Dang Lien Minh

© 2024. All rights reserved.

Publications

Disclaimer Notice: Please note that all the papers are archived for personal use only. And you are legally forbidden to reproduce or distribute them without explicit permission of the copyright holders.

Patents

KR Patent: Hyeonjoon Moon, Kyungbok Min, Junyoung Nam, Hanxiang Wang, L. Minh Dang Deep learning-based sewerage defect detection method and apparatus. 10-2023-0023263. Feb 17, 2023. (DOI: 10.8080/1020210105228)

SCI/SCIE/IF Journal Articles

  1. L. Minh Dang, Sufyan Danish, Asma Khan, Nur Alam, Muhammad Fayaz, Dinh Khuong Nguyen, Hyoung-Kyu Song and Hyeonjoon Moon, An Efficient Zero-labeling Segmentation Approach for Pest Monitoring on Smartphone-based Images, European Journal of Agronomy, 01, September 2024. [IF: 4.5, Q1]
  2. Lilia Tightiz, L. Minh Dang, Sanjeevikumar Padmanaban, and Kyeon Hur, Metaverse-driven smart grid architecture, Energy Reports, 20, August 2024. [IF: 5.2, Q2]
  3. Le Quan Nguyen, Jinwoo Choi, L. Minh Dang, and Hyeonjoon Moon, Background debiased class incremental learning for video action recognition, Image and Vision Computing, 06, October 2024. [IF: 4.2, Q1]
  4. Muhammad Fayaz, L. Minh Dang, and Hyeonjoon Moon, Enhancing Land Cover Classification via Deep Ensemble Network, Knowledge-based system, 06, October 2024. [IF: 7.2, Q1]
  5. Arailym Dosset, L. Minh Dang, Faisal Alharbi, Shabana Habib, Nur Alam, Ngoc Dung Bui, Han Yong Park and Hyeonjoon Moon, CDDNet: Cassava Disease Detection Using Lightweight Modified Soft Attention Network, Pest Management Science, 06, October 2024. [IF: 4.1, Q1]
  6. Nur Alam, A S M Sharifuzzaman Sagar, Wenqi Zhang, Han Yong Park, and Hyeonjoon Moon, Deep Learning Based Radish and Leaf Segmentation for Phenotype Trait Measurement, Signal, Image and Video Processing, 06, October 2024. [IF: 2.0, Q3]
  7. Hanxiang Wang, Tri-Hai Nguyen, Tan N. Nguyen, L. Minh Dang, PD-TR: End-to-end Plant Diseases Detection using a Transformer, Computers and Electronics in Agriculture, 01, June 2024. [IF: 8.3, Q1]
  8. Tri-Hai Nguyen, L. Minh Dang, Automated marine litter investigation for underwater images using a zero-shot pipeline, Environmental Modelling & Software, 08, May 2024. [IF: 4.9, Q1]
  9. L. Minh Dang, Le Quan Nguyen, Junyoung Nam, Tan N Nguyen, Sujin Lee, Hyoung-Kyu Song, Hyeonjoon Moon, Fifth generation district heating and cooling: A comprehensive survey, Energy Reports, 06, January 2024. [IF: 5.2, Q2]
  10. A. S. M. Sharifuzzaman Sagar, Jawad Tanveer, Yu Chen, L. Minh Dang, Amir Haider, Hyoung-Kyu Song, Hyeonjoon Moon, BayesNet: Enhancing UAV-Based Remote Sensing Scene Understanding with Quantifiable Uncertainties, Remote Sensing , 23, February 2024. [IF: 5.0, Q1]
  11. Wenqi Zhang, L. Minh Dang, Le Quan Nguyen, Nur Alam, Ngoc Dung Bui, Han Yong Park, Hyeonjoon Moon, Adapting the Segment Anything Model for Plant Recognition and Automated Phenotypic Parameter Measurement, Horticulturae, 23, April 2024. [IF: 3.1, Q1]
  12. Asma Khan, Sharaf J. Malebary, L. Minh Dang, Faisal Binzagr, Hyoung-Kyu Song, Hyeonjoon Moon, AI-Enabled Crop Management Framework for Pest Detection Using Visual Sensor Data, Plants, 27, January 2024. [IF: 4.5, Q1]
  13. L. Minh Dang, Muhammad Nadeem, Tan N.Nguyen, Han Yong Park, O New Lee, Hyoung-Kyu Song, and Hyeonjoon Moon, VPBR: an Automatic and Low Cost Vision-based Biophysical Properties Recognition Pipeline for Pumpkin, Plants, 13, July 2023. [IF: 4.5, Q1]
  14. Tri-Hai Nguyen, Luong Vuong Nguyen, L. Minh Dang, Vinh Truong Hoang, Laihyuk Park, TD3-Based Optimization Framework for RSMA-Enhanced UAV-Aided Downlink Communications in Remote Areas, Remote Sensing, 1, November 2023. [IF: 5, Q1]
  15. Lilia Tightiz, L. Minh Dang, Joon Yoo, Novel deep deterministic policy gradient technique for automated micro-grid energy management in rural and islanded areas, Alexandria Engineering Journal, 1, November 2023. [IF: 6.8, Q1]
  16. Yanfen Li, Hanxiang Wang, L. Minh Dang, Hyoung-Kyu Song, and Hyeonjoon Moon, ORCNN-X: Attention-Driven Multiscale Network for Detecting Small Objects in Complex Aerial Scenes, Remote sensing, 10, July 2023. [IF: 5, Q1]
