Joon Huang Chuah
Orcid: 0000-0001-9058-3497
According to our database1,
Joon Huang Chuah
authored at least 64 papers
between 2001 and 2024.
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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
Eng. Appl. Artif. Intell., 2024
HCMT: A Novel Hierarchical Cross-Modal Transformer for Recognition of Abnormal Behavior.
IEEE Access, 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
IEEE Access, 2024
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024
2023
Internet Things, July, 2023
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
IEEE Access, 2023
IEEE Access, 2023
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
Remote. Sens., 2022
Pattern Recognit., 2022
Multim. Tools Appl., 2022
J. Optim. Theory Appl., 2022
ACORT: A compact object relation transformer for parameter efficient image captioning.
Neurocomputing, 2022
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
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
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
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
Convolutional Neural Network or Vision Transformer? Benchmarking Various Machine Learning Models for Distracted Driver Detection.
Proceedings of the IEEE Region 10 Conference, 2021
Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications, 2021
2020
IEEE Trans. Veh. Technol., 2020
Discovering the Predictive Value of Clinical Notes: Machine Learning Analysis with Text Representation.
J. Medical Imaging Health Informatics, 2020
Proceedings of the International Computer Symposium, 2020
Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020
Proceedings of the 10th IEEE International Conference on System Engineering and Technology, 2020
2019
IEEE Trans. Multim., 2019
PCANet-Based Convolutional Neural Network Architecture for a Vehicle Model Recognition System.
IEEE Trans. Intell. Transp. Syst., 2019
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
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
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
Proceedings of the Medical Imaging 2001: Visualization, 2001
Proceedings of the Medical Imaging and Augmented Reality: First International Workshop, 2001