Hatem Khater
YOU?
Author Swipe
View article: Advanced real-time detection of acute ischemic stroke using YOLOv12, YOLOv11, and YOLO-NAS: a comparative study for multi-class classification
Advanced real-time detection of acute ischemic stroke using YOLOv12, YOLOv11, and YOLO-NAS: a comparative study for multi-class classification Open
Acute ischemic stroke (AIS) remains a leading cause of mortality and disability worldwide, demanding diagnostic tools that are both accurate and fast for timely intervention. This study presents a comparative evaluation of three state-of-t…
View article: A comprehensive explainable AI approach for enhancing transparency and interpretability in stroke prediction
A comprehensive explainable AI approach for enhancing transparency and interpretability in stroke prediction Open
Stroke is among the leading causes of death, especially among old adults. Thus, the mortality rate and severe cerebral disability can be avoided when stroke is diagnosed at its early stages, followed by subsequent treatment. There is no do…
View article: Explainable AI for Stroke Prediction: A Comprehensive Approach to Enhancing Transparency and Interpretability
Explainable AI for Stroke Prediction: A Comprehensive Approach to Enhancing Transparency and Interpretability Open
Stroke is among the leading causes of death, especially among old adults. Thus, the mortality rate and severe cerebral disability can be avoided when stroke is diagnosed at its early stages, followed by subsequent treatment. There is no do…
View article: Trajectory optimization for 6 DOF robotic arm using WOA, GA, and novel WGA techniques
Trajectory optimization for 6 DOF robotic arm using WOA, GA, and novel WGA techniques Open
Optimizing the trajectory of robotic arms with a high degree of freedom (DOF) is a significant challenge due to the complexity of the design space and the need to balance competing objectives such as time efficiency and energy consumption.…
View article: Whale-Based Trajectory Optimization Algorithm for 6 DOF Robotic Arm
Whale-Based Trajectory Optimization Algorithm for 6 DOF Robotic Arm Open
Trajectory optimal control for a robotic arm with a high degree of freedom (DOF) is challenging. The design space for that problem is complex and the search for an optimal solution is demanding. The design of a robotic arm's trajectory is …
View article: Data reduction for SVM training using density-based border identification
Data reduction for SVM training using density-based border identification Open
Numerous classification and regression problems have extensively used Support Vector Machines (SVMs). However, the SVM approach is less practical for large datasets because of its processing cost. This is primarily due to the requirement o…
View article: A Novel Hybrid Deep Neural Network Classifier for EEG Emotional Brain Signals
A Novel Hybrid Deep Neural Network Classifier for EEG Emotional Brain Signals Open
The field of brain computer interface (BCI) is one of the most exciting areas in the field of scientific research, as it can overlap with all fields that need intelligent control, especially the field of the medical industry. In order to d…
View article: Trajectory Optimization for a 6 DOF Robotic Arm Based on Reachability Time
Trajectory Optimization for a 6 DOF Robotic Arm Based on Reachability Time Open
The design of the robotic arm's trajectory is based on inverse kinematics problem solving, with additional refinements of certain criteria. One common design issue is the trajectory optimization of the robotic arm. Due to the difficulty of…
View article: An Optimized Hierarchal Cluster Formation Approach for Management of Smart Cities
An Optimized Hierarchal Cluster Formation Approach for Management of Smart Cities Open
A smart city is a metropolis technology that employs information technology with several internet of things (IoT) devices to enhance the quality of services for citizens, such as the traffic system, energy consumption, and waste collection…
View article: ODCS: On-Demand Hierarchical Consistent Synchronization Approach for the IoT
ODCS: On-Demand Hierarchical Consistent Synchronization Approach for the IoT Open
An IoT data system is a time constraint in which some data needs to be serviced on or before its deadline. Distributed processing is one of the most latent sources in such systems and is considered a vital design concern. Many sources of d…
View article: I-OPC: An intelligent optimal path computation system using critical path prediction and deep learning for a time-sensitive network
I-OPC: An intelligent optimal path computation system using critical path prediction and deep learning for a time-sensitive network Open
Latency and energy are critical issues when working with time and power-constrained wireless sensor networks. To avoid wasting both time and energy, such systems require selecting optimal communication routes with minimum latency and energ…
View article: Enhancing Facial Emotion Recognition with a Modified Deep Convolutional Neural Network
Enhancing Facial Emotion Recognition with a Modified Deep Convolutional Neural Network Open
Understanding and predicting human character traits play a crucial role in various domains ranging from psychology to human resources.With the advent of artificial intelligence (AI) and deep learning algorithms, researchers have explored t…
View article: Recurrent Neural Networks RNNs and Decision Tree DT Machine Learning-Based Approaches For Transmission System Faults Diagnosis
Recurrent Neural Networks RNNs and Decision Tree DT Machine Learning-Based Approaches For Transmission System Faults Diagnosis Open
Accurate and prompt detection of system faults are crucial to maintain sufficient protection of system equipment, avoid false tripping, and cascaded failures.This paper presents a comprehensive study on the effectiveness of machine learnin…
View article: Path Planning for a 6 DoF Robotic Arm Based on Whale Optimization Algorithm and Genetic Algorithm
Path Planning for a 6 DoF Robotic Arm Based on Whale Optimization Algorithm and Genetic Algorithm Open
The trajectory planning for robotic arms is a significant area of research, given its role in facilitating seamless trajectory execution and enhancing movement efficiency and accuracy. This paper focuses on the development of path planning…
View article: A Fuzzy Interactive BI-objective Model for SVM to Identify the Best Compromise Solution for Measuring the Degree of Infection With Corona Virus Disease (Covid-19)
