Ashraf Osman Ibrahim
YOU?
Author Swipe
View article: RETRACTED: Pandian et al. Improving Efficiency of Large RFID Networks Using a Clustered Method: A Comparative Analysis. Electronics 2022, 11, 2968
RETRACTED: Pandian et al. Improving Efficiency of Large RFID Networks Using a Clustered Method: A Comparative Analysis. Electronics 2022, 11, 2968 Open
The journal retracts the article “Improving Efficiency of Large RFID Networks Using a Clustered Method: A Comparative Analysis” [...]
View article: Advanced dynamic ensemble framework with explainability driven insights for precision brain tumor classification across datasets
Advanced dynamic ensemble framework with explainability driven insights for precision brain tumor classification across datasets Open
View article: Comparative investigation of bagging enhanced machine learning for early detection of HCV infections using class imbalance technique with feature selection
Comparative investigation of bagging enhanced machine learning for early detection of HCV infections using class imbalance technique with feature selection Open
Around 1.5 million new cases of Hepatitis C Virus (HCV) are diagnosed globally each year (World Health Organization, 2023). Consequently, there is a pressing need for early diagnostic methods for HCV. This study investigates the prognostic…
View article: RGB and RGNIR image dataset for machine learning in plastic waste detection
RGB and RGNIR image dataset for machine learning in plastic waste detection Open
View article: Enhancing the RC4 Algorithm by Eliminating the Initiative Vector (IV) Transmission
Enhancing the RC4 Algorithm by Eliminating the Initiative Vector (IV) Transmission Open
The Rivest Cipher RC4 encryption algorithm is commonly utilized to generate keys of varying lengths. Despite its rapid processing speed, vulnerabilities within the algorithm have made it susceptible to exploitation, allowing attackers to c…
View article: Extending DDPG with Physics-Informed Constraints for Energy-Efficient Robotic Control
Extending DDPG with Physics-Informed Constraints for Energy-Efficient Robotic Control Open
View article: Weighted Fusion of Machine Learning Models for Enhanced Student Performance Prediction
Weighted Fusion of Machine Learning Models for Enhanced Student Performance Prediction Open
Accurately predicting student academic outcomes is essential for enabling early interventions, improving learning support systems, and enhancing decision-making in higher education. This study proposes a weighted ensemble framework that in…
View article: FPGA-Based Implementation of Enhanced DGHV Homomorphic Encryption: A Power-Efficient Approach to Secure Computing
FPGA-Based Implementation of Enhanced DGHV Homomorphic Encryption: A Power-Efficient Approach to Secure Computing Open
View article: Unmasking vulnerabilities by a pioneering approach to securing smart IoT cameras through threat surface analysis and dynamic metrics
Unmasking vulnerabilities by a pioneering approach to securing smart IoT cameras through threat surface analysis and dynamic metrics Open
The concept of the Internet of Things (IoT) threat surface refers to the overall susceptibility of smart devices to potential security risks. This vulnerability includes the combined impact of security weaknesses, gaps in protective measur…
View article: Enhanced centroid-based energy-efficient clustering routing protocol for serverless based wireless sensor networks
Enhanced centroid-based energy-efficient clustering routing protocol for serverless based wireless sensor networks Open
Serverless computing is a new concept as cloud computing, which dynamically manages the networks and is applied in Serverless Wireless Sensor Networks (SWSN) to help the networks. These networks are becoming famous for monitoring various p…
View article: Stacking with Recursive Feature Elimination-Isolation Forest for classification of diabetes mellitus
Stacking with Recursive Feature Elimination-Isolation Forest for classification of diabetes mellitus Open
Diabetes Mellitus is one of the oldest diseases known to humankind, dating back to ancient Egypt. The disease is a chronic metabolic disorder that heavily burdens healthcare providers worldwide due to the steady increment of patients yearl…
View article: Crop type classification and spatial mapping in River Nile and Northern State, Sudan, using Sentinel-2 satellite data and field observation
Crop type classification and spatial mapping in River Nile and Northern State, Sudan, using Sentinel-2 satellite data and field observation Open
Maintaining productive farmland necessitates precise crop mapping and identification. While satellite remote sensing makes it possible to generate such maps, there are still issues to resolve, such as how to choose input data and the best …
View article: Fortifying home IoT security: A framework for comprehensive examination of vulnerabilities and intrusion detection strategies for smart cities
Fortifying home IoT security: A framework for comprehensive examination of vulnerabilities and intrusion detection strategies for smart cities Open
Smart home devices have brought in a disruptive, revolutionary Internet-based ecosystem that enhanced our daily lives but has pushed private data from inside our homes to external public sources. Threats and attacks mounted against IoT dep…
View article: Adaptive Stochastic Conjugate Gradient Optimization for Backpropagation Neural Networks
Adaptive Stochastic Conjugate Gradient Optimization for Backpropagation Neural Networks Open
Backpropagation neural networks are commonly utilized to solve complicated issues in various disciplines. However, optimizing their settings remains a significant task. Traditional gradient-based optimization methods, such as stochastic gr…
View article: Enhanced Early Detection of Oral Squamous Cell Carcinoma via Transfer Learning and Ensemble Deep Learning on Histopathological Images
Enhanced Early Detection of Oral Squamous Cell Carcinoma via Transfer Learning and Ensemble Deep Learning on Histopathological Images Open
View article: Breaking new ground in cardiovascular heart disease Diagnosis K-RFC: An integrated learning approach with K-means clustering and Random Forest classifier
Breaking new ground in cardiovascular heart disease Diagnosis K-RFC: An integrated learning approach with K-means clustering and Random Forest classifier Open
