A New Data Preparation Methodology in Machine Learning-based Haze Removal Algorithms. - Dat Ngo; Bongsoon Kang (ICEIC, 2019)

A Re-trained Model Based On Multi-kernel Convolutional Neural Network for Acoustic Scene Classification. - Tuan Nguyen; Dat Ngo; Lam Pham; Linh Tran; Trang Hoang (RIVF, 2020)

Sound Context Classification Basing on Join Learning Model and Multi-Spectrogram Features. - Dat Ngo; Hao Hoang; Anh Nguyen; Tien Ly; Lam Pham (CoRR, 2020)

Deep Learning Framework Applied for Predicting Anomaly of Respiratory Sounds. - Dat Ngo; Lam Pham; Anh Nguyen; Ben Phan; Khoa Tran; Truong Nguyen (CoRR, 2020)

Robust Single-Image Haze Removal Using Optimal Transmission Map and Adaptive Atmospheric Light. - Dat Ngo; Seungmin Lee; Bongsoon Kang (Remote. Sens., 2020)

Single-Image Visibility Restoration: A Machine Learning Approach and Its 4K-Capable Hardware Accelerator. - Dat Ngo; Seungmin Lee; Gidong Lee; Bongsoon Kang (Sensors, 2020)

Single Image Haze Removal from Image Enhancement Perspective for Real-Time Vision-Based Systems. - Dat Ngo; Seungmin Lee; Quoc-Hieu Nguyen; Tri Minh Ngo; Gidong Lee; Bongsoon Kang (Sensors, 2020)

Detecting Hate Speech Contents Using Embedding Models. - Phuc H. Duong; Cuong C. Chung; Loc T. Vo; Hien T. Nguyen; Dat Ngo (CSoNet, 2021)

An Analysis of State-of-the-art Activation Functions For Supervised Deep Neural Network. - Anh Nguyen; Khoa Pham; Dat Ngo; Thanh Ngo; Lam Pham (ICSSE, 2021)

An Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene Classification. - Lam Pham; Dat Ngo; Phu X. Nguyen; Truong Van Hoang; Alexander Schindler (CoRR, 2021)

Haziness Degree Evaluator: A Knowledge-Driven Approach for Haze Density Estimation. - Dat Ngo; Gidong Lee; Bongsoon Kang (Sensors, 2021)

Automating a Dehazing System by Self-Calibrating on Haze Conditions. - Dat Ngo; Seungmin Lee; Gidong Lee; Bongsoon Kang (Sensors, 2021)

Visibility Restoration: A Systematic Review and Meta-Analysis. - Dat Ngo; Seungmin Lee; Tri Minh Ngo; Gidong Lee; Bongsoon Kang (Sensors, 2021)

An Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene Classification. - Lam Pham; Dat Ngo; Tho Nguyen; Phu X. Nguyen; Truong Van Hoang; Alexander Schindler (CBMI, 2022)

A Cough-based deep learning framework for detecting COVID-19. - Truong Van Hoang; Lam Pham; Dat Ngo; Hoang D. Nguyen (EMBC, 2022)

An Ensemble of Deep Learning Frameworks for Predicting Respiratory Anomalies. - Lam Pham; Dat Ngo; Khoa Tran; Truong Van Hoang; Alexander Schindler; Ian McLoughlin 001 (EMBC, 2022)

Audio-Based Deep Learning Frameworks for Detecting COVID-19. - Dat Ngo; Lam Pham; Truong Van Hoang; Sefki Kolozali; Delaram Jarchi (EUSIPCO, 2022)

Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices. - Lam Pham; Khoa Tran; Dat Ngo; Hieu Tang; Son Phan; Alexander Schindler (MMAsia, 2022)

Singe Image Dehazing With Unsharp Masking and Color Gamut Expansion. - Dat Ngo; Gidong Lee; Bongsoon Kang (IEEE Access, 2022)

An Ensemble of Deep Learning Frameworks Applied For Predicting Respiratory Anomalies. - Lam Pham; Dat Ngo; Truong Van Hoang; Alexander Schindler; Ian McLoughlin 001 (CoRR, 2022)

Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices. - Lam Pham; Khoa Dinh; Dat Ngo; Hieu Tang; Alexander Schindler (CoRR, 2022)

Low-complexity deep learning frameworks for acoustic scene classification. - Lam Pham; Dat Ngo; Anahid N. Jalali; Alexander Schindler (CoRR, 2022)

Remote Sensing Image Classification using Transfer Learning and Attention Based Deep Neural Network. - Lam Pham; Khoa Tran; Dat Ngo; Jasmin Lampert; Alexander Schindler (CoRR, 2022)

Sound Context Classification based on Joint Learning Model and Multi-Spectrogram Features. - Dat Ngo; Lam Pham; Anh Nguyen; Tien Ly; Khoa Pham; Thanh Ngo (Int. J. Comput., 2022)

Design of an FPGA-Based High-Quality Real-Time Autonomous Dehazing System. - Seungmin Lee; Dat Ngo; Bongsoon Kang (Remote. Sens., 2022)

Adapting a Dehazing System to Haze Conditions by Piece-Wisely Linearizing a Depth Estimator. - Dat Ngo; Seungmin Lee; Ui-Jean Kang; Tri Minh Ngo; Gidong Lee; Bongsoon Kang (Sensors, 2022)

A Deep Learning Architecture with Spatio-Temporal Focusing for Detecting Respiratory Anomalies. - Dat Ngo; Lam Pham; Huy Phan; Minh Tran; Delaram Jarchi (BioCAS, 2023)

Deep Learning Based Multimodal with Two-phase Training Strategy for Daily Life Video Classification. - Lam Pham; Trang Le; Cam Le; Dat Ngo; Axel Weissenfeld; Alexander Schindler (CBMI, 2023)

A Light-Weight Deep Learning Model for Remote Sensing Image Classification. - Lam Pham; Cam Le; Dat Ngo; Anh Nguyen; Jasmin Lampert; Alexander Schindler; Ian McLoughlin 001 (ISPA, 2023)

Light-Weight Deep Learning Models for Acoustic Scene Classification Using Teacher-Student Scheme and Multiple Spectrograms. - Lam Pham; Tin Nguyen 007; Phat Lam; Dat Ngo; Anahid N. Jalali; Alexander Schindler (IS2, 2023)

An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies. - Dat Ngo; Lam Pham; Huy Phan; Minh Tran; Delaram Jarchi; Sefki Kolozali (MMSP, 2023)

Low-complexity deep learning frameworks for acoustic scene classification using teacher-student scheme and multiple spectrograms. - Lam Pham; Dat Ngo; Cam Le; Anahid N. Jalali; Alexander Schindler (CoRR, 2023)

The Impact of Frequency Bands on Acoustic Anomaly Detection of Machines using Deep Learning Based Model. - Tin Nguyen 007; Lam Pham; Phat Lam; Dat Ngo; Hieu Tang; Alexander Schindler (CoRR, 2024)

A Symmetric Multiprocessor System-on-a-Chip-Based Solution for Real-Time Image Dehazing. - Dat Ngo; Bongsoon Kang (Symmetry, 2024)

A novel pipelined architecture of entropy filter. - Dat Ngo; Bongsoon Kang (J. Real Time Image Process., 2024)

A Unified Hardware Design for Multiplication, Division, and Square Roots Using Binary Logarithms. - Dat Ngo; Siyeon Han; Bongsoon Kang (Symmetry, 2024)

Autonomous Single-Image Dehazing: Enhancing Local Texture with Haze Density-Aware Image Blending. - Siyeon Han; Dat Ngo; Yeonggyu Choi; Bongsoon Kang (Remote. Sens., 2024)

Multi-Sensor Wearable Device With Transformer-Powered Two-Stream Fusion Model for Real-Time Leg Workout Monitoring. - Duc Tri Phan; Jaeyeop Choi; Truong-Tien Vo; Dat Ngo; Byeong-il Lee; Jung-Hwan Oh 003 (IEEE J. Biomed. Health Informatics, 2025)