[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 …
Vision transformer and deep sequence learning for human activity recognition in surveillance videos
Human Activity Recognition is an active research area with several Convolutional Neural
Network (CNN) based features extraction and classification methods employed for …
Network (CNN) based features extraction and classification methods employed for …
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 …
An intelligent correlation learning system for person Re-identification
Person re-identification (PRe-id) aims to retrieve a target person's images captured across
multiple/single non-overlapping cameras. To this end, significant techniques have been …
multiple/single non-overlapping cameras. To this end, significant techniques have been …
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 …
Abnormal activity recognition from surveillance videos using convolutional neural network
Background and motivation: Every year, millions of Muslims worldwide come to Mecca to
perform the Hajj. In order to maintain the security of the pilgrims, the Saudi government has …
perform the Hajj. In order to maintain the security of the pilgrims, the Saudi government has …
A Hybrid Deep Learning‐Based Network for Photovoltaic Power Forecasting
For efficient energy distribution, microgrids (MG) provide significant assistance to main grids
and act as a bridge between the power generation and consumption. Renewable energy …
and act as a bridge between the power generation and consumption. Renewable energy …
Learning to rank: An intelligent system for person reidentification
Person reidentification (P‐Reid) is an emerging research domain in the field of information
retrieval that has gained exponential growth due to its wide range of applications in …
retrieval that has gained exponential growth due to its wide range of applications in …