The ability to accurately anticipate heart failure risks in a timely manner is essential because heart failure has been identified as one of the leading causes of death. In this paper, we propose a novel method for identifying cardiovascu…
View article: Smart Patient Monitoring and Recommendation (SPMR) Using Cloud Analytics and Deep Learning
Smart Patient Monitoring and Recommendation (SPMR) Using Cloud Analytics and Deep Learning Open
The escalating global prevalence of chronic and lifestyle-related illnesses presents substantial societal and economic challenges. This work delves into an extensive review of healthcare monitoring systems tailored for chronic and lifestyl…
View article: Extraction of Association Rules from Cancer Patient’s Records using F-P Growth Algorithm
Extraction of Association Rules from Cancer Patient’s Records using F-P Growth Algorithm Open
Cancer is a leading cause of mortality worldwide, and Sudan has a high cancer burden. The issue is that the data acquired from cancer patients grows yearly, and standard methodologies for analyzing this data are no longer adequate. Data mi…
View article: Revolutionizing Healthcare by Unleashing the Power of Machine Learning in Diagnosis and Treatment
Revolutionizing Healthcare by Unleashing the Power of Machine Learning in Diagnosis and Treatment Open
Machine learning (ML) is a versatile technology that has the potential to revolutionize various industries. ML can predict future trends in customer expectations that allow organizations to develop new products accordingly. ML is a crucial…
View article: Exploring the Connectivity Between Education 4.0 and Classroom 4.0: Technologies, Student Perspectives, and Engagement in the Digital Era
Exploring the Connectivity Between Education 4.0 and Classroom 4.0: Technologies, Student Perspectives, and Engagement in the Digital Era Open
The democratic welfare government is equally committed to quality-driven, impartial, and egalitarian education. The major contribution of this study is to examine the problems and opportunities posed by the incorporation of digital technol…
View article: Roles of Blockchain in the Metaverse: Concepts, Taxonomy, Recent Advances, Enabling Technologies, and Open Research Issues
Roles of Blockchain in the Metaverse: Concepts, Taxonomy, Recent Advances, Enabling Technologies, and Open Research Issues Open
The Metaverse platform offers 3D immersive experiences through virtual reality, artificial intelligence, and blockchain technologies. Blockchain-based Metaverse has garnered recent interest due to its decentralization, anonymity, and other…
View article: Framework to perform taint analysis and security assessment of IoT devices in smart cities
Framework to perform taint analysis and security assessment of IoT devices in smart cities Open
The Internet of Things has a bootloader and applications responsible for initializing the device’s hardware and loading the operating system or firmware. Ensuring the security of the bootloader is crucial to protect against malicious firmw…
View article: E-Learning-Based Cloud Computing Environment: A Systematic Review, Challenges, and Opportunities
E-Learning-Based Cloud Computing Environment: A Systematic Review, Challenges, and Opportunities Open
New technologies drive educational shifts, transforming offline to online learning. This study investigates e-learning and cloud computing integration to understand synergies and their potential impact. The study addresses two primary rese…
View article: PBEMS: A Permissioned Blockchain-based Equipment Maintenance System in Smart Manufacturing
PBEMS: A Permissioned Blockchain-based Equipment Maintenance System in Smart Manufacturing Open
In the realm of smart manufacturing, equipment plays a pivotal role, impacting the efficiency and quality of production. Ensuring equipment availability and optimal performance is crucial, necessitating effective maintenance strategies. Th…
View article: Classification of COVID-19 Symptoms Using Multilayer Perceptron
Classification of COVID-19 Symptoms Using Multilayer Perceptron Open
The COVID-19 virus had easily affected people worldwide through direct contact. Individuals diagnosed with positive COVID-19 virus may be affected with many symptoms, such as fever, tiredness, dry cough, difficulty in breathing, sore throa…
View article: Semi-supervised learning and bidirectional decoding for effective grammar correction in low-resource scenarios
Semi-supervised learning and bidirectional decoding for effective grammar correction in low-resource scenarios Open
The correction of grammatical errors in natural language processing is a crucial task as it aims to enhance the accuracy and intelligibility of written language. However, developing a grammatical error correction (GEC) framework for low-re…
View article: Exploring Performance Degradation in Virtual Machines Sharing a Cloud Server
Exploring Performance Degradation in Virtual Machines Sharing a Cloud Server Open
Cloud computing has become a leading technology for IT infrastructure, with many companies migrating their services to cloud servers in recent years. As cloud services continue to expand, the issue of cloud monitoring has become increasing…
View article: An Advanced Strategy for Addressing Heterogeneity in SDN-IoT Networks for Ensuring QoS
An Advanced Strategy for Addressing Heterogeneity in SDN-IoT Networks for Ensuring QoS Open
The internet of things (IoT) is a complex system that includes multiple technologies and services. However, its heterogeneity can result in quality-of-service (QoS) issues, which may lead to security challenges. Software-defined network (S…
View article: Machine Learning-Based Anomaly Detection in NFV: A Comprehensive Survey
Machine Learning-Based Anomaly Detection in NFV: A Comprehensive Survey Open
Network function virtualization (NFV) is a rapidly growing technology that enables the virtualization of traditional network hardware components, offering benefits such as cost reduction, increased flexibility, and efficient resource utili…
View article: Optimizing the impact of data augmentation for low-resource grammatical error correction
Optimizing the impact of data augmentation for low-resource grammatical error correction Open
Grammatical Error Correction (GEC) refers to the automatic identification and amendment of grammatical, spelling, punctuation, and word-positioning errors in monolingual texts. Neural Machine Translation (NMT) is nowadays one of the most v…