Robust Arch Detection and Tooth Segmentation in 3D Images of Dental Plaster Models. - Toshiaki Kondo; Sim Heng Ong; Joon Huang Chuah; Kelvin W. C. Foong (MIAR, 2001)

3D space analysis of dental models. - Joon Huang Chuah; Sim Heng Ong; Toshiaki Kondo; Kelvin Weng Chiong Foong; Than Fui Yong (Image-Guided Procedures, 2001)

VertiCal, a Universal Calibration System for eSys High Performance 32-Bit PowerPC Microcontrollers; Test Challenges & Solution. - Joon Huang Chuah; Joel Knight (DELTA, 2006)

Image noise types recognition using convolutional neural network with principal components analysis. - Hui Ying Khaw; Foo Chong Soon; Joon Huang Chuah; Chee-Onn Chow (IET Image Process., 2017)

Ideology algorithm: a socio-inspired optimization methodology. - Teo Ting Huan; Anand J. Kulkarni; Jeevan Kanesan; Joon Huang Chuah; Ajith Abraham (Neural Comput. Appl., 2017)

A 73.9%-Efficiency CMOS Rectifier Using a Lower DC Feeding (LDCF) Self-Body-Biasing Technique for Far-Field RF Energy-Harvesting Systems. - Amin Khalili Moghaddam; Joon Huang Chuah; Harikrishnan Ramiah; Jalil Ahmadian; Pui-In Mak; Rui Paulo Martins (IEEE Trans. Circuits Syst. I Regul. Pap., 2017)

A multi-objective particle swarm optimization algorithm based on dynamic boundary search for constrained optimization. - Mohamad Zihin bin Mohd Zain; Jeevan Kanesan; Joon Huang Chuah; Saroja Dhanapal; Graham Kendall (Appl. Soft Comput., 2018)

Optimization of fed-batch fermentation processes using the Backtracking Search Algorithm. - Mohamad Zihin bin Mohd Zain; Jeevan Kanesan; Graham Kendall; Joon Huang Chuah (Expert Syst. Appl., 2018)

COMIC: Towards A Compact Image Captioning Model with Attention. - Jia Huei Tan; Chee Seng Chan; Joon Huang Chuah (CoRR, 2019)

Image Captioning with Sparse Recurrent Neural Network. - Jia Huei Tan; Chee Seng Chan; Joon Huang Chuah (CoRR, 2019)

High-density impulse noise detection and removal using deep convolutional neural network with particle swarm optimisation. - Hui Ying Khaw; Foo Chong Soon; Joon Huang Chuah; Chee-Onn Chow (IET Image Process., 2019)

Vehicle logo recognition using whitening transformation and deep learning. - Foo Chong Soon; Hui Ying Khaw; Joon Huang Chuah; Jeevan Kanesan (Signal Image Video Process., 2019)

PCANet-Based Convolutional Neural Network Architecture for a Vehicle Model Recognition System. - Foo Chong Soon; Hui Ying Khaw; Joon Huang Chuah; Jeevan Kanesan (IEEE Trans. Intell. Transp. Syst., 2019)

COMIC: Toward A Compact Image Captioning Model With Attention. - Jia Huei Tan; Chee Seng Chan; Joon Huang Chuah (IEEE Trans. Multim., 2019)

Iris Recognition using Convolutional Neural Network. - Yuan Zhuang; Joon Huang Chuah; Chee Onn Chow; Marcus Guozong Lim (ICSET, 2020)

Batch Contrastive Regularization for Deep Neural Network. - Muhammad Tanveer; Hung-Khoon Tan; Hui-Fuang Ng; Maylor Karhang Leung; Joon Huang Chuah (IJCCI, 2020)

Prediction of Hospital Readmission Combining Rule-based and Machine Learning Model. - Kareen Teo; Khin Wee Lai; Ching Wai Yong; Belinda Pingguan-Murphy; Joon Huang Chuah; Clarence Augustine Th Tee (ICS, 2020)

An Overview of Deep Learning Approaches in Chest Radiograph. - Shazia Anis; Khin Wee Lai; Joon Huang Chuah; Shoaib Mohammad Ali; Hamidreza Mohafez; Maryam Hadizadeh; Yan Ding; Zhi Chao Ong (IEEE Access, 2020)

Discovering the Predictive Value of Clinical Notes: Machine Learning Analysis with Text Representation. - Kareen Teo; Ching Wai Yong; Joon Huang Chuah; Belinda Pingguan-Murphy; Khin Wee Lai (J. Medical Imaging Health Informatics, 2020)

Semisupervised PCA Convolutional Network for Vehicle Type Classification. - Foo Chong Soon; Hui Ying Khaw; Joon Huang Chuah; Jeevan Kanesan (IEEE Trans. Veh. Technol., 2020)

Fruit Ripeness Classification with Few-Shot Learning. - Hui-Fuang Ng; Jie-Jin Lo; Chih-Yang Lin; Hung-Khoon Tan; Joon Huang Chuah; Kar-Hang Leung (RoViSP, 2021)

