Dat Ngo

According to our database1, Dat Ngo authored at least 25 papers between 2019 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2022
Adapting a Dehazing System to Haze Conditions by Piece-Wisely Linearizing a Depth Estimator.
Sensors, 2022

Design of an FPGA-Based High-Quality Real-Time Autonomous Dehazing System.
Remote. Sens., 2022

Remote Sensing Image Classification using Transfer Learning and Attention Based Deep Neural Network.
CoRR, 2022

Low-complexity deep learning frameworks for acoustic scene classification.
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

Singe Image Dehazing With Unsharp Masking and Color Gamut Expansion.
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

Audio-Based Deep Learning Frameworks for Detecting COVID-19.
Proceedings of the 30th European Signal Processing Conference, 2022

An Ensemble of Deep Learning Frameworks for Predicting Respiratory Anomalies.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

A Cough-based deep learning framework for detecting COVID-19.
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
Visibility Restoration: A Systematic Review and Meta-Analysis.
Sensors, 2021

Automating a Dehazing System by Self-Calibrating on Haze Conditions.
Sensors, 2021

Haziness Degree Evaluator: A Knowledge-Driven Approach for Haze Density Estimation.
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

Detecting Hate Speech Contents Using Embedding Models.
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

Deep Learning Framework Applied for Predicting Anomaly of Respiratory Sounds.
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


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