Publications
Adaptive sampling enhanced deep learning framework for accurate interpretable stroke risk prediction
Advancements in brain tumor identification: Integrating synthetic GANs with federated-CNNs in medical imaging analysis
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
An Efficient Indoor Localization Based on Deep Attention Learning Model
A blockchain-based hybrid platform for multimedia data processing in IoT-Healthcare
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