The discovery of several machine learning and deep learning techniques has paved the
way to extend the reach of humans in various real-world applications. Classical machine …

Anomaly detection in video surveillance is a highly developed subject that is attracting
increased attention from the research community. There is great demand for intelligent …

In this competitive world, the supervision and monitoring of human resources are primary
and necessary tasks to drive context-aware applications. Advancement in sensor and …

Action recognition (AR) has many applications, including surveillance, health/disabilities
care, man‐machine interactions, video‐content‐based monitoring, and activity recognition …

Spam emails have become more prevalent, necessitating the development of more effective
and reliable anti-spam filters. Internet users face security threats, and youngsters are …

Financial investigations in the realm of fraud detection demand rigorous data analysis to
identify anomalies and inform decision-making. This paper demonstrates the importance of …

Backlit image enhancement is a crucial task in improving the quality and visibility of the
underexposed regions in an image caused by the difference in illumination between the …

Anomaly detection of concrete dam from deformation monitoring data is significant for dam
safety evaluation. Existing anomaly detection models face challenges in identifying minor …

Detecting abnormal human behaviors in surveillance videos is crucial for various domains,
including security and public safety. Many successful detection techniques based on deep …

In videos, anomaly detection is challenging due to its diverse nature in different application
domains. Reconstruction and prediction-based methods have been widely employed to …