Dat Ngo
Orcid: 0000-0002-3896-648X
According to our database1,
Dat Ngo
authored at least 31 papers
between 2019 and 2024.
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Bibliography
2024
The Impact of Frequency Bands on Acoustic Anomaly Detection of Machines using Deep Learning Based Model.
CoRR, 2024
2023
Low-complexity deep learning frameworks for acoustic scene classification using teacher-student scheme and multiple spectrograms.
CoRR, 2023
An Inception-Residual-Based Architecture with Multi-Objective Loss for Detecting Respiratory Anomalies.
Proceedings of the 25th IEEE International Workshop on Multimedia Signal Processing, 2023
Proceedings of the International Symposium on Image and Signal Processing and Analysis, 2023
Deep Learning Based Multimodal with Two-phase Training Strategy for Daily Life Video Classification.
Proceedings of the 20th International Conference on Content-based Multimedia Indexing, 2023
A Deep Learning Architecture with Spatio-Temporal Focusing for Detecting Respiratory Anomalies.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023
2022
Adapting a Dehazing System to Haze Conditions by Piece-Wisely Linearizing a Depth Estimator.
Sensors, 2022
Remote. Sens., 2022
Remote Sensing Image Classification using Transfer Learning and Attention Based Deep Neural Network.
CoRR, 2022
CoRR, 2022
Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices.
CoRR, 2022
An Ensemble of Deep Learning Frameworks Applied For Predicting Respiratory Anomalies.
CoRR, 2022
IEEE Access, 2022
Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices.
Proceedings of the 4th ACM International Conference on Multimedia in Asia, 2022
Proceedings of the 30th European Signal Processing Conference, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
An Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene Classification.
Proceedings of the CBMI 2022: International Conference on Content-based Multimedia Indexing, Graz, Austria, September 14, 2022
2021
Sensors, 2021
An Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene Classification.
CoRR, 2021
An Analysis of State-of-the-art Activation Functions For Supervised Deep Neural Network.
Proceedings of the International Conference on System Science and Engineering, 2021
Proceedings of the Computational Data and Social Networks - 10th International Conference, 2021
2020
Single Image Haze Removal from Image Enhancement Perspective for Real-Time Vision-Based Systems.
Sensors, 2020
Single-Image Visibility Restoration: A Machine Learning Approach and Its 4K-Capable Hardware Accelerator.
Sensors, 2020
Robust Single-Image Haze Removal Using Optimal Transmission Map and Adaptive Atmospheric Light.
Remote. Sens., 2020
CoRR, 2020
Sound Context Classification Basing on Join Learning Model and Multi-Spectrogram Features.
CoRR, 2020
A Re-trained Model Based On Multi-kernel Convolutional Neural Network for Acoustic Scene Classification.
Proceedings of the 2020 RIVF International Conference on Computing and Communication Technologies, 2020
2019
A New Data Preparation Methodology in Machine Learning-based Haze Removal Algorithms.
Proceedings of the International Conference on Electronics, Information, and Communication, 2019