Joon Huang Chuah

Orcid: 0000-0001-9058-3497

According to our database1, Joon Huang Chuah authored at least 63 papers between 2001 and 2024.

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

Timeline

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Bibliography

2024
Computational detection and interpretation of heart disease based on conditional variational auto-encoder and stacked ensemble-learning framework.
Biomed. Signal Process. Control., February, 2024

From darkness to clarity: A comprehensive review of contemporary image shadow removal research (2017-2023).
Image Vis. Comput., 2024

Machine learning approaches in comparative studies for Alzheimer's diagnosis using 2D MRI slices.
Turkish J. Electr. Eng. Comput. Sci., 2024

Artificial intelligent systems for vehicle classification: A survey.
Eng. Appl. Artif. Intell., 2024

Privacy Aware Feature Level Domain Adaptation for Training Deep Vision Models With Private Medical Stethoscope Dataset.
IEEE Access, 2024

Unsupervised Feature-Preserving CycleGAN for Fault Diagnosis of Rolling Bearings Using Unbalanced Infrared Thermal Imaging Sample.
IEEE Access, 2024

Segmentation of Overlapping Cells in Cervical Cytology Images: A Survey.
IEEE Access, 2024

An Energy Sampling Replay-Based Continual Learning Framework.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023
Communication and computation efficiency in Federated Learning: A survey.
Internet Things, July, 2023

Sentiment Analysis and Sarcasm Detection using Deep Multi-Task Learning.
Wirel. Pers. Commun., April, 2023

Lower extremity kinematics walking speed classification using long short-term memory neural frameworks.
Multim. Tools Appl., March, 2023

Conventional machine learning and deep learning in Alzheimer's disease diagnosis using neuroimaging: A review.
Frontiers Comput. Neurosci., February, 2023

Research on Road Environmental Sense Method of Intelligent Vehicle Based on Tracking Check.
IEEE Trans. Intell. Transp. Syst., January, 2023

Classification of basal stem rot using deep learning: a review of digital data collection and palm disease classification methods.
PeerJ Comput. Sci., 2023

Spatially Recalibrated Convolutional Neural Network for Vehicle Type Recognition.
IEEE Access, 2023

Coarse-to-Fine Context Aggregation Network for Vehicle Make and Model Recognition.
IEEE Access, 2023

Campus Abnormal Behavior Recognition With Temporal Segment Transformers.
IEEE Access, 2023

Detection of Basal Stem Rot Disease Using Deep Learning.
IEEE Access, 2023

Contrastive-Regularized U-Net for Video Anomaly Detection.
IEEE Access, 2023

Addressing Location Dependency in Human Activity Recognition Using Channel State Information via 3D- CWT Approach.
Proceedings of the IEEE International Conference on Artificial Intelligence in Engineering and Technology, 2023

2022
Inter-Multilevel Super-Orthogonal Space-Time Coding Scheme for Reliable ZigBee-Based IoMT Communications.
Sensors, 2022

A Study on Distortion Estimation Based on Image Gradients.
Sensors, 2022

Spatial-Temporal Neural Network for Rice Field Classification from SAR Images.
Remote. Sens., 2022

End-to-End Supermask Pruning: Learning to Prune Image Captioning Models.
Pattern Recognit., 2022

Diagnosis of optic neuritis using magnetic resonance images.
Multim. Tools Appl., 2022

Optimal Control of Cancer Chemotherapy with Delays and State Constraints.
J. Optim. Theory Appl., 2022

ACORT: A compact object relation transformer for parameter efficient image captioning.
Neurocomputing, 2022

A Review of Machine Learning Network in Human Motion Biomechanics.
J. Grid Comput., 2022

Detecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open challenges (2014-2021).
Eng. Appl. Artif. Intell., 2022

Crack Segmentation Network using Additive Attention Gate - CSN-II.
Eng. Appl. Artif. Intell., 2022

An Effective Heart Disease Detection and Severity Level Classification Model Using Machine Learning and Hyperparameter Optimization Methods.
IEEE Access, 2022

