Publications
Adaptive sampling enhanced deep learning framework for accurate interpretable stroke risk prediction
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
Early detection of sepsis using machine learning algorithms
Investigating the potential of geothermal energy as a sustainable replacement for fossil fuels in commercial buildings
Feasibility evaluation of wind energy as a sustainable energy resource
Advancements in brain tumor identification: Integrating synthetic GANs with federated-CNNs in medical imaging analysis
Cybersecurity Threats Detection Using Optimized Machine Learning Frameworks
Neutrosophic Fuzzy Logic based SVM approach for Enhanced Skin Cancer Prediction
Implementation of African vulture optimization algorithm based on deep learning for cybersecurity intrusion detection
A novel approach to predicting the stability of the smart grid utilizing MLP-ELM technique
Utilizing a Neutrosophic Fuzzy Logic System with ANN for Short-Term Estimation of Solar Energy
A novel optimized probabilistic neural network approach for intrusion detection and categorization
Neutrosophic Fuzzy Neural Network Modelling and Current-Voltage Analysis for Forecasting Post-Surgery Risks
An Efficient Indoor Localization Based on Deep Attention Learning Model
A blockchain-based hybrid platform for multimedia data processing in IoT-Healthcare
Quantum Computing Optimization Technique for IoT Platform using Modified Deep Residual Approach
Machine Learning Approach for Autonomous Detection and Classification of COVID-19 Virus
Deep Learning–Based Soft Sensors for Improving the Flexibility for Automation of Industry
Renewable power source energy consumption by hybrid machine learning mode
Renewable Power Source Energy Consumption by Hybrid Machine Learning Model
Estimation and Prediction of Hospitalization and Medical Care Costs Using Regression in Machine Learning
Detection and classification of Covid-19 in CT-lungs screening using machine learning techniques
An Effective Data Science Technique for IoT-Assisted Healthcare Monitoring System with a Rapid Adoption of Cloud Computing
A Large-Scale Dataset and Deep Learning Model for Detecting and Counting Olive Trees in Satellite Imagery
Machine Algorithm for Heartbeat Monitoring and Arrhythmia Detection Based on ECG Systems
Prediction of Data Threats over Web Medium using Advanced Blockchain based Information Security with Crypto Strategies