Dat Ngo - RankMe

47 papers C 4Journal 33Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Configurable gamma correction hardware via log-2 logarithm and piecewise linear approximation. Digit. Signal Process. Thang Tran, Seungmin Lee, Van-Tho Nguyen, Nguyen Tan Hung, Dat Ngo
2026	J	`jnl`	Multi-Range Hazing: Synthesizing Homogeneous Atmospheric Haze for Image Processing. Signal Image Video Process. Dat Ngo, Jeonghyeon Son, Boo-Dong Kwak, Suhun Ahn, Bongsoon Kang
2026	J	`jnl`	Uncertainty-Aware Selective Prediction of Neovascular Age-Related Macular Degeneration Recurrence Using Artificial Intelligence. IEEE Access Won Tae Yoon, Hun-Gyeom Kim, Junhyung Moon, Dat Ngo, Jae Hui Kim, Baek Hwan Cho
2025	J	`jnl`	Multi-Sensor Wearable Device With Transformer-Powered Two-Stream Fusion Model for Real-Time Leg Workout Monitoring. IEEE J. Biomed. Health Informatics Duc Tri Phan, Jaeyeop Choi, Truong-Tien Vo, Dat Ngo, Byeong-il Lee, Jung-Hwan Oh
2024	J	`jnl`	A Symmetric Multiprocessor System-on-a-Chip-Based Solution for Real-Time Image Dehazing. Symmetry Dat Ngo, Bongsoon Kang
2024	J	`jnl`	A Unified Hardware Design for Multiplication, Division, and Square Roots Using Binary Logarithms. Symmetry Dat Ngo, Siyeon Han, Bongsoon Kang
2024	J	`jnl`	A novel pipelined architecture of entropy filter. J. Real Time Image Process. Dat Ngo, Bongsoon Kang
2024	J	`jnl`	Autonomous Single-Image Dehazing: Enhancing Local Texture with Haze Density-Aware Image Blending. Remote. Sens. Siyeon Han, Dat Ngo, Yeonggyu Choi, Bongsoon Kang
2024	J	`jnl`	The Impact of Frequency Bands on Acoustic Anomaly Detection of Machines using Deep Learning Based Model. CoRR Tin Nguyen, Lam Pham, Phat Lam, Dat Ngo, Hieu Tang, Alexander Schindler
2023	—	`conf`	A Deep Learning Architecture with Spatio-Temporal Focusing for Detecting Respiratory Anomalies. BioCAS Dat Ngo, Lam Pham, Huy Phan, Minh Tran, Delaram Jarchi
2023	J	`jnl`	A Deep Learning Architecture with Spatio-Temporal Focusing for Detecting Respiratory Anomalies. CoRR Dat Ngo, Lam Pham, Huy Phan, Minh Tran, Delaram Jarchi
2023	C	`conf`	A Light-Weight Deep Learning Model for Remote Sensing Image Classification. ISPA Lam Pham, Cam Le, Dat Ngo, Anh Nguyen, Jasmin Lampert, Alexander Schindler, Ian McLoughlin
2023	J	`jnl`	A Light-weight Deep Learning Model for Remote Sensing Image Classification. CoRR Lam Pham, Cam Le, Dat Ngo, Anh Nguyen, Jasmin Lampert, Alexander Schindler, Ian McLoughlin
2023	C	`conf`	An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies. MMSP Dat Ngo, Lam Pham, Huy Phan, Minh Tran, Delaram Jarchi, Sefki Kolozali
2023	J	`jnl`	An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies. CoRR Dat Ngo, Lam Pham, Huy Phan, Minh Tran, Delaram Jarchi, Sefki Kolozali
2023	C	`conf`	Deep Learning Based Multimodal with Two-phase Training Strategy for Daily Life Video Classification. CBMI Lam Pham, Trang Le, Cam Le, Dat Ngo, Axel Weissenfeld, Alexander Schindler
2023	J	`jnl`	Deep Learning Based Multimodal with Two-phase Training Strategy for Daily Life Video Classification. CoRR Lam Pham, Trang Le, Cam Le, Dat Ngo, Axel Weissenfeld, Alexander Schindler
2023	—	`conf`	Light-Weight Deep Learning Models for Acoustic Scene Classification Using Teacher-Student Scheme and Multiple Spectrograms. IS2 Lam Pham, Tin Nguyen, Phat Lam, Dat Ngo, Anahid N. Jalali, Alexander Schindler
2023	J	`jnl`	Low-complexity deep learning frameworks for acoustic scene classification using teacher-student scheme and multiple spectrograms. CoRR Lam Pham, Dat Ngo, Cam Le, Anahid N. Jalali, Alexander Schindler
2022	—	`conf`	A Cough-based deep learning framework for detecting COVID-19. EMBC Truong Van Hoang, Lam Pham, Dat Ngo, Hoang D. Nguyen
2022	J	`jnl`	Adapting a Dehazing System to Haze Conditions by Piece-Wisely Linearizing a Depth Estimator. Sensors Dat Ngo, Seungmin Lee, Ui-Jean Kang, Tri Minh Ngo, Gidong Lee, Bongsoon Kang
2022	C	`conf`	An Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene Classification. CBMI Lam Pham, Dat Ngo, Tho Nguyen, Phu X. Nguyen, Truong Van Hoang, Alexander Schindler
