Gbh-yolov5: Ghost convolution with bottleneckcsp and tiny target prediction head incorporating yolov5 for pv panel defect detection

L Li, Z Wang, T Zhang - Electronics, 2023 - mdpi.com
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 …

A unified interpretable intelligent learning diagnosis framework for learning performance prediction in intelligent tutoring systems

Z Wang, W Yan, C Zeng, Y Tian… - International Journal of …, 2023 - Wiley Online Library
Intelligent learning diagnosis is a critical engine of intelligent tutoring systems, which aims to
estimate learners' current knowledge mastery status and predict their future learning …

Deep knowledge tracing based on spatial and temporal representation learning for learning performance prediction

L Lyu, Z Wang, H Yun, Z Yang, Y Li - Applied Sciences, 2022 - mdpi.com
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 …

Shallow and deep feature fusion for digital audio tampering detection

Z Wang, Y Yang, C Zeng, S Kong, S Feng… - EURASIP Journal on …, 2022 - Springer
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 …

Calibrated q-matrix-enhanced deep knowledge tracing with relational attention mechanism

L Li, Z Wang - Applied Sciences, 2023 - mdpi.com
With the development of online educational platforms, numerous research works have
focused on the knowledge tracing task, which relates to the problem of diagnosing the …

Digital audio tampering detection based on deep temporal–spatial features of electrical network frequency

C Zeng, S Kong, Z Wang, K Li, Y Zhao - Information, 2023 - mdpi.com
In recent years, digital audio tampering detection methods by extracting audio electrical
network frequency (ENF) features have been widely applied. However, most digital audio …

An end-to-end transfer learning framework of source recording device identification for audio sustainable security

Z Wang, J Zhan, G Zhang, D Ouyang, H Guo - Sustainability, 2023 - mdpi.com
Source recording device identification poses a significant challenge in the field of Audio
Sustainable Security (ASS). Most existing studies on end-to-end identification of digital …

Squeeze-and-excitation self-attention mechanism enhanced digital audio source recognition based on transfer learning

C Zeng, Y Zhao, Z Wang, K Li, X Wan, M Liu - Circuits, Systems, and …, 2024 - Springer
Recent advances in digital audio source recognition, particularly within judicial forensics
and intellectual property rights domains, have been significantly propelled by deep learning …

Multiple learning features–enhanced knowledge tracing based on learner–resource response channels

Z Wang, Y Hou, C Zeng, S Zhang, R Ye - Sustainability, 2023 - mdpi.com
Knowledge tracing is a crucial task that involves modeling learners' knowledge levels and
predicting their future learning performance. However, traditional deep knowledge tracing …

Audio tampering forensics based on representation learning of enf phase sequence

C Zeng, Y Yang, Z Wang, S Kong… - International Journal of …, 2022 - igi-global.com
This paper proposes an audio tampering detection method based on the ENF phase and BI-
LSTM network from the perspective of temporal feature representation learning. First, the …