Publications
AI-enabled cybersecurity framework for future 5G wireless infrastructures
Revolutionizing artificial intelligence enabled predictive analytics with smart consumer electronics for real-time healthcare monitoring
Revolutionizing artificial intelligence enabled predictive analytics with smart consumer electronics for real-time healthcare monitoring
Explainable Optimized LSTM Model for Sustainable Wind Power Forecasting in Smart Cities
Machine Learning Framework for HbA1c Prediction: Data Enrichment, Cost Optimization, and Interpretability Through Stratified Regression and Multi-Stage Feature Selection
Machine Learning Framework for HbA1c Prediction: Data Enrichment, Cost Optimization, and Interpretability Through Stratified Regression and Multi-Stage Feature Selection
Energy-efficient threat detection in IoT healthcare using AI and blockchain-enhanced fog–cloud architecture
Edge Driven Trust Aware Threat Detection for IoT Enabled Intelligent Transportation Systems
Progressive Attention-Enhanced EfficientNet–UNet for Robust Water-Body Mapping from Satellite Imagery
A Systematic Review of Diffusion Models for Medical Image-Based Diagnosis: Methods, Taxonomies, Clinical Integration, Explainability, and Future Directions
A Score-Fusion Method Based on the Sine Cosine Algorithm for Enhanced Multimodal Biometric Authentication
A Score-Fusion Method Based on the Sine Cosine Algorithm for Enhanced Multimodal Biometric Authentication
RAUM-GANs: a multi-layer GAN-enhanced framework for accurate multiple sclerosis lesion segmentation in MRI
A Secure Architecture for intelligent internet of vehicle systems using advanced dimensionality reduction with deep ensemble models
A novel adaptive hybrid intrusion detection system with lightweight optimization for enhanced security in internet of medical things
A novel adaptive hybrid intrusion detection system with lightweight optimization for enhanced security in internet of medical things
A Non-Embedding Watermarking Framework Using MSB-Driven Reference Mapping for Distortion-Free Medical Image Authentication
Efficient multi-finger vein recognition using layer-wise progressive MobileNet fine-tuning and a Dense-Head Probabilistic Siamese Network
Automated project scheduling from UML sequence diagrams using OCR and critical path analysis
Beyond Quaternions: Adaptive Fixed-Time Synchronization of High-Dimensional Fractional-Order Neural Networks Under Lévy Noise Disturbances
AI-embedded IoT healthcare optimization with trust-aware mobile edge computing
Integrating AI chatbots for enhancing academic support in business education: A SEM-Based study toward sustainable learning
Next-Generation Quantum Security: The Impact of Quantum Computing on Cybersecurity—Threats, Mitigations, and Solutions
An artificial intelligence-based approach empowered by signal decomposition for short-term forecasting of energy consumption in non-residential buildings
Leveraging Innovative Hybrid Machine Learning Models to Predict Drought and Optimize Water Resources Based on Climate Change
A keyless multimodal-based user authentication scheme using generative adversarial networks
AI-Driven SDN and Blockchain-Based Routing Framework for Scalable and Trustworthy AIoT Networks
A Robust Framework for Assessing Sustainable Technologies for Ef cient Wave Energy Harvesting at Potential Plant Sites
Multi-class gastrointestinal disease detection using context-aware deep representation learning with feature fusion approach on biomedical endoscopic images
Multiscale Deep Convolutional Neural Network for Enhanced Beam Prediction for mmWave Communications
The Interactive Educational System Using Artificial Intelligence Techniques
Ethical AI in Healthcare: Integrating Zero-Knowledge Proofs and Smart Contracts for Transparent Data Governance
Lightweight Multi-Agent Edge Framework for Cybersecurity and Resource Optimization in Mobile Sensor Networks
Efficient Arabic Essay Scoring with Hybrid Models: Feature Selection, Data Optimization, and Performance Trade-Offs
