Surface defect detection methods for industrial products with imbalanced samples: A review of progress in the 2020s

D Bai, G Li, D Jiang, J Yun, B Tao, G Jiang… - … Applications of Artificial …, 2024 - Elsevier
Industrial products typically lack defects in smart manufacturing systems, which leads to an
extremely imbalanced task of recognizing surface defects. With this imbalanced sample …

[PDF][PDF] Speech recognition utilizing deep learning: A systematic review of the latest developments

D Al-Fraihat, Y Sharrab, F Alzyoud… - Human-centric …, 2024 - researchgate.net
Speech recognition is a natural language processing task that involves the computerized
transcription of spoken language in real time. Numerous studies have been conducted on …

RGBD-SLAM based on object detection with two-stream YOLOv4-MobileNetv3 in autonomous driving

G Li, H Fan, G Jiang, D Jiang, Y Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Autonomous driving has gradually become a research hotspot in recent years. Visual
Simultaneous Localization and Mapping (SLAM) technology can help unmanned vehicles …

Grasping detection of dual manipulators based on Markov decision process with neural network

J Yun, D Jiang, L Huang, B Tao, S Liao, Y Liu, X Liu… - Neural Networks, 2024 - Elsevier
With the development of artificial intelligence, robots are widely used in various fields,
grasping detection has been the focus of intelligent robot research. A dual manipulator …

[HTML][HTML] Multi-scale feature retention and aggregation for colorectal cancer diagnosis using gastrointestinal images

A Haider, M Arsalan, SH Nam, JS Hong… - … Applications of Artificial …, 2023 - Elsevier
Colonoscopy is considered the gold standard for colorectal cancer diagnosis and prognosis.
However, existing methods are less accurate and prone to overlooking lesions during …

Effective dual-feature fusion network for transmission line detection

W Zhou, C Ji, M Fang - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
In recent years, fused infrared and visible-light computer vision methods based on fully
convolutional networks (FCNs) have achieved remarkable results due to their …

[HTML][HTML] MCANet: Hierarchical cross-fusion lightweight transformer based on multi-ConvHead attention for object detection

Z Zhao, K Hao, X Liu, T Zheng, J Xu, S Cui, C He… - Image and Vision …, 2023 - Elsevier
The visual Transformer model based on self-attention has achieved better performance than
convolutional neural networks in object detection tasks. However, existing visual …

[HTML][HTML] UAV-based internet of vehicles: a systematic literature review

A Hemmati, M Zarei, A Souri - Intelligent Systems with Applications, 2023 - Elsevier
Abstract The Internet of Vehicles (IoV) is a network of Internet-enabled intelligent vehicles
outfitted with sensors, customized software, and communication technologies, which is a …

Method of recognizing sleep postures based on air pressure sensor and convolutional neural network: For an air spring mattress

Y Chao, T Liu, LM Shen - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
The present study aimed to develop a sleep postures recognition system based on the
hardness adjustment system for a specific air spring mattress. To the end, an air spring …

Hydrogen leakage diagnosis of fuel cell vehicles based on a dynamic-static recognition approach with dual-channel LeNet network

C Yan, J Li - Fuel, 2023 - Elsevier
The diagnosis of hydrogen leakage has attracted increasing attention, especially in fuel cell
vehicles with high-pressure hydrogen systems within which the chance of deflagration is …