Publications
Machine Learning Framework for HbA1c Prediction: Data Enrichment, Cost Optimization, and Interpretability Through Stratified Regression and Multi-Stage Feature Selection
Machine Learning Framework for HbA1c Prediction: Data Enrichment, Cost Optimization, and Interpretability Through Stratified Regression and Multi-Stage Feature Selection
Multi-class gastrointestinal disease detection using context-aware deep representation learning with feature fusion approach on biomedical endoscopic images
Multiscale Deep Convolutional Neural Network for Enhanced Beam Prediction for mmWave Communications
Modelling of a multi-drone framework for trajectory prediction and deep reinforcement learning-based obstacle classification in dynamic environments
Modelling of Explainable Artificial Intelligence with a Filter-based Attribute Selection Framework for Smart Consumer Healthcare Electronics
Modelling of Bayesian-Based Optimized Transfer Learning Model for Cyber-Attack Detection in Internet of Things Assisted Resource Constrained Systems
Multi-Layer Preprocessing and U-Net with Residual Attention Block for Retinal Blood Vessel Segmentation
Multiple Mobile Sinks for Quality of Service Improvement in Large-Scale Wireless Sensor Networks
Maliciously roaming person's detection around hospital surface using intelligent cloud-edge based federated learning
Method of generating face image based on text description of generating adversarial network
Multiple Ocular Disease Diagnosis Using Fundus Images Based on Multi-Label Deep Learning Classification
Measuring systemic and systematic risk in the financial markets using artificial intelligence
Melanoma Identification Through X-ray Modality Using Inception-v3 Based Convolutional Neural Network
Multi-Stage Intelligent Smart Lockdown using SIR Model to Control COVID 19
Multi-instance cancellable biometrics schemes based on generative adversarial network
Measuring and preventing COVID-19 using the SIR model and machine learning in smart health care