A survey of video surveillance systems in smart city

Y Myagmar-Ochir, W Kim - Electronics, 2023 - mdpi.com
Smart cities are being developed worldwide with the use of technology to improve the
quality of life of citizens and enhance their safety. Video surveillance is a key component of …

Video-based automatic baby motion analysis for early neurological disorder diagnosis: state of the art and future directions

M Leo, GM Bernava, P Carcagnì, C Distante - Sensors, 2022 - mdpi.com
Neurodevelopmental disorders (NDD) are impairments of the growth and development of
the brain and/or central nervous system. In the light of clinical findings on early diagnosis of …

[HTML][HTML] Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization

Y Himeur, S Al-Maadeed, H Kheddar… - … Applications of Artificial …, 2023 - Elsevier
Recently, developing automated video surveillance systems (VSSs) has become crucial to
ensure the security and safety of the population, especially during events involving large …

Development of a yoga posture coaching system using an interactive display based on transfer learning

C Long, E Jo, Y Nam - The Journal of Supercomputing, 2022 - Springer
Yoga is a form of exercise that is beneficial for health, focusing on physical, mental, and
spiritual connections. However, practicing yoga and adopting incorrect postures can cause …

ENGA: elastic net-based genetic algorithm for human action recognition

IM Nasir, M Raza, SM Ulyah, JH Shah… - Expert Systems with …, 2023 - Elsevier
Video surveillance and activity monitoring are the practical real-time applications of Human
Action Recognition (HAR). A fusion of several Convolutional Neural Network (CNN) …

Deep learning-based yoga posture recognition using the Y_PN-MSSD model for yoga practitioners

A Upadhyay, NK Basha, B Ananthakrishnan - Healthcare, 2023 - mdpi.com
In today's digital world, and in light of the growing pandemic, many yoga instructors opt to
teach online. However, even after learning or being trained by the best sources available …

Optimized Bayesian convolutional neural networks for invasive breast cancer diagnosis system

D Ezzat, AE Hassanien - Applied Soft Computing, 2023 - Elsevier
Deep learning (DL) has depicted unprecedented results in the diagnosis of invasive ductal
carcinoma (IDC). However, most DL methods are not able to infer the uncertainty in their …

A survey on intelligent human action recognition techniques

R Kumar, S Kumar - Multimedia Tools and Applications, 2024 - Springer
Abstract Human Action Recognition is an essential research area in computer vision due to
its automated nature of video monitoring. Human Action Recognition has several …

ActNetFormer: Transformer-ResNet Hybrid Method for Semi-Supervised Action Recognition in Videos

SDS Dass, HB Barua, G Krishnasamy… - … Conference on Pattern …, 2025 - Springer
Human action or activity recognition in videos is a fundamental task in computer vision with
applications in surveillance and monitoring, self-driving cars, sports analytics, human-robot …

[HTML][HTML] Advanced Deep Learning Fusion Model for Early Multi-Classification of Lung and Colon Cancer Using Histopathological Images

AA Abd El-Aziz, MA Mahmood, S Abd El-Ghany - Diagnostics, 2024 - mdpi.com
Background: In recent years, the healthcare field has experienced significant advancements.
New diagnostic techniques, treatments, and insights into the causes of various diseases …