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2020 – today
- 2024
[j14]Dat Ngo, Bongsoon Kang:
A novel pipelined architecture of entropy filter. J. Real Time Image Process. 21(4): 118 (2024)- [j13]Siyeon Han, Dat Ngo
, Yeonggyu Choi, Bongsoon Kang:
Autonomous Single-Image Dehazing: Enhancing Local Texture with Haze Density-Aware Image Blending. Remote. Sens. 16(19): 3641 (2024) - [j12]Dat Ngo, Bongsoon Kang:
A Symmetric Multiprocessor System-on-a-Chip-Based Solution for Real-Time Image Dehazing. Symmetry 16(6): 653 (2024) - [j11]Dat Ngo, Siyeon Han, Bongsoon Kang:
A Unified Hardware Design for Multiplication, Division, and Square Roots Using Binary Logarithms. Symmetry 16(9): 1138 (2024) - [i15]Tin Nguyen, Lam Pham, Phat Lam, Dat Ngo, Hieu Tang, Alexander Schindler:
The Impact of Frequency Bands on Acoustic Anomaly Detection of Machines using Deep Learning Based Model. CoRR abs/2403.00379 (2024) - 2023
- [c14]Dat Ngo, Lam Pham, Huy Phan, Minh Tran, Delaram Jarchi:
A Deep Learning Architecture with Spatio-Temporal Focusing for Detecting Respiratory Anomalies. BioCAS 2023: 1-5 - [c13]Lam Pham, Trang Le, Cam Le, Dat Ngo, Axel Weissenfeld, Alexander Schindler:
Deep Learning Based Multimodal with Two-phase Training Strategy for Daily Life Video Classification. CBMI 2023: 238-242 - [c12]Lam Pham, Cam Le, Dat Ngo, Anh Nguyen, Jasmin Lampert, Alexander Schindler, Ian McLoughlin:
A Light-Weight Deep Learning Model for Remote Sensing Image Classification. ISPA 2023: 1-6 - [c11]Lam Pham, Tin Nguyen, Phat Lam, Dat Ngo, Anahid N. Jalali, Alexander Schindler:
Light-Weight Deep Learning Models for Acoustic Scene Classification Using Teacher-Student Scheme and Multiple Spectrograms. IS2 2023: 1-8 - [c10]Dat Ngo, Lam Pham, Huy Phan, Minh Tran, Delaram Jarchi, Sefki Kolozali:
An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies. MMSP 2023: 1-6 - [i14]Lam Pham, Cam Le, Dat Ngo, Anh Nguyen, Jasmin Lampert, Alexander Schindler, Ian McLoughlin:
A Light-weight Deep Learning Model for Remote Sensing Image Classification. CoRR abs/2302.13028 (2023) - [i13]Dat Ngo, Lam Pham, Huy Phan, Minh Tran, Delaram Jarchi, Sefki Kolozali:
An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies. CoRR abs/2303.04104 (2023) - [i12]Lam Pham, Trang Le, Cam Le, Dat Ngo, Axel Weissenfeld, Alexander Schindler:
Deep Learning Based Multimodal with Two-phase Training Strategy for Daily Life Video Classification. CoRR abs/2305.01476 (2023) - [i11]Lam Pham, Dat Ngo, Cam Le, Anahid N. Jalali, Alexander Schindler:
Low-complexity deep learning frameworks for acoustic scene classification using teacher-student scheme and multiple spectrograms. CoRR abs/2305.09463 (2023) - [i10]Dat Ngo, Lam Pham, Huy Phan, Minh Tran, Delaram Jarchi:
A Deep Learning Architecture with Spatio-Temporal Focusing for Detecting Respiratory Anomalies. CoRR abs/2306.14929 (2023) - 2022
- [j10]Dat Ngo, Gidong Lee, Bongsoon Kang:
Singe Image Dehazing With Unsharp Masking and Color Gamut Expansion. IEEE Access 10: 102462-102474 (2022) - [j9]Dat Ngo, Lam Pham, Anh Nguyen, Tien Ly, Khoa Pham, Thanh Ngo:
Sound Context Classification based on Joint Learning Model and Multi-Spectrogram Features. Int. J. Comput. 21(2): 258-270 (2022) - [j8]Seungmin Lee, Dat Ngo, Bongsoon Kang:
Design of an FPGA-Based High-Quality Real-Time Autonomous Dehazing System. Remote. Sens. 14(8): 1852 (2022) - [j7]Dat Ngo, Seungmin Lee, Ui-Jean Kang, Tri Minh Ngo, Gidong Lee, Bongsoon Kang:
Adapting a Dehazing System to Haze Conditions by Piece-Wisely Linearizing a Depth Estimator. Sensors 22(5): 1957 (2022) - [c9]Lam Pham, Dat Ngo, Tho Nguyen, Phu X. Nguyen, Truong Van Hoang, Alexander Schindler:
An Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene Classification. CBMI 2022: 23-28 - [c8]Truong Van Hoang, Lam Pham, Dat Ngo, Hoang D. Nguyen:
