The influence of dropout and residual connection against membership inference attacks on transformer model: a neuro generative disease case study

S Ben Hamida, S Ben Hamida, A Snoun… - Multimedia Tools and …, 2024 - Springer
Alzheimer's patients necessitate consistent support from caregivers or family members,
highlighting the urgency for advanced technologies to aid in their daily lives through early …

Reinforcement Learning for assistance of Alzheimer's disease patients

WB Taleb, A Snoun, T Bouchrika… - 2022 8th International …, 2022 - ieeexplore.ieee.org
Alzheimer's disease is a chronic brain disease with multi-factorial causes that begins in the
middle of life. It affects the patient in many ways, like the ability to perform daily life activities …

Review of Three Dimensional Human Action Recognition

AZS Yii, KH Lim, CWR Chiong - 2024 International Conference …, 2024 - ieeexplore.ieee.org
Three-dimensional human action recognition (HAR) is crucial in many research domains,
such as robotics, sports, surveillance and virtual reality. However, to achieve high accuracy …

[PDF][PDF] MediaPipe with GNN for Human Activity Recognition.

N Jlidi, S Kouni, O Jemai… - Journal of Universal …, 2024 - pdfs.semanticscholar.org
Human interaction and computer vision converge in the realm of Human Activity Recognition
(HAR), which is a research field dedicated to the creation of automated systems capable of …

A Review on Transformer-Based Methods for Human Activity Recognition

FS Lesani, R Fatahi - International Journal of Web Research, 2024 - ijwr.usc.ac.ir
With the expansion of smart homes, Human Activity Recognition (HAR) has become a key
challenge in artificial intelligence, enhancing not only the comfort and safety of residents but …

[CITATION][C] Video surveillance system-based human activity recognition using hierarchical auto-associative polynomial convolutional neural network with garra rufa …

P Thiruvenkatam, P Thangavel… - … Journal of Pattern …, 2024 - World Scientific
Nowadays, video surveillance systems are gaining increasing attention in the computer
vision fields due to user demands for security purposes. Observing human movement and …