Ahmed M. Khedr
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View article: Correction: Osamy et al. Recent Advances and Future Prospects of Using AI Solutions for Security, Fault Tolerance, and QoS Challenges in WSNs. Electronics 2022, 11, 4122
Correction: Osamy et al. Recent Advances and Future Prospects of Using AI Solutions for Security, Fault Tolerance, and QoS Challenges in WSNs. Electronics 2022, 11, 4122 Open
In the original publication [...]
View article: MULTI-CAMERA BASED INTELLIGENT VIDEO SURVEILLANCE SYSTEM USING SSD_MOBILENET_V3
MULTI-CAMERA BASED INTELLIGENT VIDEO SURVEILLANCE SYSTEM USING SSD_MOBILENET_V3 Open
View article: An Adaptive PSO Approach with Modified Position Equation for Optimizing Critical Node Detection in Large-Scale Networks: Application to Wireless Sensor Networks
An Adaptive PSO Approach with Modified Position Equation for Optimizing Critical Node Detection in Large-Scale Networks: Application to Wireless Sensor Networks Open
In recent years, wireless sensor networks (WSNs) have been employed across various domains, including military services, healthcare, disaster response, industrial automation, and smart infrastructure. Due to the absence of fixed communicat…
View article: Transcriptomic Dichotomy in Melanoma: Proliferative Cell Cycle Shield vs. Autoimmune-like Chromatin Activation in Anti-PD-1 Response
Transcriptomic Dichotomy in Melanoma: Proliferative Cell Cycle Shield vs. Autoimmune-like Chromatin Activation in Anti-PD-1 Response Open
Primary resistance to anti-PD-1 therapy in metastatic melanoma remains a clinical challenge. This study reanalyzed the GSE168204 dataset to elucidate molecular mechanisms of resistance and response, incorporating batch correction to addres…
View article: Optimizing Predictive Maintenance in Industrial IoT using Enhanced Genghis Khan Shark Optimizer
Optimizing Predictive Maintenance in Industrial IoT using Enhanced Genghis Khan Shark Optimizer Open
View article: Abnormal behavior detection using intelligent video surveillance
Abnormal behavior detection using intelligent video surveillance Open
Intelligent surveillance systems have a large number of cameras installed. Abnormal vehicle or human entry at a certain location or time may potentially result in monetary loss and/or fatalities. This study develops a multi-surveillance ca…
View article: Enhancing supply chain management with deep learning and machine learning techniques: A review
Enhancing supply chain management with deep learning and machine learning techniques: A review Open
Supply chain management (SCM) is crucial in establishing long-term partnerships that are pivotal for achieving sustained business success. Effective SCM demands rigorous criteria and decision-making processes, which significantly impact th…
View article: Heading Accuracy by Dual Antenna GNSS using Differential and Real Time Kinematic Techniques Compared to Gyrocompass
Heading Accuracy by Dual Antenna GNSS using Differential and Real Time Kinematic Techniques Compared to Gyrocompass Open
View article: Enhancing financial distress prediction through integrated Chinese Whisper clustering and federated learning
Enhancing financial distress prediction through integrated Chinese Whisper clustering and federated learning Open
Financial distress occurs when individuals or companies struggle to meet financial obligations, often due to factors like high fixed costs, illiquidity, or revenue sensitivity to economic downturns. While various machine learning and deep …
View article: EDITORS: Energy-aware Dynamic Task Offloading using Deep Reinforcement Transfer Learning in SDN-enabled Edge Nodes
EDITORS: Energy-aware Dynamic Task Offloading using Deep Reinforcement Transfer Learning in SDN-enabled Edge Nodes Open
In mobile edge computing systems, a task offloading approach should balance efficiency, adaptability, trust management, and reliability. This approach aims to maximise resource utilisation, improve user experience, and satisfy application-…
View article: Dominating Sets-Based Approach for Maximizing Lifetime of IoT-Based Heterogeneous WSNs Enabled Sustainable Smart City Applications
Dominating Sets-Based Approach for Maximizing Lifetime of IoT-Based Heterogeneous WSNs Enabled Sustainable Smart City Applications Open