Modelling of a multi-drone framework for trajectory prediction and deep reinforcement learning-based obstacle classification in dynamic environments
CID-RPL: Clone ID Attack detection using Deep Neural Network for RPL-based IoT Networks
Securing the Road Ahead: A Survey on Internet of Vehicles Security Powered by a Conceptual Blockchain-Based Intrusion Detection System for Smart Cities
Integrating dynamic water ecosystem changes and socio-cultural metrics for wastewater plant siting: A machine learning approach
Adaptive Observer Design with Fixed-Time Convergence, Online Disturbance Learning, and Low-Conservatism Linear Matrix Inequalities for Time-Varying Perturbed Systems
An efficient deep-learning model for olive tree diseases diagnosis in Al-Jouf region
Enhancing medical imaging with Ghost-ResNeXt and locust-inspired optimization: A case study on diabetic retinopathy
Facile and optimal decision support model for development photovoltaic solar power toward sustainability: Four case studies for selection location, manufacturer, technology
High-speed and potentially scalable UWOC/UWB converged transmission link for underwater wireless optical sensor networks
Hybrid TCN-transformer model for predicting sustainable food supply and ensuring resilience
Transforming Disability Into Ability: An Explainable Vision-to-Voice Image Captioning Framework Using Transformer Models and Edge Computing
Modelling of Explainable Artificial Intelligence with a Filter-based Attribute Selection Framework for Smart Consumer Healthcare Electronics
Actuator and sensor fault estimation for T–S fuzzy fractional-order systems based on adaptive and sliding mode observers
Edge-Driven Disability Detection and Outcome Measurement in IoMT Healthcare for Assistive Technology
Decentralized Identity Management in Cloud Computing: A Blockchain‐Based Solution With Automatic Provisioning Techniques
Integration of graph neural networks and long short-term memory models for advancing heart failure prediction
Real-time e-health framework for efficient AI-driven disability monitoring using secured Internet of Medical Things
Automatic Classification of 5G Waveform-Modulated Signals Using Deep Residual Networks
AI-based prediction of traffic crash severity for improving road safety and transportation efficiency
AI-based prediction of traffic crash severity for improving road safety and transportation efficiency
Left Meets Right: A Siamese Network Approach to Cross-Palmprint Biometric Recognition
Security and privacy in multi-cloud and hybrid cloud environments: Challenges, strategies, and future directions
Security and privacy in multi-cloud and hybrid cloud environments: Challenges, strategies, and future directions
Deep learning for enhancing automatic classification of M-PSK and M-QAM waveform signals dedicated to single-relay cooperative MIMO 5G systems
Observer-based finite-time boundedness of polynomial fuzzy models with time delay
Addressing Class Overlap in Sonic Hedgehog Medulloblastoma Molecular Subtypes Classification Using Under-sampling and SVD-Enhanced Multinomial Regression
Exploring the Role of AI and Teacher Competencies on Instructional Planning and Student Performance in an Outcome-Based Education System
An enhanced LSHADE-based algorithm for global and constrained optimization in applied mechanics and power flow problems
Optimized YOLOv8 for enhanced breast tumor segmentation in ultrasound imaging
A predominant intrusion detection system in IIoT using ELCG-DSA and LWS-BiOLSTM with blockchain
Automated Detection and Severity Prediction of Wheat Rust Using Cost-Effective Xception Architecture
AI-based prediction of traffic crash severity for improving road safety and transportation efficiency
Aggregated Catalyst Physicochemical Descriptor-Driven Machine Learning for Catalyst Optimization: Insights into Oxidative-Coupling-of-Methane Dynamics and C2 Yields
A Hybrid Framework Combining Rule-Based and Deep Learning Approaches for Data-Driven Verdict Recommendations
