Salama A. Mostafa
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View article: Improved Iris Biometric Identification Through Hybrid Stochastic Search and Shark Smell Optimization
Improved Iris Biometric Identification Through Hybrid Stochastic Search and Shark Smell Optimization Open
The retina is regarded as the most reliable and precise biometric because of its uniqueness and unchangeability. It is a critical factor that requires high accuracy and speed during recognition. Therefore, new iris recognition methods redu…
View article: An Ensemble Learning Model for Multi-Type Cancer Prediction in Clinical Diagnostic Decision Support Systems
An Ensemble Learning Model for Multi-Type Cancer Prediction in Clinical Diagnostic Decision Support Systems Open
View article: Enhancing IoV Integration: The Critical Role of Secure Data Transmission in IoT and Electric Vehicle Ecosystems
Enhancing IoV Integration: The Critical Role of Secure Data Transmission in IoT and Electric Vehicle Ecosystems Open
Efficient data transmission within this ecosystem is critical as integrating the Internet of Things (IoT) and Electric Vehicles (EVs) becomes increasingly common. This study examines the crucial role of data transmission in Internet of Veh…
View article: Detecting DDoS Attacks in Network Traffic Based on Supervised Machine Learning Techniques
Detecting DDoS Attacks in Network Traffic Based on Supervised Machine Learning Techniques Open
One of the major concerns in network security that pose a big challenge to safeguarding networks is distributed denial-of-service (DDoS) attacks. Such attacks often lead to breaches of trust in online systems, cause significant losses in f…
View article: Applying Deep Learning Models to Breast Ultrasound Images for Automating Breast Cancer Diagnosis
Applying Deep Learning Models to Breast Ultrasound Images for Automating Breast Cancer Diagnosis Open
Breast cancer is a result of uncontrolled human cell division. The vast growth of breast cancer patients has been an issue worldwide. Most of the patients are women, but breast cancer also affects men with a much lesser percentage. Breast …
View article: Retraction Note: An agent architecture for autonomous UAV flight control in object classification and recognition missions
Retraction Note: An agent architecture for autonomous UAV flight control in object classification and recognition missions Open
View article: Optimizing Smart Power Grid Stability Based on the Prediction of a Deep Learning Model
Optimizing Smart Power Grid Stability Based on the Prediction of a Deep Learning Model Open
A smart grid is an electricity transmission system that uses digital technology to control getting and dispatching electricity from all generation sources to satisfy end users' fluctuating electricity demands. It achieves this through depl…
View article: Retraction Note: COVID-CheXNet: hybrid deep learning framework for identifying COVID-19 virus in chest X-rays images
Retraction Note: COVID-CheXNet: hybrid deep learning framework for identifying COVID-19 virus in chest X-rays images Open
View article: LTEM: Lightweight Trust Evaluation Model in IoT Environment
LTEM: Lightweight Trust Evaluation Model in IoT Environment Open
In the domain of the Internet of Things (IoT), data reliability is important, particularly within critical sectors like healthcare, environmental surveillance, and smart grids. Nevertheless, data transfer from the physical domain to the di…
View article: A Deep Learning-based Fault Detection and Classification in Smart Electrical Power Transmission System
A Deep Learning-based Fault Detection and Classification in Smart Electrical Power Transmission System Open
Progressively, the energy demands and responsibilities to control the demands have expanded dramatically. Subsequently, various solutions have been introduced, including producing high-capacity electrical generating power plants, and apply…
View article: Retraction Note: Decision-level fusion scheme for nasopharyngeal carcinoma identification using machine learning techniques
Retraction Note: Decision-level fusion scheme for nasopharyngeal carcinoma identification using machine learning techniques Open
View article: Software Agent Simulation Design on the Efficiency of Food Delivery
Software Agent Simulation Design on the Efficiency of Food Delivery Open
Food delivery services have gained popularity since the emergence of online food delivery. Since the recent pandemic, the demand for service has increased tremendously. Due to several factors that affect how much time additional riders spe…
View article: Optimization of Electrical Discharge Machining Process by Metaheuristic Algorithms
Optimization of Electrical Discharge Machining Process by Metaheuristic Algorithms Open
Because of its versatility and ability to work with difficult materials, Electrical Discharge Machining (EDM) has become an essential tool in many different industries. It can produce precise shapes and intricate details. EDM has transform…
View article: Suicide prospective prediction based on pattern analysis of suicide factor
Suicide prospective prediction based on pattern analysis of suicide factor Open
People who seem unable to make it through life may make the tragic and saddening decision to end their lives. The nation's backbone is its youth; with their health and bravery, they have the power to influence the future of society. Nevert…
View article: Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs
Hybrid Optimization with Enhanced QoS-based Path Selection in VANETs Open
Vehicular ad hoc networks (VANETs) recently covered a wide range of intelligent transportation systems (ITSs) and applications.VANETs consist of convinced unique characteristics such as dynamic movement and high speed.Due to these characte…
View article: Vehicles Speed Estimation Model from Video Streams for Automatic Traffic Flow Analysis Systems
Vehicles Speed Estimation Model from Video Streams for Automatic Traffic Flow Analysis Systems Open
Image and video processing have been widely used to provide traffic parameters, which will be used to improve certain areas of traffic operations. This research aims to develop a model for estimating vehicle speed from video streams to sup…
