus Feature Selection and Classification Open
Diabetes mellitus is a chronic disease affecting over 38.4 million adults worldwide. Unfortunately, 8.7 million were undiagnosed. Early detection and diagnosis of diabetes can save millions of people's lives. Significant benefits can be ac…
View article: Comprehensive Evaluation of Machine Learning Techniques for Obstructive Sleep Apnea Detection
Comprehensive Evaluation of Machine Learning Techniques for Obstructive Sleep Apnea Detection Open
View article: Heart Disease Diagnosis Using Decision Trees with Feature Selection Method
Heart Disease Diagnosis Using Decision Trees with Feature Selection Method Open
The advancement in treating medical data grows significantly daily. An accurate data classification model can help determine patient disease and diagnose disease severity in the medical domain, thus easing doctors' treatment burdens. Nonet…
View article: An Adaptive Jellyfish Search Algorithm for Packing Items with Conflict
An Adaptive Jellyfish Search Algorithm for Packing Items with Conflict Open
The bin packing problem (BPP) is a classic combinatorial optimization problem with several variations. The BPP with conflicts (BPPCs) is not a well-investigated variation. In the BPPC, there are conditions that prevent packing some items t…
View article: A Novel Approach for Improving Guitarists’ Performance Using Motion Capture and Note Frequency Recognition
A Novel Approach for Improving Guitarists’ Performance Using Motion Capture and Note Frequency Recognition Open
New guitarists face multiple problems when first starting out, and these mainly stem from a flood of information that they are presented with. Students also typically struggle with proper pitch frequency recognition and accurate left-hand …
View article: IOT Based Smart Parking System Using Ensemble Learning
IOT Based Smart Parking System Using Ensemble Learning Open
Parking space is usually very limited in major cities, especially Cairo, leading to traffic congestion, air pollution, and driver frustration. Existing car parking systems tend to tackle parking issues in a non-digitized manner. These syst…
View article: IOT Based Smart Parking Using Machine Learning Algorithms
IOT Based Smart Parking Using Machine Learning Algorithms Open
View article: Hybrid Chaotic Salp Swarm with Crossover Algorithm for Underground Wireless Sensor Networks
Hybrid Chaotic Salp Swarm with Crossover Algorithm for Underground Wireless Sensor Networks Open
Resource management in Underground Wireless Sensor Networks (UWSNs) is one of the pillars to extend the network lifetime. An intriguing design goal for such networks is to achieve balanced energy and spectral resource utilization. This pap…
View article: Hybrid crow search and uniform crossover algorithm-based clustering for top-N recommendation system
Hybrid crow search and uniform crossover algorithm-based clustering for top-N recommendation system Open
Recommender systems (RSs) have gained immense popularity due to their capability of dealing with a huge amount of information available in various domains. They are considered to be information filtering systems that make predictions or re…
View article: An improved Jaya algorithm with a modified swap operator for solving team formation problem
An improved Jaya algorithm with a modified swap operator for solving team formation problem Open
Forming a team of experts that can match the requirements of a collaborative task is an important aspect, especially in project development. In this paper, we propose an improved Jaya optimization algorithm for minimizing the communication…
View article: A chaotic owl search algorithm based bilateral negotiation model
A chaotic owl search algorithm based bilateral negotiation model Open
Negotiation is a core activity between stakeholders with different goals. This paper offers a solution based on the automated bilateral negotiation model using a recent meta-heuristic algorithm Owl Search Algorithm (OSA), and chaos theory.…
View article: An improved particle swarm optimization with a new swap operator for team formation problem
An improved particle swarm optimization with a new swap operator for team formation problem Open
View article: An Improved African Buffalo Optimization Algorithm for Collaborative Team Formation in Social Network
An Improved African Buffalo Optimization Algorithm for Collaborative Team Formation in Social Network Open
Collaborative team formation in a social network is an important aspect for solving a real-world problem that requires different expert skills to achieve it.In this paper, we propose an improved African Buffalo Optimization algorithm integ…
View article: Stability Coalition Formation with Cost Sharing in Multi-Agent Systems Based on Volume Discount
Stability Coalition Formation with Cost Sharing in Multi-Agent Systems Based on Volume Discount Open
In Multi Agent Systems (MAS), cooperation among agents to form coalitions based on volume discounts is a key topic. Such cooperation enables agents to achieve goals that they may not have been able to achieve independently at lower prices …