[HTML][HTML] A comprehensive survey on deep facial expression recognition: challenges, applications, and future guidelines

M Sajjad, FUM Ullah, M Ullah, G Christodoulou… - Alexandria Engineering …, 2023 - Elsevier
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 …

A comprehensive review on vision-based violence detection in surveillance videos

FUM Ullah, MS Obaidat, A Ullah, K Muhammad… - ACM Computing …, 2023 - dl.acm.org
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 …

Intelligent dual stream CNN and echo state network for anomaly detection

W Ullah, T Hussain, ZA Khan, U Haroon… - Knowledge-Based …, 2022 - Elsevier
Traditional video surveillance systems detect abnormal events via human involvement,
which is exhausting and erroneous, while computer vision-based automated anomaly …

Vision transformer and deep sequence learning for human activity recognition in surveillance videos

A Hussain, T Hussain, W Ullah… - Computational …, 2022 - Wiley Online Library
Human Activity Recognition is an active research area with several Convolutional Neural
Network (CNN) based features extraction and classification methods employed for …

An overview of violence detection techniques: current challenges and future directions

N Mumtaz, N Ejaz, S Habib, SM Mohsin… - Artificial intelligence …, 2023 - Springer
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 …

An intelligent correlation learning system for person Re-identification

SU Khan, N Khan, T Hussain, SW Baik - Engineering Applications of …, 2024 - Elsevier
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 …

Deep Learning‐Assisted Short‐Term Power Load Forecasting Using Deep Convolutional LSTM and Stacked GRU

FUM Ullah, A Ullah, N Khan, MY Lee, S Rho… - …, 2022 - Wiley Online Library
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 …

Abnormal activity recognition from surveillance videos using convolutional neural network

S Habib, A Hussain, W Albattah, M Islam, S Khan… - Sensors, 2021 - mdpi.com
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 …

A Hybrid Deep Learning‐Based Network for Photovoltaic Power Forecasting

A Hussain, ZA Khan, T Hussain, FUM Ullah, S Rho… - …, 2022 - Wiley Online Library
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 …

Learning to rank: An intelligent system for person reidentification

SU Khan, IU Haq, N Khan… - … Journal of Intelligent …, 2022 - Wiley Online Library
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 …