BSCP-SG: Blockchain-enabled secure communication protocols for IoT-driven smart grid systems
Optimized Autonomous Computing with Trusted Resilient Data Management for IoT Emerging Networks
Integrating sentiment analysis with machine learning for cyberbullying detection on social media
Ensemble deep learning for Alzheimer’s disease diagnosis using MRI: Integrating features from VGG16, MobileNet, and InceptionResNetV2 models
Ensemble deep learning for Alzheimer’s disease diagnosis using MRI: Integrating features from VGG16, MobileNet, and InceptionResNetV2 models
An online learning method for assessing smart grid stability under dynamic perturbations
Automatic Stutter Speech Recognition and Classification Using Hyper-Heuristic Search Algorithm
Detection and Diagnosis of ECH Signal Wearable System for Sportsperson using Improved Monkey-based Search Support Vector Machine
Integrated Electrically Small Monopole and Slotted Array Antenna Design for Next-Generation Microwave and mm-wave Wireless Systems
Facial Expression Recognition for Healthcare Monitoring Systems Using Neural Random Forest
Comprehensive Network Analysis of Lung Cancer Biomarkers Identifying Key Genes Through RNA‐Seq Data and PPI Networks
AI-Powered Motion Analysis in Physical Education: GANs and Bayesian Approaches
Robotic Automation-Driven Breast Cancer Prediction Integrating Histological Subtypes and Lymph Node Awareness Using AENF-EL and VEGN-PTD
Intrusion detection in smart grids using artificial intelligence-based ensemble modelling
A multi-objective fuzzy model based on enhanced artificial fish Swarm for multiple RNA sequences alignment
Intrusion detection in smart grids using artificial intelligence-based ensemble modelling
Optimized machine learning framework for cardiovascular disease diagnosis: a novel ethical perspective
Optimized machine learning framework for cardiovascular disease diagnosis: a novel ethical perspective
Comprehensive Network Analysis of Lung Cancer Biomarkers Identifying Key Genes Through RNA-Seq Data and PPI Networks
Assessment and Analysis of Development Risks under Uncertainty: The Impact of Disruptive Technologies on Renewable Energy Development
Intelligent decision support framework for assessment of alternative vehicle technologies in transportation system: A sustainable approach toward environmental remedy
Automated Detection and Severity Prediction of Wheat Rust Using Cost-Effective Xception Architecture
Enhancing cardiac diagnostics: a deep learning ensemble approach for precise ECG image classification
Ensemble deep learning for Alzheimer’s disease diagnosis using MRI: Integrating features from VGG16, MobileNet, and InceptionResNetV2 models
Comprehensive Network Analysis of Lung Cancer Biomarkers Identifying Key Genes Through RNA-Seq Data and PPI Networks
Development of a Sustainable and Optimized Energy Ecosystem with Real-Time Monitoring through Innovative IoT-Based Actuator Design for Human-Centric Security in Smart Cities
Non-Invasive Cancer Detection Using Blood Test and Predictive Modeling Approach
A Hybrid Approach for Sports Activity Recognition Using Key Body Descriptors and Hybrid Deep Learning Classifier
Joint Rough Set Theory and XGBoost Based Learning for Network Intrusion Detection System
Obfuscated Malware Detection and Classification in Network Traffic Leveraging Hybrid Large Language Models and Synthetic Data
Enhancing cardiac diagnostics: a deep learning ensemble approach for precise ECG image classification
A Novel Hyper-Tuned Multilayer Perceptron With Effective Stochastic Learning Strategies for Missing Values Imputation
A novel ensemble learning method using majority based voting of multiple selective decision trees
Enhancing energy distribution through dynamic multi-hop for heterogeneous WSNs dedicated to IoT-enabled smart grids
Enhancing emotion prediction using deep learning and distributed federated systems with SMOTE oversampling technique.
