An analysis of artificial intelligence techniques in surveillance video anomaly detection: A comprehensive survey

E Şengönül, R Samet, Q Abu Al-Haija, A Alqahtani… - Applied Sciences, 2023 - mdpi.com
Surveillance cameras have recently been utilized to provide physical security services
globally in diverse private and public spaces. The number of cameras has been increasing …

Detection of anomaly in surveillance videos using quantum convolutional neural networks

J Amin, MA Anjum, K Ibrar, M Sharif, S Kadry… - Image and Vision …, 2023 - Elsevier
Anomalous behavior identification is the process of detecting behavior that differs from its
normal. These incidents will vary from violence to war, road crashes to kidnapping, and so …

Integer and fractional-order sliding mode control schemes in wind energy conversion systems: Comprehensive review, comparison, and technical insight

I Sami, S Ullah, L Khan, A Al-Durra, JS Ro - Fractal and Fractional, 2022 - mdpi.com
The technological development in wind energy conversion systems (WECSs) places
emphasis on the injection of wind power into the grid in a smoother and robust way. Sliding …

Deep learning based active learning technique for data annotation and improve the overall performance of classification models

SU Amin, A Hussain, B Kim, S Seo - Expert Systems with Applications, 2023 - Elsevier
Deep learning (DL) models achieved a lot of success due to the availability of labeled
training data. In contrast, labeling a huge amount of data by a human is a time-consuming …

Mannose metabolism inhibition sensitizes acute myeloid leukaemia cells to therapy by driving ferroptotic cell death

K Woodley, LS Dillingh, G Giotopoulos… - Nature …, 2023 - nature.com
Resistance to standard and novel therapies remains the main obstacle to cure in acute
myeloid leukaemia (AML) and is often driven by metabolic adaptations which are …

Spatially aware fusion in 3D convolutional autoencoders for video anomaly detection

A Niaz, SU Amin, S Soomro, H Zia, KN Choi - IEEE Access, 2024 - ieeexplore.ieee.org
Surveillance videos are crucial for crime prevention and public safety, yet the challenge of
defining abnormal events hinders their effectiveness, limiting the applicability of supervised …

[PDF][PDF] CT-NET: A Novel Convolutional Transformer-Based Network for Short-Term Solar Energy Forecasting Using Climatic Information.

M Munsif, M Ullah, U Fath, SU Khan… - … Systems Science & …, 2023 - academia.edu
Photovoltaic (PV) systems are environmentally friendly, generate green energy, and receive
support from policies and organizations. However, weather fluctuations make large-scale PV …

[PDF][PDF] An Efficient and Robust Hand Gesture Recognition System of Sign Language Employing Finetuned Inception-V3 and Efficientnet-B0 Network.

A Hussain, S Ul Amin, M Fayaz, S Seo - Computer Systems Science …, 2023 - academia.edu
Hand Gesture Recognition (HGR) is a promising research area with an extensive range of
applications, such as surgery, video game techniques, and sign language translation, where …

[PDF][PDF] An Efficient Attention-Based Strategy for Anomaly Detection in Surveillance Video.

S Ul Amin, Y Kim, I Sami, S Park… - … Systems Science & …, 2023 - researchgate.net
In the present technological world, surveillance cameras generate an immense amount of
video data from various sources, making its scrutiny tough for computer vision specialists. It …

Impact of artificial intelligence on the global economy and technology advancements

M Abbas Khan, H Khan, MF Omer, I Ullah… - … General Intelligence (AGI …, 2024 - Springer
The profound impact of Artificial Intelligence (AI) on the global economy spans a diverse
spectrum of consequences, with Cognitive Computing emerging as a catalyst for significant …