Publications
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 Robust Framework for Assessing Sustainable Technologies for Ef cient Wave Energy Harvesting at Potential Plant Sites
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
Integration of graph neural networks and long short-term memory models for advancing heart failure prediction
An enhanced LSHADE-based algorithm for global and constrained optimization in applied mechanics and power flow problems
BSCP-SG: Blockchain-enabled secure communication protocols for IoT-driven smart grid systems
A multi-objective fuzzy model based on enhanced artificial fish Swarm for multiple RNA sequences alignment
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
Enhanced brain tumor diagnosis using combined deep learning models and weight selection technique
Enhancing software quality assurance in ubiquitous learning environments through mutation testing and diverse test oracles
FIDWATCH: Federated incremental distillation for continuous monitoring of IoT security threats
A contrastive learning approach for enhanced robustness for strengthening federated intelligence in internet of visual things
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
Assessment Criteria of Solar Hydrogen Production Plant Based on Fuzzy Multi-Criteria Decision-Making Methodology
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