  17. L. Minh Dang, Kyungbok Min, Tan N.Nguyen, Han Yong Park, O New Lee, Hyoung-Kyu Song, and Hyeonjoon Moon, Vision-based White Radish Phenotypic Trait Measurement with Smartphone Imagery, Agronomy, 15, June 2023. [IF: 3.7, Q1]
  18. L. Minh Dang, Jihye Shin, Yanfen Li, Lilia Tightiz, Tan N. Nguyen, Hyoung-Kyu Song, and Hyeonjoon Moon, Toward Explainable Heat Load Patterns Prediction for District Heating, Scientific Reports, May 2023. [IF: 4.6, Q2]
  19. L. Minh Dang, Hanxiang Wang, Yanfen Li, Le Quan Nguyen, Tan N. Nguyen, Hyoung-Kyu Song, and Hyeonjoon Moon, Lightweight pixel-level semantic segmentation and analysis for sewer defects using deep learning, Construction and Building Materials, 5, February 2023. [IF: 7.4, Q1]
  20. Yanfen Li, Hanxiang Wang, L. Minh Dang, Hyoung-Kyu Song, and Hyeonjoon Moon, Attention-guided multiscale neural network for defect detection in sewer pipelines, Computer-Aided Civil and Infrastructure Engineering, February 2023. [IF: 9.6, Q1]
  21. L. Minh Dang, Hanxiang Wang, Yanfen Li, Le Quan Nguyen, Tan N. Nguyen, Hyoung-Kyu Song, and Hyeonjoon Moon, Deep learning-based masonry crack segmentation and real-life crack length measurement, Construction and Building Materials, 5, October 2022. [IF: 7.4, Q1]
  22. L. Minh Dang, Sujin Lee, Yanfen Li, Chanmi Oh, Tan N. Nguyen, Hyoung-Kyu Song, and Hyeonjoon Moon, Daily and seasonal heat usage patterns analysis in heat networks, Scientific Reports, 12, June 2022. [IF: 4.6, Q2]
  23. Le Quan Nguyen, Yanfen Li, Hanxiang Wang, L. Minh Dang, Hyoung-Kyu Song, and Hyeonjoon Moon, Facial Landmark Detection with Learnable Connectivity Graph Convolutional Network, IEEE Access, 18, Agust 2022. [IF: 3.9, Q2]
  24. Toan Khac Nguyen, L. Minh Dang, Hyoung-Kyu Song, Hyeonjoon Moon, and Jin Hee Lim, Wild Chrysanthemums Core Collection: Studies on Leaf Identification, Horticulturae, 8, September 2022. [IF: 3.1, Q1]
  25. L. Minh Dang, Hanxiang Wang, Yanfen Li, Yesul Park, Chanmi Oh, Tan N.Nguyen, and Hyeonjoon Moon, Automatic tunnel lining crack evaluation and measurement using deep learning, Tunnelling and Underground Space Technology, 124, June 2022. [IF: 6.9, Q1]
  26. L. Minh Dang, Hanxiang Wang, Yanfen Li, Tan N.Nguyen, and Hyeonjoon Moon, DefectTR: End-to-end Defect Detection for Sewage Networks using a Transformer, Construction and Building Materials, 325, February 2022. [IF: 7.4, Q1]
  27. Saravanan, M., J. Jayanthi, U. Sakthi, R. Rajkumar, Gyanendra Prasad Joshi, L. Minh Dang, and Hyeonjoon Moon, Intelligent Satin Bowerbird Optimizer Based Compression Technique for Remote Sensing Images, Computers, Materials and Continua, 72, March 2022. [IF: 3.860, Q2]
  28. Sultan Ahmad, Shakir Khan, Mohamed Fahad AlAjmi, Ashit Kumar Dutta, L. Minh Dang, and Hyeonjoon Moon, Deep Learning Enabled Disease Diagnosis for Secure Internet of Medical Things, Computers, Materials and Continua, 73, May 2022. [IF: 3.1, Q3]
  29. Tan N. Nguyen, Jaehong Lee, Liem Dinh-Tien, and L. Minh Dang, Deep learned one-iteration nonlinear solver for solid mechanics, International Journal for Numerical Methods in Engineering, 123, March 2022. [IF: 2.9, Q2]
  30. Tan N. Nguyen, L. Minh Dang, Jaehong Lee, Pho Van Nguyen Load-Carrying Capacity of Ultra-Thin Shells with and without CNTs Reinforcement, Mathematics, 10, April 2022. [IF: 2.4, Q1]
  31. Hanxiang Wang, Yanfen Li, L. Minh Dang, and Hyeonjoon Moon, An Efficient Attention Module for Instance Segmentation Network in Pest Monitoring, Computers and Electronics in Agriculture, 195, March 2022. [IF: 8.3, Q1]
  32. Yanfen Li, Hanxiang Wang, L. Minh Dang, Md. Jalil Piran, and Hyeonjoon Moon, A robust instance segmentation framework for underground sewer defect detection, Measurement, 190, February 2022. [IF: 5.6, Q1]
  33. Chanmi Oh, L. Minh Dang, Dongil Han and Hyeonjoon Moon, Robust Sewer Crack Detection with Text Analysis based on Deep Learning, IEEE Access, April 2022. [IF: 3.9, Q2]
  34. Yanfen Li, Hanxiang Wang, L. Minh Dang, Hyoung-Kyu Song, and Hyeonjoon Moon, Vision-Based Defect Inspection and Condition Assessment for Sewer Pipes: A Comprehensive Survey, Sensors, 22, April 2022. [IF: 3.9, Q2]
  35. L. Minh Dang, SeonJae Kyeong, Hanxiang Wang, Yanfen Li, Tan N.Nguyen, and Hyeonjoon Moon, Deep Learning-based Sewer Defect Classification for Highly Imbalanced Dataset, Computers & Industrial Engineering, 107630, August 2021. [IF: 7.9, Q1]