Advancing Disability Healthcare Solutions Through Privacy‐Preserving Federated Learning With Theme Framework
Computational challenges and solutions: Prime number generation for enhanced data security
Enhancing Breast Cancer Detection in Ultrasound Images: An Innovative Approach Using Progressive Fine‐Tuning of Vision Transformer Models
Optimized Hybrid Deep Learning Framework for Early Detection of Alzheimer’s Disease Using Adaptive Weight Selection
Optimized Hybrid Deep Learning Framework for Early Detection of Alzheimer’s Disease Using Adaptive Weight Selection
Dynamic proactive–reactive scheduling for URLLC in 5G: Leveraging XGBoost and network virtualization
Ontology-Driven and Semantic Web-Enabled Framework for Intelligent eLearning System
SENTINEY: Securing ENcrypted mulTI-party computatIoN for Enhanced data privacY and phishing detection
Deep learning and ubiquitous systems for disabled people detection using YOLO models
3D Object Classification with Selective Multi-View Fusion and Shape Rendering
Sketch–to–3D: Transforming Hand-Sketched Floorplans into 3D Layouts
Enhanced brain tumor diagnosis using combined deep learning models and weight selection technique
Improving Monitoring of Indoor RF-EMF Exposure Using IoT-Embedded Sensors and Kriging Techniques
Enhancing Breast Cancer Detection in Ultrasound Images: An Innovative Approach Using Progressive Fine-tuning of Vision Transformer Models
Enhancing software quality assurance in ubiquitous learning environments through mutation testing and diverse test oracles
Modelling of Bayesian-Based Optimized Transfer Learning Model for Cyber-Attack Detection in Internet of Things Assisted Resource Constrained Systems
Facial Expression Recognition for Healthcare Monitoring Systems Using Neural Random Forest
The smart enhancement of near field sensing range for terahertz antenna in 6G wireless communication systems
Application of extreme machine learning for smart agricultural robots to reduce manoeuvering adaptability errors
Selective Multi-View Deep Model for 3D Object Classification
FIDWATCH: Federated incremental distillation for continuous monitoring of IoT security threats
A hybrid approach of ensemble learning and grey wolf optimizer for DNA splice junction prediction
Toward a novel taxonomy to capture code smells caused by refactoring
FIDWATCH: Federated Incremental Distillation for Continuous Monitoring of IoT Security Threats
Design systematic wireless inventory trackers with prolonged lifetime and low energy consumption in future 6G network
Integration and analysis of diverse healthcare data sources: A novel solution
Intrusion detection in smart grids using artificial intelligence-based ensemble modelling
A Comprehensive Exploration of L-UNet Approach: Revolutionizing Medical Image Segmentation
A contrastive learning approach for enhanced robustness for strengthening federated intelligence in internet of visual things
Selection of a smart and secure education school system based on the Internet of Things using Entropy and TOPSIS approaches
Incremental RBF-based cross-tier interference mitigation for resource-constrained dense IoT networks in 5G communication system
Analytic prediction for acceptable pricing in industry interaction with complex network evolution based on knowledge graph fusion
Fog-based deep learning framework for real-time pandemic screening in smart cities from multi-site tomographies
Synergizing AI, IoT, and Blockchain for Diagnosing Pandemic Diseases in Smart Cities: Challenges and Opportunities
CSS: An Android Application for Solving the CPU Process Scheduling Problems
Layer-Weighted Attention and Ascending Feature Selection: An Approach for Seriousness Level Prediction Using the FDA Adverse Event Reporting System
Layer-Weighted Attention and Ascending Feature Selection: An Approach for Seriousness Level Prediction Using the FDA Adverse Event Reporting System
An Efcient Deep Learning Approach for DNA‑Binding Proteins Classification from Primary Sequences
Improvement of Smart Grid Stability Based on Artificial Intelligence with Fusion Methods
Element-Based Test Suite Reduction for SARSA-Generated Test Suites
ABAUS: Active Bundle AUthentication Solution Based on SDN for Vehicular Networks
