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 …
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 …
Discriminative component analysis enhanced feature fusion of electrical network frequency for digital audio tampering detection
Research in the domain of digital audio tampering detection has advanced significantly with
the use of Electrical Network Frequency (ENF) analysis, presenting notable benefits for …
the use of Electrical Network Frequency (ENF) analysis, presenting notable benefits for …
Yolov5 enhanced learning behavior recognition and analysis in smart classroom with multiple students
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 …
cross-fertilization using computer vision technology has been a popular direction in recent …
Smart contract vulnerability detection for educational blockchain based on graph neural networks
With the development of blockchain technology, more and more attention has been paid to
the intersection of blockchain and education, and various educational evaluation systems …
the intersection of blockchain and education, and various educational evaluation systems …
Photovoltaic panel defect detection based on ghost convolution with BottleneckCSP and tiny target prediction head incorporating YOLOv5
L Li, Z Wang, T Zhang - arXiv preprint arXiv:2303.00886, 2023 - arxiv.org
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 …
Learning behavior recognition in smart classroom with multiple students based on YOLOv5
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 …
cross-fertilization using computer vision technology has been a popular direction in recent …
Implementing Deep Convolutional Neural Networks for QR Code-Based Printed Source Identification
MJ Tsai, YC Lee, TM Chen - Algorithms, 2023 - mdpi.com
QR codes (short for Quick Response codes) were originally developed for use in the
automotive industry to track factory inventories and logistics, but their popularity has …
automotive industry to track factory inventories and logistics, but their popularity has …
DSARSR: Deep Stacked Auto-encoders Enhanced Robust Speaker Recognition
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 …
recognize the identity, determining whether the test speaker belongs to one of the enrolled …
Multi-Scale Deformable Transformers for Student Learning Behavior Detection in Smart Classroom
The integration of Artificial Intelligence into the modern educational system is rapidly
evolving, particularly in monitoring student behavior in classrooms, a task traditionally …
evolving, particularly in monitoring student behavior in classrooms, a task traditionally …