The versatility and diverse applications of IoT-based Heterogeneous WSN (HWSN) technologies make them valuable tools for achieving sustainability goals in Sustainable Smart Cities (SSCs). Proper management of underlying heterogeneous archi…
View article: Bayesian Optimized Enhanced Ensemble Multi-Layer Perceptron for Rear-End Collision Prediction in IoV
Bayesian Optimized Enhanced Ensemble Multi-Layer Perceptron for Rear-End Collision Prediction in IoV Open
The trend of creating and deploying intelligent transportation systems within the context of the Internet of Vehicles (IoV) concept is gaining traction and attracting interest from both academia and industry. Rear-end collisions, which con…
View article: Lightweight Attribute Localizing Models for Pedestrian Attribute Recognition
Lightweight Attribute Localizing Models for Pedestrian Attribute Recognition Open
Pedestrian Attribute Recognition (PAR) focuses on identifying various attributes in pedestrian images, with key applications in person retrieval, suspect re-identification, and soft biometrics. However, Deep Neural Networks (DNNs) for PAR …
View article: DGTTSSA: Data Gathering Technique Based on Trust and Sparrow Search Algorithm for WSNs
DGTTSSA: Data Gathering Technique Based on Trust and Sparrow Search Algorithm for WSNs Open
Wireless Sensor Networks (WSNs) have been successfully utilized for developing various collaborative and intelligent applications that can provide comfortable and smart-economic life. This is because the majority of applications that emplo…
View article: Attribute recognition for person re-identification using federated learning at all-in-edge
Attribute recognition for person re-identification using federated learning at all-in-edge Open
View article: PRYORTIE: Public on-demand smart transportation service via a scalable fog-based platform
PRYORTIE: Public on-demand smart transportation service via a scalable fog-based platform Open
Over the past few years, the on-demand transport services (e.g., Uber) have witnessed an unprecedented popularity due to its easy-to-adopt model (i.e., a passenger orders a taxi, a request is sent to all drivers in the vicinity, drivers ac…
View article: Reliability Evaluation for Chain Routing Protocols in Wireless Sensor Networks Using Reliability Block Diagram
Reliability Evaluation for Chain Routing Protocols in Wireless Sensor Networks Using Reliability Block Diagram Open
There are many different fields in which wireless sensor networks (WSNs) can be used such as environmental monitoring, healthcare, military, and security. Due to the vulnerability of WSNs, reliability is a critical concern. Evaluation of a…
View article: GALSTM-FDP: A Time-Series Modeling Approach Using Hybrid GA and LSTM for Financial Distress Prediction
GALSTM-FDP: A Time-Series Modeling Approach Using Hybrid GA and LSTM for Financial Distress Prediction Open
Despite the obvious benefits and growing popularity of Machine Learning (ML) technology, there are still concerns regarding its ability to provide Financial Distress Prediction (FDP). An accurate FDP model is required to avoid financial ri…
View article: A Powerful Predicting Model for Financial Statement Fraud Based on Optimized XGBoost Ensemble Learning Technique
A Powerful Predicting Model for Financial Statement Fraud Based on Optimized XGBoost Ensemble Learning Technique Open
This study aims to develop a better Financial Statement Fraud (FSF) detection model by utilizing data from publicly available financial statements of firms in the MENA region. We develop an FSF model using a powerful ensemble technique, th…
View article: SOMACA: A New Swarm Optimization-Based and Mobility-Aware Clustering Approach for the Internet of Vehicles
SOMACA: A New Swarm Optimization-Based and Mobility-Aware Clustering Approach for the Internet of Vehicles Open
The Internet of Vehicles (IoV) has evolved from the classic Vehicular Ad-hoc NETworks (VANETs) as a result of the emergence of the Internet of Things (IoT). IoV is used for communication among vehicles in real-time with their drivers, othe…
View article: Bibliometric analysis on the adoption of artificial intelligence applications in the e-health sector
Bibliometric analysis on the adoption of artificial intelligence applications in the e-health sector Open
