Publications
Explainable Optimized LSTM Model for Sustainable Wind Power Forecasting in Smart Cities
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
Efficient multi-finger vein recognition using layer-wise progressive MobileNet fine-tuning and a Dense-Head Probabilistic Siamese Network
Ethical AI in Healthcare: Integrating Zero-Knowledge Proofs and Smart Contracts for Transparent Data Governance
Efficient Arabic Essay Scoring with Hybrid Models: Feature Selection, Data Optimization, and Performance Trade-Offs
Enhancing medical imaging with Ghost-ResNeXt and locust-inspired optimization: A case study on diabetic retinopathy
Edge-Driven Disability Detection and Outcome Measurement in IoMT Healthcare for Assistive Technology
Exploring the Role of AI and Teacher Competencies on Instructional Planning and Student Performance in an Outcome-Based Education System
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
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
Enhancing cardiac diagnostics: a deep learning ensemble approach for precise ECG image classification
Enhancing energy distribution through dynamic multi-hop for heterogeneous WSNs dedicated to IoT-enabled smart grids
Enhancing Breast Cancer Detection in Ultrasound Images: An Innovative Approach Using Progressive Fine‐Tuning of Vision Transformer Models
Enhanced brain tumor diagnosis using combined deep learning models and weight selection technique
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
Element-Based Test Suite Reduction for SARSA-Generated Test Suites
Eliciting and modeling emotional requirements: a systematic mapping review
Energy Efficient Optimization using RTSO Machine Learning Approach Towards Next Generation Optical Network Circuit for Smart Cities
Enhancing security and privacy preservation of sensitive information in e-Health datasets using FCA approach
Energy Efficient Sustainable Wireless Body Area Network Design Using Network Optimization with Smart Grid and Renewable Energy Systems
Efficient way for chemicals identification using hexagonal fiber with the terahertz (THz) band
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
Energy-Aware Task Allocation for Multi-Cloud Networks