Analytic prediction for acceptable pricing in industry interaction with complex network evolution based on knowledge graph fusion
Transformative synergy: SSEHCET—bridging mobile edge computing and AI for enhanced eHealth security and efficiency
Eliciting and modeling emotional requirements: a systematic mapping review
Assessment Criteria of Solar Hydrogen Production Plant Based on Fuzzy Multi-Criteria Decision-Making Methodology
Advancing Cephalometric Soft-Tissue Landmark Detection: An Integrated AdaBoost Learning Approach Incorporating Haar-Like and Spatial Features
Hybrid Learning Blockchain assisted approach to Secure Software Defined Networks
An Adaptive Flow-based NIDS for Smart Home Networks Against Malware Behavior Using XGBoost combined with Rough Set Theory
Energy Efficient Optimization using RTSO Machine Learning Approach Towards Next Generation Optical Network Circuit for Smart Cities
Multi-Layer Preprocessing and U-Net with Residual Attention Block for Retinal Blood Vessel Segmentation
An Improved Harris Hawks Optimization Algorithm Based on Bi-Goal Evolution and Multi-Leader Selection Strategy for Multi-Objective Optimization
Anomaly Detection in Smart Agriculture Systems on Network Edge Using Deep Learning Technique
SFMR-SH: Secure Framework for Mitigating Ransomware Attacks in Smart Healthcare Using Blockchain Technology
Breast Ultrasound Images Augmentation and Segmentation Using GAN with Identity Block and Modified U-Net 3+
Breast Ultrasound Images Augmentation and Segmentation Using GAN with Identity Block and Modified U-Net 3+
Multiple Mobile Sinks for Quality of Service Improvement in Large-Scale Wireless Sensor Networks
An Approach for Cancer-Type Classification Using Feature Selection Techniques with Convolutional Neural Network
An Approach for Cancer-Type Classification Using Feature Selection Techniques with Convolutional Neural Network
Sentiment Analysis for Predicting Stress among Workers and Classification utilizing CNN: Unveiling the Mechanism
Seamless transformation from use case to sequence diagrams
Implementation of African vulture optimization algorithm based on deep learning for cybersecurity intrusion detection
Improved Manta Ray Foraging Optimizer-based SVM for Feature Selection Problems: A Medical Case Study
Strengthening cloud security: an innovative multi-factor multi-layer authentication framework for cloud user authentication
Reliable prediction of software defects using Shapley interpretable machine learning models
Towards a Secure Technology-Driven Architecture for Smart Health Insurance Systems: An Empirical Study
Data Protection in IoT using CoAP based on Enhanced DTLS
A Health Monitoring System Using IoT-Based Android Mobile Application
A Health Monitoring System Using IoT-Based Android Mobile Application
Enhancing security and privacy preservation of sensitive information in e-Health datasets using FCA approach
A novel approach to predicting the stability of the smart grid utilizing MLP-ELM technique
Automatic Recognition of Beam Attachment for Massive MIMO System in Densely Distributed Renewable Energy Resources
Smartphone User Identification/Authentication Using Accelerometer and Gyroscope Data
Detection of Gallbladder Disease Types Using Deep Learning: An Informative Medical Method
Formalizing the Semantics of DDS QoS Policies for Improved Communications in Distributed Smart Grid Applications
Development of a Smart Signalization for Emergency Vehicles
Automatic Clustering for Improved Radio Environment Maps in Distributed Applications
Blockchain as a Services Based Deep Facial Feature Extraction Architecture for Student Attention Evaluation in Online Education
A-Tuning Ensemble Machine Learning Technique for Cerebral Stroke Prediction
Utilizing CNN-LSTM techniques for the enhancement of medical systems
A-Tuning Ensemble Machine Learning Technique for Cerebral Stroke Prediction
AI and IoT-Assisted Sustainable Education Systems during Pandemics like Covid-19 for Smart Cities
Securing Low-Power Blockchain-Enabled IoT Devices Against Energy Depletion Attack
Applications of Depth Minimization of Decision Trees Containing Hypotheses for Multiple-Value Decision Tables