Convolutional Neural Network or Vision Transformer? Benchmarking Various Machine Learning Models for Distracted Driver Detection. - Hong Vin Koay; Joon Huang Chuah; Chee-Onn Chow (TENCON, 2021)

Retinal Vessel Segmentation Using Deep Learning: A Review. - Chunhui Chen 006; Joon Huang Chuah; Raza Ali; Yizhou Wang 001 (IEEE Access, 2021)

Regularization of Deep Neural Network With Batch Contrastive Loss. - Muhammad Tanveer; Hung-Khoon Tan; Hui-Fuang Ng; Maylor Karhang Leung; Joon Huang Chuah (IEEE Access, 2021)

An Overview of Deep Learning Techniques on Chest X-Ray and CT Scan Identification of COVID-19. - Woan Ching Serena Low; Joon Huang Chuah; Clarence Augustine Th Tee; Shazia Anis; Muhammad Ali Shoaib; Amir Faisal; Azira Khalil; Khin Wee Lai (Comput. Math. Methods Medicine, 2021)

Automatic pixel-level crack segmentation in images using fully convolutional neural network based on residual blocks and pixel local weights. - Raza Ali; Joon Huang Chuah; Mohamad Sofian Abu Talip; Norrima Mokhtar; Muhammad Ali Shoaib (Eng. Appl. Artif. Intell., 2021)

A comparative study of multiple neural network for detection of COVID-19 on chest X-ray. - Shazia Anis; Tan Zi Xuan; Joon Huang Chuah; Juliana Usman; Pengjiang Qian; Khin Wee Lai (EURASIP J. Adv. Signal Process., 2021)

Early Detection of Readmission Risk for Decision Support Based on Clinical Notes. - Kareen Teo; Ching Wai Yong; Joon Huang Chuah; Belinda Pingguan-Murphy; Khin Wee Lai (J. Medical Imaging Health Informatics, 2021)

YOLO-RTUAV: Towards Real-Time Vehicle Detection through Aerial Images with Low-Cost Edge Devices. - Hong Vin Koay; Joon Huang Chuah; Chee-Onn Chow; Yang-Lang Chang; Keh Kok Yong (Remote. Sens., 2021)

Optimally-Weighted Image-Pose Approach (OWIPA) for Distracted Driver Detection and Classification. - Hong Vin Koay; Joon Huang Chuah; Chee-Onn Chow; Yang-Lang Chang; Bhuvendhraa Rudrusamy (Sensors, 2021)

Convlstm Neural Network for Rice Field Classification from Sentinel-1A Sar Images. - Yang-Lang Chang; Narendra Babu Tatini; Tsung-Hau Chen; Meng-Che Wu; Joon Huang Chuah; Yi-Ting Chen 006; Lena Chang (IGARSS, 2022)

Improving the Heart Disease Detection and Patients' Survival Using Supervised Infinite Feature Selection and Improved Weighted Random Forest. - Abdallah Abdellatif; Hamdan Abdellatef; Jeevan Kanesan; Chee-Onn Chow; Joon Huang Chuah; Hassan Muwafaq Gheni (IEEE Access, 2022)

An Effective Heart Disease Detection and Severity Level Classification Model Using Machine Learning and Hyperparameter Optimization Methods. - Abdallah Abdellatif; Hamdan Abdellatef; Jeevan Kanesan; Chee-Onn Chow; Joon Huang Chuah; Hassan Muwafaq Gheni (IEEE Access, 2022)

Crack Segmentation Network using Additive Attention Gate - CSN-II. - Raza Ali; Joon Huang Chuah; Mohamad Sofian Abu Talip; Norrima Mokhtar; Muhammad Ali Shoaib (Eng. Appl. Artif. Intell., 2022)

Detecting and recognizing driver distraction through various data modality using machine learning: A review, recent advances, simplified framework and open challenges (2014-2021). - Hong Vin Koay; Joon Huang Chuah; Chee-Onn Chow; Yang-Lang Chang (Eng. Appl. Artif. Intell., 2022)

A Review of Machine Learning Network in Human Motion Biomechanics. - Wan Shi Low; Chow Khuen Chan; Joon Huang Chuah; Yee-Kai Tee; Yan Chai Hum; Maheza Irna Mohamad Salim; Khin Wee Lai (J. Grid Comput., 2022)

ACORT: A compact object relation transformer for parameter efficient image captioning. - Jia Huei Tan; Ying Hua Tan; Chee Seng Chan; Joon Huang Chuah (Neurocomputing, 2022)

Optimal Control of Cancer Chemotherapy with Delays and State Constraints. - Poh Ling Tan; Helmut Maurer; Jeevan Kanesan; Joon Huang Chuah (J. Optim. Theory Appl., 2022)

Diagnosis of optic neuritis using magnetic resonance images. - Ying Hui Tan; Li Sze Chow; Joon Huang Chuah; Khin Wee Lai (Multim. Tools Appl., 2022)

