Lam Pham

Orcid: 0000-0001-8155-7553

According to our database1, Lam Pham authored at least 39 papers between 2020 and 2024.

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

Timeline

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Bibliography

2024
The Impact of Frequency Bands on Acoustic Anomaly Detection of Machines using Deep Learning Based Model.
CoRR, 2024

LSTM-based Deep Neural Network With A Focus on Sentence Representation for Sequential Sentence Classification in Medical Scientific Abstracts.
CoRR, 2024

2023
Landslide Detection and Segmentation Using Remote Sensing Images and Deep Neural Network.
CoRR, 2023

Robust-MBFD: A Robust Deep Learning System for Motor Bearing Faults Detection Using Multiple Deep Learning Training Strategies and A Novel Double Loss Function.
CoRR, 2023

Robust-MBDL: A Robust Multi-branch Deep Learning Based Model for Remaining Useful Life Prediction and Operational Condition Identification of Rotating Machines.
CoRR, 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

A Light-Weight Deep Learning Model for Remote Sensing Image Classification.
Proceedings of the International Symposium on Image and Signal Processing and Analysis, 2023

A Robust and Low Complexity Deep Learning Model for Remote Sensing Image Classification.
Proceedings of the 2023 8th International Conference on Intelligent Information Technology, 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
Robust, General, and Low Complexity Acoustic Scene Classification Systems and An Effective Visualization for Presenting a Sound Scene Context.
CoRR, 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

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

An Annihilating Filter-Based DOA Estimation for Uniform Linear Array.
Proceedings of the 2022 International Conference on Advanced Computing and Analytics (ACOMPA), 2022

2021
CNN-MoE Based Framework for Classification of Respiratory Anomalies and Lung Disease Detection.
IEEE J. Biomed. Health Informatics, 2021

An Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene Classification.
CoRR, 2021

An Annihilating Filter-Based DOA Estimation for Uniform Linear Array.
CoRR, 2021

A Cough-based deep learning framework for detecting COVID-19.
CoRR, 2021

Robust Deep Learning Frameworks for Acoustic Scene and Respiratory Sound Classification.
CoRR, 2021

Deep Learning Frameworks Applied For Audio-Visual Scene Classification.
CoRR, 2021

A Low-Compexity Deep Learning Framework For Acoustic Scene Classification.
CoRR, 2021

An Audio-Based Deep Learning Framework ForBBC Television Programme 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

A General Network Architecture for Sound Event Localization and Detection Using Transfer Learning and Recurrent Neural Network.
Proceedings of the IEEE International Conference on Acoustics, 2021

An Audio-Based Deep Learning Framework For BBC Television Programme Classification.
Proceedings of the 29th European Signal Processing Conference, 2021

Inception-Based Network and Multi-Spectrogram Ensemble Applied To Predict Respiratory Anomalies and Lung Diseases.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

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

Predicting Respiratory Anomalies and Diseases Using Deep Learning Models.
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

On Multitask Loss Function for Audio Event Detection and Localization.
Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020


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