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 …
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
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 …
estimate learners' current knowledge mastery status and predict their future learning …
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 …
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
In recent years, digital audio tampering detection methods by extracting audio electrical
network frequency (ENF) features have been widely applied. However, most digital audio …
network frequency (ENF) features have been widely applied. However, most digital audio …
Multiple learning features–enhanced knowledge tracing based on learner–resource response channels
Knowledge tracing is a crucial task that involves modeling learners' knowledge levels and
predicting their future learning performance. However, traditional deep knowledge tracing …
predicting their future learning performance. However, traditional deep knowledge tracing …
Enhanced Skin Disease Diagnosis through Convolutional Neural Networks and Data Augmentation Techniques
Skin diseases are among the most common and widespread diseases affecting people
around the world. Global warming and climate change are the two main factors leading to …
around the world. Global warming and climate change are the two main factors leading to …
Source acquisition device identification from recorded audio based on spatiotemporal representation learning with multi-attention mechanisms
Source acquisition device identification from recorded audio aims to identify the source
recording device by analyzing the intrinsic characteristics of audio, which is a challenging …
recording device by analyzing the intrinsic characteristics of audio, which is a challenging …
Multi-channel representation learning enhanced unfolding multi-scale compressed sensing network for high quality image reconstruction
Deep Unfolding Networks (DUNs) serve as a predominant approach for Compressed
Sensing (CS) reconstruction algorithms by harnessing optimization. However, a notable …
Sensing (CS) reconstruction algorithms by harnessing optimization. However, a notable …
[HTML][HTML] Deep learning in pediatric neuroimaging
The integration of deep learning techniques in pediatric neuroimaging has shown significant
promise in advancing various aspects of the field. This paper provides a comprehensive …
promise in advancing various aspects of the field. This paper provides a comprehensive …
Knowledge relation rank enhanced heterogeneous learning interaction modeling for neural graph forgetting knowledge tracing
L Li, Z Wang - Plos one, 2023 - journals.plos.org
Knowledge tracing models have gained prominence in educational data mining, with
applications like the Self-Attention Knowledge Tracing model, which captures the exercise …
applications like the Self-Attention Knowledge Tracing model, which captures the exercise …