Improving the Heart Disease Detection and Patients' Survival Using Supervised Infinite Feature Selection and Improved Weighted Random Forest.
IEEE Access, 2022

Convlstm Neural Network for Rice Field Classification from Sentinel-1A Sar Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Optimally-Weighted Image-Pose Approach (OWIPA) for Distracted Driver Detection and Classification.
Sensors, 2021

YOLO-RTUAV: Towards Real-Time Vehicle Detection through Aerial Images with Low-Cost Edge Devices.
Remote. Sens., 2021

Early Detection of Readmission Risk for Decision Support Based on Clinical Notes.
J. Medical Imaging Health Informatics, 2021

A comparative study of multiple neural network for detection of COVID-19 on chest X-ray.
EURASIP J. Adv. Signal Process., 2021

Automatic pixel-level crack segmentation in images using fully convolutional neural network based on residual blocks and pixel local weights.
Eng. Appl. Artif. Intell., 2021

An Overview of Deep Learning Techniques on Chest X-Ray and CT Scan Identification of COVID-19.
Comput. Math. Methods Medicine, 2021

Regularization of Deep Neural Network With Batch Contrastive Loss.
IEEE Access, 2021

Retinal Vessel Segmentation Using Deep Learning: A Review.
IEEE Access, 2021

Convolutional Neural Network or Vision Transformer? Benchmarking Various Machine Learning Models for Distracted Driver Detection.
Proceedings of the IEEE Region 10 Conference, 2021

Fruit Ripeness Classification with Few-Shot Learning.
Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications, 2021

2020
Semisupervised PCA Convolutional Network for Vehicle Type Classification.
IEEE Trans. Veh. Technol., 2020

Discovering the Predictive Value of Clinical Notes: Machine Learning Analysis with Text Representation.
J. Medical Imaging Health Informatics, 2020

An Overview of Deep Learning Approaches in Chest Radiograph.
IEEE Access, 2020

Prediction of Hospital Readmission Combining Rule-based and Machine Learning Model.
Proceedings of the International Computer Symposium, 2020

Batch Contrastive Regularization for Deep Neural Network.
Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020

Iris Recognition using Convolutional Neural Network.
Proceedings of the 10th IEEE International Conference on System Engineering and Technology, 2020

2019
COMIC: Toward A Compact Image Captioning Model With Attention.
IEEE Trans. Multim., 2019

PCANet-Based Convolutional Neural Network Architecture for a Vehicle Model Recognition System.
IEEE Trans. Intell. Transp. Syst., 2019

Vehicle logo recognition using whitening transformation and deep learning.
Signal Image Video Process., 2019

High-density impulse noise detection and removal using deep convolutional neural network with particle swarm optimisation.
IET Image Process., 2019

Image Captioning with Sparse Recurrent Neural Network.
CoRR, 2019

COMIC: Towards A Compact Image Captioning Model with Attention.
CoRR, 2019

2018
Optimization of fed-batch fermentation processes using the Backtracking Search Algorithm.
Expert Syst. Appl., 2018

A multi-objective particle swarm optimization algorithm based on dynamic boundary search for constrained optimization.
Appl. Soft Comput., 2018

2017
A 73.9%-Efficiency CMOS Rectifier Using a Lower DC Feeding (LDCF) Self-Body-Biasing Technique for Far-Field RF Energy-Harvesting Systems.
IEEE Trans. Circuits Syst. I Regul. Pap., 2017

Ideology algorithm: a socio-inspired optimization methodology.
Neural Comput. Appl., 2017

Image noise types recognition using convolutional neural network with principal components analysis.
IET Image Process., 2017

2006
VertiCal, a Universal Calibration System for eSys High Performance 32-Bit PowerPC Microcontrollers; Test Challenges & Solution.
Proceedings of the Third IEEE International Workshop on Electronic Design, 2006

2001
3D space analysis of dental models.
Proceedings of the Medical Imaging 2001: Visualization, 2001

Robust Arch Detection and Tooth Segmentation in 3D Images of Dental Plaster Models.
Proceedings of the Medical Imaging and Augmented Reality: First International Workshop, 2001


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