Many surveillance cameras are mounted in sparse and crowded indoor and outdoor areas
to monitor and detect various patterns of human behaviors and anomalies in the public and …

Finance sector loss can be minimized by reducing the number of defaulters who often miss
payments during debt collection. Most research focused on the credit risk analysis before …

We introduce a novel method for movie genre classification, capitalizing on a diverse set of
readily accessible pretrained models. These models extract high-level features related to …

Human activity recognition (HAR) is one of the most important segments of technology
advancement in applications of smart devices, healthcare systems & fitness. HAR uses …

Recent advancements in construction equipment activity recognition are increasingly
leveraging multi-sensor signals, indicating a promising future trend. However, existing …

In the industrial processes, the drift in operation conditions would cause the discrepancy of
data distribution. In this study, an unsupervised transfer autoencoder model based on …

Transfer learning is extensively utilized for automatically recognizing and filtering out empty
camera trap images that lack animal presence. Current research that uses transfer learning …

Increasing use of motion sensors in wearable and mobile devices has fuelled the
development of new computational models to detect and monitor the context of the people …

Addressing the issue of low recognition accuracy in human motion detection when relying
on a single feature, a novel approach integrating Frequency Modulated Continuous Wave …

In this digital age, 3D data interpretation has emerged as a significant research area in
which videos are the most extensively utilized electronic medium for data transfer. The …