[HTML][HTML] A comprehensive survey on deep facial expression recognition: challenges, applications, and future guidelines
Facial expression recognition (FER) is an emerging and multifaceted research topic.
Applications of FER in healthcare, security, safe driving, and so forth have contributed to the …
Applications of FER in healthcare, security, safe driving, and so forth have contributed to the …
A comprehensive review on vision-based violence detection in surveillance videos
Recent advancements in intelligent surveillance systems for video analysis have been a
topic of great interest in the research community due to the vast number of applications to …
topic of great interest in the research community due to the vast number of applications to …
Intelligent dual stream CNN and echo state network for anomaly detection
Traditional video surveillance systems detect abnormal events via human involvement,
which is exhausting and erroneous, while computer vision-based automated anomaly …
which is exhausting and erroneous, while computer vision-based automated anomaly …
An overview of violence detection techniques: current challenges and future directions
Abstract The Big Video Data generated in today's smart cities has raised concerns from its
purposeful usage perspective, where surveillance cameras, among many others are the …
purposeful usage perspective, where surveillance cameras, among many others are the …
Sequential attention mechanism for weakly supervised video anomaly detection
Surveillance cameras are installed across various sectors of a smart city in order to capture
ongoing events for monitoring purposes. The analysis of these surveillance videos is an …
ongoing events for monitoring purposes. The analysis of these surveillance videos is an …
Toward fast and accurate violence detection for automated video surveillance applications
Surveillance cameras are increasingly being used worldwide due to the proliferation of
digital video capturing, storage, and processing technologies. However, the large volume of …
digital video capturing, storage, and processing technologies. However, the large volume of …
A convolutional neural network-based feature extraction and weighted twin support vector machine algorithm for context-aware human activity recognition
KT Chui, BB Gupta, M Torres-Ruiz, V Arya, W Alhalabi… - Electronics, 2023 - mdpi.com
Human activity recognition (HAR) is crucial to infer the activities of human beings, and to
provide support in various aspects such as monitoring, alerting, and security. Distinct …
provide support in various aspects such as monitoring, alerting, and security. Distinct …
Blockchain and digital twin empowered trustworthy self-healing for edge-AI enabled industrial Internet of things
X Feng, J Wu, Y Wu, J Li, W Yang - Information Sciences, 2023 - Elsevier
The public has regarded Edge-AI enabled Industrial Internet of Things (IIoT) as the crucial
foundation in the intelligent digital factories in Industry 4.0. It can fully catch the massive …
foundation in the intelligent digital factories in Industry 4.0. It can fully catch the massive …
Deep Learning‐Assisted Short‐Term Power Load Forecasting Using Deep Convolutional LSTM and Stacked GRU
Over the decades, a rapid upsurge in electricity demand has been observed due to
overpopulation and technological growth. The optimum production of energy is mandatory to …
overpopulation and technological growth. The optimum production of energy is mandatory to …
Smart collaborative evolvement for virtual group creation in customized industrial IoT
Customized industrial Internet of Things (IoT) has presented more advanced requirements in
strong pertinence, low energy consumption, and simplified design. However, the element …
strong pertinence, low energy consumption, and simplified design. However, the element …