New era of artificial intelligence in education: Towards a sustainable multifaceted revolution

F Kamalov, D Santandreu Calonge, I Gurrib - Sustainability, 2023 - mdpi.com
The recent high performance of ChatGPT on several standardized academic tests has thrust
the topic of artificial intelligence (AI) into the mainstream conversation about the future of …

An efficient convolutional neural network for detecting the crime of stealing in videos

N Waddenkery, S Soma - Entertainment Computing, 2024 - Elsevier
In the current age of technological progress, surveillance cameras are extensively placed in
densely populated areas to encourage public safety. However, detecting stealing activities …

[PDF][PDF] 'Loitering based human crime detection in video surveillance using Beluga whale Adam dingo optimizer and deep convolutional neural network

N Waddenkery, S Soma - Int. Arab J. Inf. Technol, 2024 - iajit.org
Video Surveillance (VS) systems play a crucial role in maintaining security in public spaces,
commercial establishments and residential areas. Detecting and preventing human-related …

[HTML][HTML] Multimodal video analysis for crowd anomaly detection using open access tourism cameras

A Dionis-Ros, J Vila-Francés, R Magdalena-Benedito… - Applied Sciences, 2024 - mdpi.com
In this article, we propose the detection of crowd anomalies through the extraction of
information in the form of time series in video format using a multimodal approach. Through …

Exploring Pose-Based Anomaly Detection for Retail Security: A Real-World Shoplifting Dataset and Benchmark

N Rashvand, GA Noghre, AD Pazho, S Yao… - arxiv preprint arxiv …, 2025 - arxiv.org
Shoplifting poses a significant challenge for retailers, resulting in billions of dollars in annual
losses. Traditional security measures often fall short, highlighting the need for intelligent …

Anomaly Detection in Spacecraft Telemetry: Forecasting vs. Classification

D Lakey, T Schlippe - 2024 IEEE Space Computing …, 2024 - ieeexplore.ieee.org
Anomaly detection in spacecraft telemetry is critical for the success and safety of space
missions. Traditional methods often rely on forecasting and threshold techniques to identify …

Comprehensive analysis of machine learning models for predicting concrete compressive strength

S Kamolov - Annals of Mathematics and Computer Science, 2024 - annalsmcs.org
Predicting the compressive strength of concrete provides several benefits including insights
into its durability, potential lifespan, and its suitability for specific construction projects …

Enhanced Abnormal Activity Detection: Utilizing YOLOv8 and Deep SORT with TSAI and LSTM Classifiers

R Sanghvi, D Desai, A Safaei - 2024 IEEE Canadian …, 2024 - ieeexplore.ieee.org
Video analysis has undergone a radical transformation thanks to the quick development of
deep learning and computer vision techniques, especially in the area of anomalous activity …

[PDF][PDF] Residual Attention based Long-Short Term Memory with Self Gated Rectified Linear Unit for Anomalous Behavior Detection.

K Kalla, JS Gogulamanda - International Journal of Intelligent …, 2024 - researchgate.net
The detection of anomalous behavior in video surveillance is a focus of present research
which has huge value and extensive application probabilities. Due to the difficulty of human …

Development of a Computationally Efficient CNN-Based Deep Learning Model for Anomaly Detection in Retail Surveillance

L Ravichandran, F Riztha… - 2024 8th SLAAI …, 2024 - ieeexplore.ieee.org
The retail industry experiences significant financial losses annually due to inventory
shrinkage caused by shoplifting. Resource constrained retail environments face significant …