Digital audio tampering detection can be used to verify the authenticity of digital audio.
However, most current methods use standard electronic network frequency (ENF) databases …

The current digital speech deletion and insertion tampering detection methods mainly
employes the extraction of phase and frequency features of the Electrical Network …

The existing source cell-phone recognition method lacks the long-term feature
characterization of the source device, resulting in an inaccurate representation of the source …

Photovoltaic (PV) panel surface-defect detection technology is crucial for the PV industry to
perform smart maintenance. Using computer vision technology to detect PV panel surface …

Abstract The majority of Digital Audio Tampering Detection (DATD) methods, which are
based on Electrical Network Frequency (ENF), predominantly concentrate on the static …

Deep learning-based computer vision technology has grown stronger in recent years, and
cross-fertilization using computer vision technology has been a popular direction in recent …

Speaker recognition is a biometric modality that utilizes the speaker's speech segments to
recognize the identity, determining whether the test speaker belongs to one of the enrolled …

The integration of Artificial Intelligence into the modern educational system is rapidly
evolving, particularly in monitoring student behavior in classrooms, a task traditionally …

The use of deep learning techniques in real-time monitoring can save a lot of manpower in
various scenarios. For example, mask-wearing is an effective measure to prevent COVID-19 …

Knowledge tracing (KT) serves as a primary part of intelligent education systems. Most
current KTs either rely on expert judgments or only exploit a single network structure, which …