  36. Kyungbok Min, L. Minh Dang, and Hyeonjoon Moon, Deep Learning-Based Short Story Generation for an Image Using the Encoder-Decoder Structure, IEEE Access, 9, Agust 2021. [IF: 3.9, Q2]
  37. Hanxiang Wang, Yanfen Li, L. Minh Dang, Sujin Lee, and Hyeonjoon Moon, Pixel-level tunnel crack segmentation using a weakly supervised annotation approach, Computers in Industry, 133, December 2021. [IF: 10, Q1]
  38. Yesul Park, L. Minh Dang, Sujin Lee, Dongil Han, and Hyeonjoon Moon, Multiple Object Tracking in Deep Learning Approaches: A Survey, Electronics, 10, October 2021. [IF: 2.9, Q2]
  39. Hanxiang Wang, Yanfen Li, L. Minh Dang, and Hyeonjoon Moon, Robust Korean License Plate Recognition Based on Deep Neural Networks, Sensors, Volume 21, 4140, December 2021. [IF: 3.9, Q2]
  40. L. Minh Dang, Kyungbok Min, Hanxiang Wang, Yanfen Li, and Hyeonjoon Moon, Fusarium Wilt of Radish Detection using RGB and Near Infrared Images from Unmanned Aerial Vehicles, Remote Sensing, Volume 108, 107561, December 2020. [IF: 5, Q1]
  41. L. Minh Dang, Syed Ibrahim Hassan, Im Suhyeon, Arun kumar Sangaiah, Irfan Mehmood, and Hyeonjoon Moon, UAV based wilt detection system via convolutional neural networks, Sustainable Computing: Informatics and Systems, Volume 28, 100250, 2020 . [IF: 4.5, Q1]
  42. Yanfen Li, Hanxiang Wang, L. Minh Dang, and Hyeonjoon Moon, A Deep Learning-Based Hybrid Framework for Object Detection and Recognition in Autonomous Driving, IEEE Access, Volume 8, 194228-194239, 2020. [IF: 3.9, Q2]
  43. Hanxiang Wang, Yanfen Li, L. Minh Dang, Jaesung Ko, Dongil Han, Hyeonjoon Moon, Smartphone-based bulky waste classification using convolutional neural networks, Multimedia Tools and Applications, August 2020. [IF: 3.6, Q2]
  44. L. Minh Dang, Kyungbok Min, Hanxiang Wang, Md. Jalil Piran, Cheol Hee Lee, and Hyeonjoon Moon, Sensor-based and vision-based human activity recognition: A comprehensive survey, Pattern Recognition, Volume 108, 107561, December 2020. [IF: 8, Q1]
  45. L. Minh Dang, Sujin Lee, Dongil Han, Kyungbok Min, and Hyeonjoon Moon, Tampered and Computer-Generated Face Images Identification Based on Deep Learning, Applied Sciences, Volume 10, Issue 2, January 2020. [IF: 2.7, Q2]
  46. Yanfen Li, Hanxiang Wang, L. Minh Dang, Hyeonjoon Moon, Crop pest recognition in natural scenes using convolutional neural networks, Computers and Electronics in Agriculture, Volume 169, February 2020. [IF: 8.3, Q1]
  47. L. Minh Dang, Md. Jalil Piran, Dongil Han, Kyungbok Min, and Hyeonjoon Moon, A Survey on Internet of Things and Cloud Computing for Healthcare, Electronics, Volume 8, Issue 7, July 2019. [IF: 2.9, Q2]
  48. L. Minh Dang, Syed Ibrahim Hassan, Suhyeon Im, Hyeonjoon Moon, Face Image Manipulation Detection based on a Convolutional Neural Network, Expert Systems With Applications, Volume 129, 1 September 2019. [IF: 8.5, Q1]
  49. Syed Ibrahim Hassan, L. Minh Dang, Suhyeon Im, Hyeonjoon Moon, Underground sewer pipe condition assessment based on convolutional neural networks, Automation in Construction, Volume 106, October 2019. [IF: 10.03, Q1]
  50. L. Minh Dang, Syed Ibrahim Hassan, Suhyeon Im, Sujin Lee, Hyeonjoon Moon, Deep Learning Based Computer Generated Face Identification Using Convolutional Neural Network, Applied Sciences, Volume 8, December 2018. [IF: 2.7, Q2]
  51. L. Minh Dang, Syed Ibrahim Hassan, Suhyeon Im, Irfan Mehmood, Hyeonjoon Moon, Utilizing text recognition for the defects extraction in sewers CCTV inspection videos, Computers in Industry, Volume 99, Pages 96-109, September 2018. [IF: 10, Q1]
  52. L. Minh Dang, Abolghasem Sadeghi-Niaraki, Huy D. Huynh, Kyungbok Min, Hyeonjoon Moon, Deep Learning Approach for Short-Term Stock Trends Prediction based on Two-stream Gated Recurrent Unit Network, IEEE Access, Volume 6, September 2018. [IF: 3.9, Q2]
  53. Jin Gwan Ha, Hyeonjoon Moon, Jin Tae Kwak, Syed Ibrahim Hassan, L. Minh Dang, O New Lee, Han Yong Park, Deep convolutional neural network for classifying Fusarium wilt of radish from unmanned aerial vehicles, J. of Applied Remote Sensing, Volume 11, 042621, December 2017. [IF: 1.7, Q4]

