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Sign Explainer An Explainable AI Enabled Framework for Sign Language Recognition With Ensemble Learning
Aim: To enhance the accuracy, robustness and interpretability of sign language recognition system Synopsis: Sign Language recognition is a pioneering framework designed to advance the field of Sign Language Recognition (SLR) through the innovative applic..
Sleep Apnea Detection From Single-Lead ECG: A Comprehensive Analysis of Machine Learning and Deep Learning Algorithms
Aim: We proposed detecting Sleep Apnea Detection From Single-Lead ECG. The advancement of smart wearables technologies has provided a unique opportunity for sleep and health monitoring. However, wearable technologies rely on accurate and real-time monitoring algorithms.Abstract..
Text Mining and Emotion Classification on Monkey pox Twitter Dataset A Deep Learning Natural Language Processing NLP Approach
Aim: To conduct an in depth analysis of emotions expressed by individuals on social media in response to the monkey pox outbreak. Synopsis: The presented work outlines a research study focused on the emotion classification of social media responses to the monkey pox..
Toward Fast and Accurate Violence Detection for Automated Video Surveillance Applications
Aim: To detect and identify the Violation detection using Deep-Learning techniques.Abstract: The widespread deployment of surveillance cameras, enabled by digital video technologies, has created an overwhelming volume of data that poses challenges for r..
Traffic Signs Recognition using CNN and Keras
Aim: To detect and identify the Traffic Signs detection using CNN.Abstract: Traffic sign recognition and detection are critical in expert systems for effectively recognizing traffic signs along the road, such as left hair pin bend, parking l..