View article: Salp swarm and gray wolf optimizer for improving the efficiency of power supply network in radial distribution systems
Salp swarm and gray wolf optimizer for improving the efficiency of power supply network in radial distribution systems Open
The efficiency of distribution networks is hugely affected by active and reactive power flows in distribution electric power systems. Currently, distributed generators (DGs) of energy are extensively applied to minimize power loss and impr…
View article: Multi-Granularity Tooth Analysis via Faster Region-Convolutional Neural Networks for Effective Tooth Detection and Classification
Multi-Granularity Tooth Analysis via Faster Region-Convolutional Neural Networks for Effective Tooth Detection and Classification Open
In image classification, multi-granularity refers to the ability to classify images with different levels of detail or resolution. This is a challenging task because the distinction between subcategories is often minimal, needing a high le…
View article: A Meta-Heuristic Method for Reassemble Bifragmented Intertwined JPEG Image Files in Digital Forensic Investigation
A Meta-Heuristic Method for Reassemble Bifragmented Intertwined JPEG Image Files in Digital Forensic Investigation Open
Traditional image recovery from corrupted file systems plays a significant role in Digital Forensics investigation. The images are mainly considered objective court evidence. Since the JPEG image format is less structured than other image …
View article: A Refactoring Classification Framework for Efficient Software Maintenance
A Refactoring Classification Framework for Efficient Software Maintenance Open
The expenses associated with software maintenance and evolution constitute a significant portion, surpassing more than 80% of the overall costs involved in software development. Refactoring, a widely embraced technique, plays a crucial rol…
View article: An Attention-Augmented Convolutional Neural Network With Focal Loss for Mixed-Type Wafer Defect Classification
An Attention-Augmented Convolutional Neural Network With Focal Loss for Mixed-Type Wafer Defect Classification Open
Silicon wafer defect classification is crucial for improving fabrication and chip production. Although deep learning methods have been successful in single-defect wafer classification, the increasing complexity of the fabrication process h…
View article: Deep learning in distributed denial-of-service attacks detection method for Internet of Things networks
Deep learning in distributed denial-of-service attacks detection method for Internet of Things networks Open
With the rapid growth of informatics systems’ technology in this modern age, the Internet of Things (IoT) has become more valuable and vital to everyday life in many ways. IoT applications are now more popular than they used to be due to t…
View article: An Attention-Based Deep Regional Learning Model for Enhanced Finger Vein Identification
An Attention-Based Deep Regional Learning Model for Enhanced Finger Vein Identification Open
Finger vein biometrics is one of the most promising ways to identify a person because it can provide uniqueness, protection against forgery, and bioassay. Due to the limitations of the imaging environments, however, the finger vein images …
View article: A Nested Monte Carlo Simulation Model for Enhancing Dynamic Air Pollution Risk Assessment
A Nested Monte Carlo Simulation Model for Enhancing Dynamic Air Pollution Risk Assessment Open
The risk assessment of air pollution is an essential matter in the area of air quality computing. It provides useful information supporting air quality (AQ) measurement and pollution control. The outcomes of the evaluation have societal an…
View article: A multi‐agent K‐means with case‐based reasoning for an automated quality assessment of software requirement specification
A multi‐agent K‐means with case‐based reasoning for an automated quality assessment of software requirement specification Open
Automating the quality assessment of Software Requirement Specification poses major challenges related to the need for advanced algorithms to extract the SRS quality features, interpret the context of the features, formulate accurate asses…
View article: A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network
A collaborated genetic with lion optimization algorithms for improving the quality of forwarding in a vehicular ad-hoc network Open
Vehicular ad-hoc network (VANET) is dynamic and it works on various noteworthy applications in intelligent transportation systems (ITS). In general, routing overhead is more in the VANETs due to their properties. Hence, need to handle this…
View article: Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction Open
Distributed denial of service (DDoS) attacks are one of the most common global challenges faced by service providers on the web. It leads to network disturbances, interruption of communication and significant damage to services. Researcher…
View article: Retraction Note: Decision support system for nasopharyngeal carcinoma discrimination from endoscopic images using artificial neural network
Retraction Note: Decision support system for nasopharyngeal carcinoma discrimination from endoscopic images using artificial neural network Open
View article: Deep Residual Learning Image Recognition Model for Skin Cancer Disease Detection and Classification
Deep Residual Learning Image Recognition Model for Skin Cancer Disease Detection and Classification Open
Skin cancer is undoubtedly one of the deadliest diseases, and early detection of this disease can save lives. The usefulness and capabilities of deep learning in detecting and categorizing skin cancer based on images have been investigated…
View article: Deep Learning Approach for Prediction of Brain Tumor from Small Number of MRI Images
Deep Learning Approach for Prediction of Brain Tumor from Small Number of MRI Images Open
Daily, the computer industry has been moving towards machine intelligence. Deep learning is a subfield of artificial intelligence (AI)'s machine learning (ML). It has AI features that mimic the functioning of the human brain in analyzing d…