Peer-Reviewed Conference Proceedings

  1. Yanfen Li, Hanxiang Wang, L. Minh Dang, Khawar Islam, Hae Kwang Kim Intra CTU depth decision for HEVC by using neural networks, In International Workshop on Advanced Imaging Technology (IWAIT), 2021, 1176630. (Online).

  2. Khawar Islam, L. Minh Dang, Sujin Lee, Hyeonjoon Moon Image Compression With Recurrent Neural Network and Generalized Divisive Normalization, In IComputer Vision and Pattern Recognition (CVPR) Workshops (CVPRW), 2021, (pp. 1875-1879). (Online).

  3. Hanxiang Wang, Yanfen Li, L. Minh Dang, Hae Kwang Kim HEVC intra prediction mode classification by deep learning, In International Workshop on Advanced Imaging Technology (IWAIT), 2020, 115151D. (Yogyakarta, Indonesia).

  4. Huy D Huynh, Minh Dang, and Duc Duong, A New Model for Stock Price Movements Prediction Using Deep Neural Network, In Eighth International Symposium on Information and Communication Technology (SoICT), 2017, (pp. 57-62). (NhaTrang, VietNam).

  5. Minh Dang, and Duc Duong, Improvement methods for stock market prediction using financial news articles, In 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS), 2016, (pp. 125-130). (DaNang, VietNam).

  6. Duc Duong, and Minh Dang, Stock Market Prediction using Financial News Articles on Ho Chi Minh Stock Exchange, In 10th International Conference on Ubiquitous Information Management and Communication (IMCOM), 2016, (Article No. 71 ). (DaNang, VietNam).