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Hanxiang Wang
Hanxiang Wang
Qufu Normal University
Verified email at qfnu.edu.cn
Title
Cited by
Cited by
Year
Sensor-based and vision-based human activity recognition: A comprehensive survey
LM Dang, K Min, H Wang, MJ Piran, CH Lee, H Moon
Pattern Recognition 108, 107561, 2020
4752020
Explainable artificial intelligence: a comprehensive review
D Minh, HX Wang, YF Li, TN Nguyen
Artificial Intelligence Review, 1-66, 2022
3202022
Crop pest recognition in natural scenes using convolutional neural networks
Y Li, H Wang, LM Dang, A Sadeghi-Niaraki, H Moon
Computers and Electronics in Agriculture 169, 105174, 2020
1812020
A deep learning-based hybrid framework for object detection and recognition in autonomous driving
Y Li, H Wang, LM Dang, TN Nguyen, D Han, A Lee, I Jang, H Moon
IEEE Access 8, 194228-194239, 2020
892020
Kyungbok Min, Hanxiang Wang, Md Jalil Piran, Cheol Hee Lee, and Hyeonjoon Moon. Sensor-based and vision-based human activity recognition: A comprehensive survey
LM Dang
Pattern Recognition 108 (107561), 3, 2020
592020
DefectTR: End-to-end defect detection for sewage networks using a transformer
LM Dang, H Wang, Y Li, TN Nguyen, H Moon
Construction and Building Materials 325, 126584, 2022
502022
Automatic tunnel lining crack evaluation and measurement using deep learning
LM Dang, H Wang, Y Li, Y Park, C Oh, TN Nguyen, H Moon
Tunnelling and Underground Space Technology 124, 104472, 2022
402022
A robust instance segmentation framework for underground sewer defect detection
Y Li, H Wang, LM Dang, MJ Piran, H Moon
Measurement 190, 110727, 2022
392022
Deep learning-based sewer defect classification for highly imbalanced dataset
LM Dang, SJ Kyeong, Y Li, H Wang, TN Nguyen, H Moon
Computers & Industrial Engineering 161, 107630, 2021
352021
Pixel-level tunnel crack segmentation using a weakly supervised annotation approach
H Wang, Y Li, LM Dang, S Lee, H Moon
Computers in Industry 133, 103545, 2021
322021
Fusarium Wilt of Radish Detection Using RGB and Near Infrared Images from Unmanned Aerial Vehicles
LM Dang, H Wang, Y Li, K Min, JT Kwak, O Lee, H Park, H Moon
Remote Sensing 12 (17), 2863, 2020
312020
Deep learning-based masonry crack segmentation and real-life crack length measurement
LM Dang, H Wang, Y Li, LQ Nguyen, TN Nguyen, HK Song, H Moon
Construction and Building Materials 359, 129438, 2022
242022
Vision-based defect inspection and condition assessment for sewer pipes: A comprehensive survey
Y Li, H Wang, LM Dang, HK Song, H Moon
Sensors 22 (7), 2722, 2022
242022
Smartphone-based bulky waste classification using convolutional neural networks
H Wang, Y Li, LM Dang, J Ko, D Han, H Moon
Multimedia Tools and Applications 79, 29411-29431, 2020
202020
Robust Korean license plate recognition based on deep neural networks
H Wang, Y Li, LM Dang, H Moon
Sensors 21 (12), 4140, 2021
192021
An efficient attention module for instance segmentation network in pest monitoring
H Wang, Y Li, LM Dang, H Moon
Computers and Electronics in Agriculture 195, 106853, 2022
132022
Lightweight pixel-level semantic segmentation and analysis for sewer defects using deep learning
LM Dang, H Wang, Y Li, LQ Nguyen, TN Nguyen, HK Song, H Moon
Construction and Building Materials 371, 130792, 2023
72023
Attention‐guided multiscale neural network for defect detection in sewer pipelines
Y Li, H Wang, LM Dang, HK Song, H Moon
Computer‐Aided Civil and Infrastructure Engineering 38 (15), 2163-2179, 2023
62023
Deep Learning Based Underground Sewer Defect Classification Using a Modified RegNet
Y Chen, SASM Sharifuzzaman, H Wang, Y Li, LM Dang, HK Song, ...
Computers, Materials & Continua 75 (3), 2023
42023
Object classification for domestic waste based on Convolutional neural networks
J Nam, C Lee, AA Patankar, H Wang, Y Li, H Moon
Proceedings of the Korean Society of Broadcast Engineers Conference, 83-86, 2019
42019
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