A Survey on Internet of Things and Cloud Computing for Healthcare LM Dang, M Piran, D Han, K Min, H Moon Electronics, 2019 | 615 | 2019 |
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 | 537* | 2020 |
Explainable artificial intelligence: a comprehensive review D Minh, HX Wang, YF Li, TN Nguyen Artificial Intelligence Review, 1-66, 2022 | 360 | 2022 |
Deep learning approach for short-term stock trends prediction based on two-stream gated recurrent unit network DL Minh, A Sadeghi-Niaraki, HD Huy, K Min, H Moon Ieee Access 6, 55392-55404, 2018 | 269 | 2018 |
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 | 188 | 2020 |
Underground sewer pipe condition assessment based on convolutional neural networks SI Hassan, LM Dang, I Mehmood, S Im, C Choi, J Kang, YS Park, H Moon Automation in Construction 106, 102849, 2019 | 138 | 2019 |
Deep convolutional neural network for classifying Fusarium wilt of radish from unmanned aerial vehicles JG Ha, H Moon, JT Kwak, SI Hassan, M Dang, ON Lee, HY Park Journal of Applied Remote Sensing 11 (4), 042621-042621, 2017 | 118 | 2017 |
A new model for stock price movements prediction using deep neural network HD Huynh, LM Dang, D Duong Proceedings of the 8th International Symposium on Information and …, 2017 | 112 | 2017 |
Face image manipulation detection based on a convolutional neural network LM Dang, SI Hassan, S Im, H Moon Expert Systems with Applications 129, 156-168, 2019 | 104 | 2019 |
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 | 96 | 2020 |
UAV based wilt detection system via convolutional neural networks LM Dang, SI Hassan, I Suhyeon, A kumar Sangaiah, I Mehmood, S Rho, ... Sustainable Computing: Informatics and Systems 28, 100250, 2020 | 69 | 2020 |
Deep learning based computer generated face identification using convolutional neural network LM Dang, SI Hassan, S Im, J Lee, S Lee, H Moon Applied Sciences 8 (12), 2610, 2018 | 61 | 2018 |
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 | 56 | 2022 |
Utilizing text recognition for the defects extraction in sewers CCTV inspection videos LM Dang, SI Hassan, S Im, I Mehmood, H Moon Computers in Industry 99, 96-109, 2018 | 50 | 2018 |
Improvement methods for stock market prediction using financial news articles M Dang, D Duong 2016 3rd National foundation for science and technology development …, 2016 | 45 | 2016 |
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 | 44 | 2022 |
A robust instance segmentation framework for underground sewer defect detection Y Li, H Wang, LM Dang, MJ Piran, H Moon Measurement 190, 110727, 2022 | 40 | 2022 |
Multiple object tracking in deep learning approaches: A survey Y Park, LM Dang, S Lee, D Han, H Moon Electronics 10 (19), 2406, 2021 | 37 | 2021 |
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 | 35 | 2021 |
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 | 33 | 2021 |