Improved Siamese Palmprint Authentication using Pre-trained VGG16-Palmprint and Element-wise Absolute Difference
Robustness Fine-Tuning Deep Learning Model for Cancers Diagnosis Based on Histopathology Image Analysis
Innovative Forward Fusion Feature Selection Algorithm for Sentiment Analysis Using Supervised Classification
Innovative Forward Fusion Feature Selection Algorithm for Sentiment Analysis Using Supervised Classification
A Novel Classification Model of Date Fruit Dataset Using Deep Transfer Learning
Workers’ Opinions on Using the Internet of Things to Enhance the Performance of the Olive Oil Industry: A Machine Learning Approach
Maliciously roaming person's detection around hospital surface using intelligent cloud-edge based federated learning
Robust Sentimental Class Prediction Based on Cryptocurrency-Related Tweets Using Tetrad of Feature Selection Techniques in Combination with Filtered Classifier
Supporting Spatial Thinking in Augmented Reality Narrative: A Field Study
Decision Trees with Hypotheses
A Robust Classification Approach for Brain MRI
An Enhanced Machine Learning Approach for Brain MRI Classification
An efficient method to detect DDoS attack in cloud computing
Energy Efficient Sustainable Wireless Body Area Network Design Using Network Optimization with Smart Grid and Renewable Energy Systems
Customer Decision-Making Analysis Based on Big Social Data Using Machine Learning: A Case Study of Hotels in Mecca
Design of circular photonic crystal fiber for OAM extraction SDM applications
SVM‐based generative adverserial networks for federated learning and edge computing attack model and outpoising
Wireless communication channel modeling using machine learning
Method of generating face image based on text description of generating adversarial network
Analysis and evaluation of Internet Protocol Television (IPTV)
Combating Comment Spam with Machine Learning Approaches
Efficient way for chemicals identification using hexagonal fiber with the terahertz (THz) band
Fuzzy-assisted machine learning framework for the fog-computing system in remote healthcare monitoring
Impact of Social Media on Geopolitics and Economic Growth: Mitigating the Risks by Developing Artificial Intelligence and Cognitive Computing Tools
Key Technologies, Applications and Trends of Internet of Things for Energy-Efficient 6G Wireless Communication in Smart Cities
AI-based computer vision using deep learning in 6G wireless networks
Novel VNFI Security Management Function Block For Improved Security Framework For SDN/NFV Networks
RTF-RCNN: An Architecture for Real-Time Tomato Plant Leaf Diseases Detection in Video Streaming Using Faster-RCNN
A novel deep learning-assisted hybrid network for plasmodium falciparum parasite mitochondrial proteins classification
ITS Traffic Violation Regulation Based on Blockchain Smart Contracts
BTH: Behavior-Based Structured Threat Hunting Framework to Analyze and Detect Advanced Adversaries
An Efficient Authentication Scheme Using Blockchain as a Certificate Authority for the Internet of Drones
APPLICATION ANALYSIS OF DIGITAL NEURAL NETWORK-BASED DATA MINING METHOD IN MAXIMIZING THE PERFORMANCE OF SPORTS TRAINING
A Hybrid Method Using Ensembles of Neural Network and Text Mining for Learner Satisfaction Analysis from Big Datasets in Online Learning Platform
Public’s Mental Health Monitoring via Sentimental Analysis of Financial Text Using Machine Learning Techniques
Public’s Mental Health Monitoring via Sentimental Analysis of Financial Text Using Machine Learning Techniques
IoT-Oriented 6G Wireless Network System for Smart Cities
Real-Time Task Scheduling Algorithm for IoT-Based Applications in the Cloud Fog Environment
Design of High Speed OFDM-SAC-OCDMA based FSO System Using EDW Codes for Supporting 5G Data Services and Smart City Applications
Android Device Malware Classification Framework Using Multistep Image Feature Extraction and Multihead Deep Neural Ensemble
Multiple Ocular Disease Diagnosis Using Fundus Images Based on Multi-Label Deep Learning Classification
Fuzzy-assisted machine learning framework for the fog-computing system in remote healthcare monitoring
A Precise Medical Imaging Approach for Brain MRI Image Classification
