Publications
Hybrid deep learning and statistical modeling for interpretable disease progression prediction in medical sciences
AI-Driven Smart Packaging: Enhancing Sustainability and Cybersecurity in Food Supply Chains
Medical and radiation science analysis using a probability U-Net with a GRU model
A privacy preserving medical data management framework using blockchain enabled encrypted role based access control
Enhancing medical imaging with Ghost-ResNeXt and locust-inspired optimization: A case study on diabetic retinopathy
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
Decentralized multi-agent federated and reinforcement learning for smart water management and disaster response
Gamification and Deep Learning-Driven Transformer Feedback Mechanism for Adaptive Language Learning Assessment
Lung cancer diagnosis using statistical methods and the Raman spectroscopy model
The Effect of Using Social Networks on Self-Compassion and Hope Among University Students
Machine learning based on reliable and sustainable electricity supply from renewable energy sources in the agriculture sector
Detecting respiratory diseases using machine learning-based pattern recognition on spirometry data
Advancing healthcare: intelligent speech technology for transcription, disease diagnosis, and interactive control of medical equipment in smart hospitals
Feasibility evaluation of wind energy as a sustainable energy resource
Investigating the potential of geothermal energy as a sustainable replacement for fossil fuels in commercial buildings
Cybersecurity Threats Detection Using Optimized Machine Learning Frameworks.
A Hybrid Classification and Identification of Pneumonia Using African Buffalo Optimization and CNN from Chest X-Ray Images
Implementation of a quantum machine learning model for the categorization and analysis of COVID-19 cases
Enhancing Dorsalgia Prediction using Neutrosophic Sets in a Genetic Algorithm-Optimized Hybrid CNN-LSTM Framework on Spinal Geometry Parameters
Utilizing Neutrosophic Logic in a Hybrid CNN-GRU Framework for Driver Drowsiness Level Detection with Dynamic Spatio-Temporal Analysis Based on Eye Aspect Ratio
Implementation of African vulture optimization algorithm based on deep learning for cybersecurity intrusion detection
A robust deep neural network framework for the detection of diabetes
A novel approach to predicting the stability of the smart grid utilizing MLP-ELM technique
A novel optimized probabilistic neural network approach for intrusion detection and categorization
Utilizing CNN-LSTM techniques for the enhancement of medical systems
Identification of olive leaf disease through optimized deep learning approach
Neutrosophic Fuzzy Neural Network Modelling and Current-Voltage Analysis for Forecasting Post-Surgery Risks
Utilizing a Neutrosophic Fuzzy Logic System with ANN for Short-Term Estimation of Solar Energy
An Efficient Indoor Localization Based on Deep Attention Learning Model
Challenges in internet of things towards the security using deep learning techniques
A blockchain-based hybrid platform for multimedia data processing in IoT-Healthcare
An Enhanced Ant Colony Optimization Mechanism for the Classification of Depressive Disorders
Quantum Computing Optimization Technique for IoT Platform using Modified Deep Residual Approach
Machine Learning Approach for Autonomous Detection and Classification of COVID-19 Virus
An Efficient Energy Management Routing and Scalable Topology in Wireless Sensor Network Using Virtual Backbone
Deep Learning–Based Soft Sensors for Improving the Flexibility for Automation of Industry
An Artificial Neural Network Mechanism for Optimizing the Water Treatment Process and Desalination Process
Error correction algorithms in non-null aspheric testing next generation sequencing data
Efficient E-Mail Spam Detection Strategy Using Genetic Decision Tree Processing with NLP Features
Fog Computing Service in Healthcare Monitoring System for Managing the Real-Time Notification