Artificial Intelligent (AI) applications in e-health have evolved considerably in the last 25 years. To track the current research progress in this field, there is a need to analyze the most recent trend of adopting AI applications in e-he…
View article: Application of boruta feature selection in enhancing financial distress prediction performance of hybrid MLP_GA
Application of boruta feature selection in enhancing financial distress prediction performance of hybrid MLP_GA Open
Financial distress prediction (FDP) has been a subject of extensive and ongoing research because of its significance in both internal and external components of enterprises including investors and creditors. Financial institutions must to …
View article: Recent Advances and Future Prospects of Using AI Solutions for Security, Fault Tolerance, and QoS Challenges in WSNs
Recent Advances and Future Prospects of Using AI Solutions for Security, Fault Tolerance, and QoS Challenges in WSNs Open
The increasing relevance and significant acceptance of Wireless Sensor Network (WSN) solutions have aided the creation of smart environments in a multitude of sectors, including the Internet of Things, and offer ubiquitous practical applic…
View article: A review on recent studies utilizing artificial intelligence methods for solving routing challenges in wireless sensor networks
A review on recent studies utilizing artificial intelligence methods for solving routing challenges in wireless sensor networks Open
Wireless sensor networks (WSNs) are becoming increasingly important, providing pervasive real-time applications that have been used to enhance smart environments in various fields such as smart cities, manufacturing, and the Internet of Th…
View article: FACS: Fairness aware clustering scheme for monitoring applications of internet of things based wireless sensor networks
FACS: Fairness aware clustering scheme for monitoring applications of internet of things based wireless sensor networks Open
Energy conservation is one of the main challenges hindering the advancement of Wireless Sensor Networks (WSNs) in the Internet of Things (IoT). Although various approaches including probabilistic, deterministic, and mixed model based solut…
View article: Optimized Clustering Protocol for Balancing Energy in Wireless Sensor Networks
Optimized Clustering Protocol for Balancing Energy in Wireless Sensor Networks Open
While wireless sensor networks (WSNs) are increasingly equipped to handle more complex functions and in-network processing may require these battery powered sensors to judiciously use their constrained energy to prolong the effective netwo…
View article: SEPCS: Prolonging Stability Period of Wireless Sensor Networks using Compressive Sensing
SEPCS: Prolonging Stability Period of Wireless Sensor Networks using Compressive Sensing Open
Compressive sensing (CS) is an emerging theory thatis based on the fact that a small number of linear projections of asparse data contains enough information for reconstruction. CScan break through the asymmetry between the data acquisitio…
View article: New Holes and Boundary Detection Algorithm for Heterogeneous Wireless Sensor Networks
New Holes and Boundary Detection Algorithm for Heterogeneous Wireless Sensor Networks Open
Hole is an area in wireless sensor network (WSN) around which nodes cease to sense or communicatedue to drainage of battery or any fault, either temporary or permanent. Holes impair sensing andcommunication functions of network; thus their…
View article: COVID-19 hot-spot strategy: a special innovation in pandemic response, Oyo State Nigeria
COVID-19 hot-spot strategy: a special innovation in pandemic response, Oyo State Nigeria Open
View article: Recent Studies Utilizing Artificial Intelligence Techniques for Solving Data Collection, Aggregation and Dissemination Challenges in Wireless Sensor Networks: A Review
Recent Studies Utilizing Artificial Intelligence Techniques for Solving Data Collection, Aggregation and Dissemination Challenges in Wireless Sensor Networks: A Review Open
The growing importance and widespread adoption of Wireless Sensor Network (WSN) technologies have helped the enhancement of smart environments in numerous sectors such as manufacturing, smart cities, transportation and Internet of Things b…