Securing Low-Power Blockchain-Enabled IoT Devices Against Energy Depletion Attack
Signal-to-Noise Ratio Comparison of Several Filters against Phantom Image
Detection Algorithm of Wind Power Equipment Video Image Sequence Based on Artificial Intelligence
Comparative Analysis of Machine Learning Algorithms and Data Mining Techniques for Predicting the Existence of Heart Disease
Measuring systemic and systematic risk in the financial markets using artificial intelligence
Classification COVID-19 Based on Enhancement X-Ray Images and Low Complexity Mode
Melanoma Identification Through X-ray Modality Using Inception-v3 Based Convolutional Neural Network
New Opportunities, Challenges, and Applications of Edge-AI for Connected Healthcare in Internet of Medical Things for Smart Cities
Classification of Citrus Diseases Using Optimization Deep Learning Approach
Predicting the prevalence of lung cancer using feature transformation techniques
Resolving phase unwrapping in interferometric synthetic aperture radar using deep recurrent residual U-Net
Blockchain and Fog Computing in IoT-Driven Healthcare Services for Smart Cities
Secure Authentication Scheme Using Diffie-Hellman Key Agreement for Smart IoT Irrigation Systems
H Fault Estimation and Fault-Tolerant Control for T-S Fuzzy Systems with Actuator and Sensor Faults Using Sliding Mode Observer
Prediction of covid-19 transmission in the united states using google search trends
Holistic word descriptor for lexicon reduction in handwritten arabic documents
Improving Sentiment Analysis for Social Media Applications Using an Ensemble Deep Learning Language Model
Prediction Model for Coronavirus Pandemic Using Deep Learning
An Efficient Method for Detection of DDos Attacks on the Web Using Deep Learning Algorithms
Anomaly Detection in Smart Home Networks Using Kalman Filter
DOI: https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484507
Detecting Semantic-based Similarity between Verses of the Quran with Doc2vec
Estimation of Organizational Competitiveness by a Hybrid of One-Dimensional Convolutional Neural Networks and Self-Organizing Maps Using Physiological Signals for Emotional Analysis of Employees
Comparative Analysis of Lossless Image Compression Algorithms based on Different Types of Medical Images
Classification of Arabic Tweets: A Review
Intelligent Ammunition Detection and Classification System Using Convolutional Neural Network
Boosting Breast Cancer Detection Using Convolutional Neural Network
Multi-Stage Intelligent Smart Lockdown using SIR Model to Control COVID 19
Multi-instance cancellable biometrics schemes based on generative adversarial network
Cloud-Based Diabetes Decision Support System Using Machine Learning Fusion
Internet of things and ransomware: Evolution, mitigation and prevention
Random Projection-Based Feature Transformation Using Metaheuristic Optimization Algorithm
Measuring and preventing COVID-19 using the SIR model and machine learning in smart health care
Energy-Aware Task Allocation for Multi-Cloud Networks
Quranic Topic Modelling Using Paragraph Vectors
A hybrid energy-Aware virtual machine placement algorithm for cloud environments
A comprehensive study for Arabic Sentiment Analysis (Challenges and Applications)
F-DCTCP: Fair Congestion Control for SDN-Based Data Center Networks
A comparative evaluation of techniques for sharing AR experiences in museums
Optimization of m-MDPDPTW Using the Continuous and Discrete PSO
AR in the Gallery: The Psychogeographer's Table.
Secure Data Exchange and Data Leakage Detection in an Untrusted Cloud
Watchful-Eye: A 3D Skeleton-Based System for Fall Detection of Physically-Disabled Cane Users
Secure Data Communication in Autonomous V2X Systems
Arabic Solid-Stems for an Efficient Morphological Analysis
ProxemicUI: Object-Oriented Middleware and Event Model for Proxemics-Aware Applications on Large Displays
Behavior- based approach to detect spam over IP telephony attacks
The Impact of Learning Styles on Learner's Performance in E-Learning Environment
DT-DT: Top-down Human Activity Analysis for Interactive Surface Applications
OBAME: Optimized Bio-inspired Algorithm to Maximize Search Efficiency in P2P Databases