A Fuzzy Interactive BI-objective Model for SVM to Identify the Best Compromise Solution for Measuring the Degree of Infection With Corona Virus Disease (Covid-19) Open
A support vector machine (SVM) learns the decision surface from two different classes of the input points. In several applications, some of the input points are misclassified and each is not fully allocated to either of these two groups. I…
View article: An Optimized Hierarchal Cluster Formation Approach for Smart Cities
An Optimized Hierarchal Cluster Formation Approach for Smart Cities Open
A smart city uses Internet of Things (IoT) to enhance the management of many daily routine tasks such as traffic system, energy consumption, and waste collection. The Quality of Service (QoS) of these daily routine tasks are based on an as…
View article: iFogRep: An intelligent consistent approach for replication and placement of IoT based on fog computing
iFogRep: An intelligent consistent approach for replication and placement of IoT based on fog computing Open
Recently, the Internet of Things (IoT) has played key roles in every aspect of daily routine tasks. IoT applications suffer from higher latency and limited network bandwidth in the internet core. However, due to bandwidth and resource cons…
View article: An Intelligent Malware Classification Model Based on Image Transformation
An Intelligent Malware Classification Model Based on Image Transformation Open
Due to financial incentives, the number of malware infections is steadily rising. Accuracy and effectiveness are essential because malware detection systems serve as the first line of defense against harmful attacks. A zero-day vulnerabili…
View article: An MRI-based deep learning approach for accurate detection of Alzheimer’s disease
An MRI-based deep learning approach for accurate detection of Alzheimer’s disease Open
Alzheimer’s disease (AD) is the most prevalent type of dementia of the nervous system that causes many brain functions to weaken (eg, memory loss). Non-invasive early diagnosis of AD has attracted a lot of research attention nowadays as ea…
View article: An Intelligent Combined Visual Navigation Brain Model/GPS/MEMS–INS/ADSFCF Method to Develop Vehicle Independent Guidance Solutions
An Intelligent Combined Visual Navigation Brain Model/GPS/MEMS–INS/ADSFCF Method to Develop Vehicle Independent Guidance Solutions Open
This paper presents an integrated navigation system that can function more efficiently than an inertial navigation system (INS), the results of which are not precise enough because of drifts caused by accelerometers. The paper’s proposed a…
View article: A Fuzzy Interactive BI-objective Model for SVM to Identify the Best Compromise Solution for Measuring the Degree of Infection With Corona Virus Disease (Covid-19)
A Fuzzy Interactive BI-objective Model for SVM to Identify the Best Compromise Solution for Measuring the Degree of Infection With Corona Virus Disease (Covid-19) Open
A support vector machine (SVM) learns the decision surface from two different classes of the input points. In several applications, some of the input points are misclassified and each is not fully allocated to either of these two groups. I…
View article: Applying Artificial Intelligence Techniques to Improve Clinical Diagnosis of Alzheimer’s Disease
Applying Artificial Intelligence Techniques to Improve Clinical Diagnosis of Alzheimer’s Disease Open
Alzheimer's disease (AD) is a significant regular type of dementia that causes damage in brain cells. Early detection of AD acting as an essential role in global health care due to misdiagnosis and sharing many clinical sets with other typ…
View article: A Fuzzy BI-Objective Model for SVM with an Interactive Procedure to Identify the Best Compromise Solution
A Fuzzy BI-Objective Model for SVM with an Interactive Procedure to Identify the Best Compromise Solution Open
A support vector machine (SVM) learns the decision surface from two different classes of the input points. In many applications, there are misclassifications in some of the input points and each is not fully assigned to one of these two cl…
View article: A CNN Classification Model For Diagnosis Covid19
A CNN Classification Model For Diagnosis Covid19 Open
The paper demonstrates the analysis of Corona Virus Disease based on a CNN probabilistic model. It involves a technique for classification and prediction by recognizing typical and diagnostically most important CT images features relating …
View article: A BI-objective Model for SVM With an Interactive Procedure to Identify the Best Compromise Solution
A BI-objective Model for SVM With an Interactive Procedure to Identify the Best Compromise Solution Open
A support vector machine (SVM) learns the decision surface from two different classes of the input points, there are misclassifications in some of the input points in several applications.In this paper a bi-objective quadratic programming …
View article: Building A Bi-objective Quadratic Programming Model for the Support Vector Machine
Building A Bi-objective Quadratic Programming Model for the Support Vector Machine Open
A support vector machine (SVM) learns the decision surface from two different classes of the input points, in many applications there are misclassifications in some of the input points.In this paper a biobjective quadratic programming mode…
View article: Applying Artificial Intelligence Techniques for Prediction of Neurodegenerative Disorders: A Comparative Case-Study on Clinical Tests and Neuroimaging Tests with Alzheimer’s Disease
Applying Artificial Intelligence Techniques for Prediction of Neurodegenerative Disorders: A Comparative Case-Study on Clinical Tests and Neuroimaging Tests with Alzheimer’s Disease Open
Alzheimer's disease (AD) detection acting as an essential role in global health care due to misdiagnosis and sharing many clinical sets with other types of dementia, and costly monitoring the progression of the disease over time by magneti…
View article: Applying Artificial Intelligence Techniques to Improve Clinical Diagnosis of Alzheimer’s Disease
Applying Artificial Intelligence Techniques to Improve Clinical Diagnosis of Alzheimer’s Disease Open
Alzheimer's disease (AD) is a significant regular type of dementia that causes damage in brain cells. Early detection of AD acting as an essential role in global health care due to misdiagnosis and sharing many clinical sets with other typ…