2022	J	`jnl`	An Ensemble of Deep Learning Frameworks Applied For Predicting Respiratory Anomalies. CoRR Lam Pham, Dat Ngo, Truong Van Hoang, Alexander Schindler, Ian McLoughlin
2022	—	`conf`	An Ensemble of Deep Learning Frameworks for Predicting Respiratory Anomalies. EMBC Lam Pham, Dat Ngo, Khoa Tran, Truong Van Hoang, Alexander Schindler, Ian McLoughlin
2022	—	`conf`	Audio-Based Deep Learning Frameworks for Detecting COVID-19. EUSIPCO Dat Ngo, Lam Pham, Truong Van Hoang, Sefki Kolozali, Delaram Jarchi
2022	J	`jnl`	Audio-Based Deep Learning Frameworks for Detecting COVID-19. CoRR Dat Ngo, Lam Pham, Truong Van Hoang, Sefki Kolozali, Delaram Jarchi
2022	J	`jnl`	Design of an FPGA-Based High-Quality Real-Time Autonomous Dehazing System. Remote. Sens. Seungmin Lee, Dat Ngo, Bongsoon Kang
2022	J	`jnl`	Low-complexity deep learning frameworks for acoustic scene classification. CoRR Lam Pham, Dat Ngo, Anahid N. Jalali, Alexander Schindler
2022	J	`jnl`	Remote Sensing Image Classification using Transfer Learning and Attention Based Deep Neural Network. CoRR Lam Pham, Khoa Tran, Dat Ngo, Jasmin Lampert, Alexander Schindler
2022	J	`jnl`	Singe Image Dehazing With Unsharp Masking and Color Gamut Expansion. IEEE Access Dat Ngo, Gidong Lee, Bongsoon Kang
2022	J	`jnl`	Sound Context Classification based on Joint Learning Model and Multi-Spectrogram Features. Int. J. Comput. Dat Ngo, Lam Pham, Anh Nguyen, Tien Ly, Khoa Pham, Thanh Ngo
2022	—	`conf`	Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices. MMAsia Lam Pham, Khoa Tran, Dat Ngo, Hieu Tang, Son Phan, Alexander Schindler
2022	J	`jnl`	Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices. CoRR Lam Pham, Khoa Dinh, Dat Ngo, Hieu Tang, Alexander Schindler
2021	—	`conf`	An Analysis of State-of-the-art Activation Functions For Supervised Deep Neural Network. ICSSE Anh Nguyen, Khoa Pham, Dat Ngo, Thanh Ngo, Lam Pham
2021	J	`jnl`	An Analysis of State-of-the-art Activation Functions For Supervised Deep Neural Network. CoRR Anh Nguyen, Khoa Pham, Dat Ngo, Thanh Ngo, Lam Pham
2021	J	`jnl`	An Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene Classification. CoRR Lam Pham, Dat Ngo, Phu X. Nguyen, Truong Van Hoang, Alexander Schindler
2021	J	`jnl`	Automating a Dehazing System by Self-Calibrating on Haze Conditions. Sensors Dat Ngo, Seungmin Lee, Gidong Lee, Bongsoon Kang
2021	—	`conf`	Detecting Hate Speech Contents Using Embedding Models. CSoNet Phuc H. Duong, Cuong C. Chung, Loc T. Vo, Hien T. Nguyen, Dat Ngo
2021	J	`jnl`	Haziness Degree Evaluator: A Knowledge-Driven Approach for Haze Density Estimation. Sensors Dat Ngo, Gidong Lee, Bongsoon Kang
2021	J	`jnl`	Visibility Restoration: A Systematic Review and Meta-Analysis. Sensors Dat Ngo, Seungmin Lee, Tri Minh Ngo, Gidong Lee, Bongsoon Kang
2020	—	`conf`	A Re-trained Model Based On Multi-kernel Convolutional Neural Network for Acoustic Scene Classification. RIVF Tuan Nguyen, Dat Ngo, Lam Pham, Linh Tran, Trang Hoang
2020	J	`jnl`	Deep Learning Framework Applied for Predicting Anomaly of Respiratory Sounds. CoRR Dat Ngo, Lam Pham, Anh Nguyen, Ben Phan, Khoa Tran, Truong Nguyen
2020	J	`jnl`	Robust Single-Image Haze Removal Using Optimal Transmission Map and Adaptive Atmospheric Light. Remote. Sens. Dat Ngo, Seungmin Lee, Bongsoon Kang
2020	J	`jnl`	Single Image Haze Removal from Image Enhancement Perspective for Real-Time Vision-Based Systems. Sensors Dat Ngo, Seungmin Lee, Quoc-Hieu Nguyen, Tri Minh Ngo, Gidong Lee, Bongsoon Kang
2020	J	`jnl`	Single-Image Visibility Restoration: A Machine Learning Approach and Its 4K-Capable Hardware Accelerator. Sensors Dat Ngo, Seungmin Lee, Gidong Lee, Bongsoon Kang
2020	J	`jnl`	Sound Context Classification Basing on Join Learning Model and Multi-Spectrogram Features. CoRR Dat Ngo, Hao Hoang, Anh Nguyen, Tien Ly, Lam Pham
2019	—	`conf`	A New Data Preparation Methodology in Machine Learning-based Haze Removal Algorithms. ICEIC Dat Ngo, Bongsoon Kang