Comprehensive investigation on Deep learning models: Applications, Advantages, and Challenges

R Avacharmal, S Pamulaparthyvenkata… - 2024 15th …, 2024 - ieeexplore.ieee.org
Artificial intelligence (AI) and machine learning (ML) have been completely transformed by
deep learning (DL), which provides unmatched power in handling massive, unstructured …

Fall risk prediction using temporal gait features and machine learning approaches

ZK Lim, T Connie, MKO Goh… - Frontiers in Artificial …, 2024 - frontiersin.org
Introduction Falls have been acknowledged as a major public health issue around the world.
Early detection of fall risk is pivotal for preventive measures. Traditional clinical …

Cross-Species Insights: Drawing Lessons Between Bird Lameness Detection and Human Gait Anomaly Detection

F Zorriassatine, E Burton, J Boyd, A Naser… - Proceedings of the 17th …, 2024 - dl.acm.org
Gait, or the unique way every human walks is widely recognised as an important indicator of
overall health and predictor of fall risks. Recently, machine learning based classifiers have …

A Unified Approach for Detecting Emotions through Sentimental and Emotional Analysis

R Prabhu, M Muralidharan, K Sanjeevi… - … Conference on Smart …, 2024 - ieeexplore.ieee.org
In the era of the Internet, social networking sites are becoming indispensable resources for
individuals to share their feelings due to their rapid growth. Many Individuals utilize text …

Smart Patrolling System Using Machine Learning

P Megala, R Prabhu, V Devi… - 2024 Third International …, 2024 - ieeexplore.ieee.org
The implementation of Smart Patrolling System using IoT is to provide a safety to the people
those who are present in the area by the help of fixing a Sound Sensor, Ultrasonic sensor …