Abstract The utilization of a biometric authentication system (BAS) for reliable automatic human recognition has increased exponentially in recent years over traditional authentication systems. Since the biometric traits are irrevocable, two important issues such as security and privacy still need to be addressed in BAS. Researchers...

Abstract In intelligent video surveillance, anomaly detection is conducted to identify the occurrence of abnormal events by monitoring the video captured by vision sensors, and it has important application value in public safety, industrial production process monitoring, and other fields. However, the study of video anomaly detection...

Abstract The detection of partial discharge (PD) in the field is critically important for the maintenance of electrical power systems. Traditional methods often employ the affine projection algorithm (APA) for denoising PD signals, aiming to retain their fundamental characteristics. However, the conventional APA approach exhibits...

Abstract The growing demand for seamless human–computer interaction and accurate health monitoring has driven interest in device-free human behavior recognition. This paper presents a novel approach for simultaneous human activity recognition and pose estimation, utilizing a skeleton-based methodology that leverages WiFi Channel...

Abstract Deep learning has made significant progress in lane detection across various public datasets, with models, such as PolyLaneNet, being computationally efficient. However, these models have limited spatial generalization capabilities, which ultimately lead to decreased accuracy. To address this issue, we propose a polynomial...

Abstract In recent times, online shopping has become commonly used method for consumers to make purchases and engage in consumption with the rapid advancement of Internet technology. Enhancing user satisfaction is achievable through sentiment analysis (SA) of the enormous user evaluations found on e-commerce platforms. However,...