A Cough-based deep learning framework for detecting COVID-19. EMBC 2022: 3422-3425 - [c7]Lam Pham, Dat Ngo, Khoa Tran, Truong Van Hoang, Alexander Schindler, Ian McLoughlin:
An Ensemble of Deep Learning Frameworks for Predicting Respiratory Anomalies. EMBC 2022: 4595-4598 - [c6]Dat Ngo, Lam Pham, Truong Van Hoang, Sefki Kolozali, Delaram Jarchi:
Audio-Based Deep Learning Frameworks for Detecting COVID-19. EUSIPCO 2022: 1233-1237 - [c5]Lam Pham, Khoa Tran, Dat Ngo, Hieu Tang, Son Phan, Alexander Schindler:
Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices. MMAsia 2022: 35:1-35:5 - [i9]Lam Pham, Dat Ngo, Truong Van Hoang, Alexander Schindler, Ian McLoughlin:
An Ensemble of Deep Learning Frameworks Applied For Predicting Respiratory Anomalies. CoRR abs/2201.03054 (2022) - [i8]Dat Ngo, Lam Pham, Truong Van Hoang, Sefki Kolozali, Delaram Jarchi:
Audio-Based Deep Learning Frameworks for Detecting COVID-19. CoRR abs/2202.05626 (2022) - [i7]Lam Pham, Khoa Dinh, Dat Ngo, Hieu Tang, Alexander Schindler:
Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices. CoRR abs/2203.12314 (2022) - [i6]Lam Pham, Dat Ngo, Anahid N. Jalali, Alexander Schindler:
Low-complexity deep learning frameworks for acoustic scene classification. CoRR abs/2206.06057 (2022) - [i5]Lam Pham, Khoa Tran, Dat Ngo, Jasmin Lampert, Alexander Schindler:
Remote Sensing Image Classification using Transfer Learning and Attention Based Deep Neural Network. CoRR abs/2206.13392 (2022) - 2021
- [j6]Dat Ngo, Seungmin Lee, Tri Minh Ngo, Gidong Lee, Bongsoon Kang:
Visibility Restoration: A Systematic Review and Meta-Analysis. Sensors 21(8): 2625 (2021) - [j5]Dat Ngo, Gidong Lee, Bongsoon Kang:
Haziness Degree Evaluator: A Knowledge-Driven Approach for Haze Density Estimation. Sensors 21(11): 3896 (2021) - [j4]Dat Ngo, Seungmin Lee, Gidong Lee, Bongsoon Kang:
Automating a Dehazing System by Self-Calibrating on Haze Conditions. Sensors 21(19): 6373 (2021) - [c4]Phuc H. Duong, Cuong C. Chung, Loc T. Vo, Hien T. Nguyen, Dat Ngo:
Detecting Hate Speech Contents Using Embedding Models. CSoNet 2021: 138-146 - [c3]Anh Nguyen, Khoa Pham, Dat Ngo, Thanh Ngo, Lam Pham:
An Analysis of State-of-the-art Activation Functions For Supervised Deep Neural Network. ICSSE 2021: 215-220 - [i4]Anh Nguyen, Khoa Pham, Dat Ngo, Thanh Ngo, Lam Pham:
An Analysis of State-of-the-art Activation Functions For Supervised Deep Neural Network. CoRR abs/2104.02523 (2021) - [i3]Lam Pham, Dat Ngo, Phu X. Nguyen, Truong Van Hoang, Alexander Schindler:
An Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene Classification. CoRR abs/2112.09172 (2021) - 2020
- [j3]Dat Ngo, Seungmin Lee, Bongsoon Kang:
Robust Single-Image Haze Removal Using Optimal Transmission Map and Adaptive Atmospheric Light. Remote. Sens. 12(14): 2233 (2020) - [j2]Dat Ngo, Seungmin Lee, Quoc-Hieu Nguyen, Tri Minh Ngo, Gidong Lee, Bongsoon Kang:
Single Image Haze Removal from Image Enhancement Perspective for Real-Time Vision-Based Systems. Sensors 20(18): 5170 (2020) - [j1]Dat Ngo, Seungmin Lee, Gidong Lee, Bongsoon Kang:
Single-Image Visibility Restoration: A Machine Learning Approach and Its 4K-Capable Hardware Accelerator. Sensors 20(20): 5795 (2020) - [c2]Tuan Nguyen, Dat Ngo, Lam Pham, Linh Tran, Trang Hoang:
A Re-trained Model Based On Multi-kernel Convolutional Neural Network for Acoustic Scene Classification. RIVF 2020: 1-5 - [i2]Dat Ngo, Hao Hoang, Anh Nguyen, Tien Ly, Lam Pham:
Sound Context Classification Basing on Join Learning Model and Multi-Spectrogram Features. CoRR abs/2005.12779 (2020) - [i1]Dat Ngo, Lam Pham, Anh Nguyen, Ben Phan, Khoa Tran, Truong Nguyen:
Deep Learning Framework Applied for Predicting Anomaly of Respiratory Sounds. CoRR abs/2012.13668 (2020)
2010 – 2019
- 2019
- [c1]Dat Ngo, Bongsoon Kang:
A New Data Preparation Methodology in Machine Learning-based Haze Removal Algorithms. ICEIC 2019: 1-4
Coauthor Index
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