Interference mitigation and energy efficient resource allocation scheme for d2d communication in 5g and beyond
Design and development of deep learning diagnostic model for biomedical applications of sars cov 2
Temporal based approach for the concept drift adaptation in stream data processing
Identification of attacks on software defined network using machine learning approach
Unbalanced data classification using genetic programming
Design of efficient and reliable algorithms to estimate cardiac health information using ppg signals containing motion artifacts
Improving robustness of deep reinforcement learning systems
Automated analysis of emotion recognition and personality prediction using eeg signals
Development of efficient cnn models for plant disease identification
Automation of drone surveillance for search and rescue
Automatic building extraction from remote sensing satellite images
Developing lightweight cnn models for detecting lesions in the medical imaging
Assistive technological solutions for visually impaired
Brain waves to motor imagery tasks classification using machine learning approaches
Human activity recognition for untrimmed video using deep learning approach
Prediction and trend analysis of financial time series deep learning and kernel adaptive filtering perspective
Improving fake news detection using deep learning techniques
Deep learning model compression and acceleration for resource constrained devices
Designing an efficient algorithm for recognition of human emotions through speech
A robust deep neural network for image forgery detection