End-to-End Supermask Pruning: Learning to Prune Image Captioning Models. - Jia Huei Tan; Chee Seng Chan; Joon Huang Chuah (Pattern Recognit., 2022)

Spatial-Temporal Neural Network for Rice Field Classification from SAR Images. - Yang-Lang Chang; Tan-Hsu Tan; Tsung-Hau Chen; Joon Huang Chuah; Lena Chang; Meng-Che Wu; Narendra Babu Tatini; Shang-Chih Ma; Mohammad Alkhaleefah (Remote. Sens., 2022)

A Study on Distortion Estimation Based on Image Gradients. - Sin Chee Chin; Chee-Onn Chow; Jeevan Kanesan; Joon Huang Chuah (Sensors, 2022)

Inter-Multilevel Super-Orthogonal Space-Time Coding Scheme for Reliable ZigBee-Based IoMT Communications. - Shang-Chih Ma; Mohammad Alkhaleefah; Yang-Lang Chang; Joon Huang Chuah; Wen-Yen Chang; Chiung-Shen Ku; Meng-Che Wu; Lena Chang (Sensors, 2022)

Addressing Location Dependency in Human Activity Recognition Using Channel State Information via 3D- CWT Approach. - Fahd Abuhoureyah; Yan Chiew Wong; Ahmad Sadhiqin Bin Mohd Isira; Joon Huang Chuah (IICAIET, 2023)

Contrastive-Regularized U-Net for Video Anomaly Detection. - Kian Yu Gan; Yu Tong Cheng; Hung-Khoon Tan; Hui-Fuang Ng; Maylor Karhang Leung; Joon Huang Chuah (IEEE Access, 2023)

Detection of Basal Stem Rot Disease Using Deep Learning. - Yu Hong Haw; Yan Chai Hum; Joon Huang Chuah; Wingates Voon; Siti Khairunniza-Bejo; Nur Azuan Husin; Lip Yee Por; Khin Wee Lai (IEEE Access, 2023)

Campus Abnormal Behavior Recognition With Temporal Segment Transformers. - Hai Chuan Liu; Joon Huang Chuah; Anis Salwa Mohd Khairuddin; Xian Min Zhao; Xiao Dan Wang (IEEE Access, 2023)

Coarse-to-Fine Context Aggregation Network for Vehicle Make and Model Recognition. - Shi Hao Tan; Joon Huang Chuah; Chee-Onn Chow; Jeevan Kanesan (IEEE Access, 2023)

Spatially Recalibrated Convolutional Neural Network for Vehicle Type Recognition. - Shi Hao Tan; Joon Huang Chuah; Chee-Onn Chow; Jeevan Kanesan (IEEE Access, 2023)

Classification of basal stem rot using deep learning: a review of digital data collection and palm disease classification methods. - Yu Hong Haw; Khin Wee Lai; Joon Huang Chuah; Siti Khairunniza-Bejo; Nur Azuan Husin; Yan Chai Hum; Lip Yee Por; Clarence Augustine Th Tee; Xin Ye; Xiang Wu (PeerJ Comput. Sci., 2023)

Research on Road Environmental Sense Method of Intelligent Vehicle Based on Tracking Check. - Yi Han 004; Bi-Yao Wang; Tian Guan; Di Tian; Guangfeng Yang; Wei Wei 006; Hongbo Tang; Joon Huang Chuah (IEEE Trans. Intell. Transp. Syst., 2023)

Conventional machine learning and deep learning in Alzheimer's disease diagnosis using neuroimaging: A review. - Zhen Zhao; Joon Huang Chuah; Khin Wee Lai; Chee-Onn Chow; Munkhjargal Gochoo; Samiappan Dhanalakshmi; Na Wang; Wei Bao; Xiang Wu (Frontiers Comput. Neurosci., 2023)

Lower extremity kinematics walking speed classification using long short-term memory neural frameworks. - Wan Shi Low; Kheng Yee Goh; Sim Kuan Goh; Chen-Hua Yeow; Khin Wee Lai; Siew-Li Goh; Joon Huang Chuah; Chow Khuen Chan (Multim. Tools Appl., 2023)

Sentiment Analysis and Sarcasm Detection using Deep Multi-Task Learning. - Yik Yang Tan; Chee-Onn Chow; Jeevan Kanesan; Joon Huang Chuah; YongLiang Lim (Wirel. Pers. Commun., 2023)

Communication and computation efficiency in Federated Learning: A survey. - Omair Rashed Abdulwareth Almanifi; Chee-Onn Chow; Mau-Luen Tham; Joon Huang Chuah; Jeevan Kanesan (Internet Things, 2023)

An Energy Sampling Replay-Based Continual Learning Framework. - Xingzhong Zhang; Joon Huang Chuah; Chu Kiong Loo; Stefan Wermter (ICANN (2), 2024)

Segmentation of Overlapping Cells in Cervical Cytology Images: A Survey. - E. Chen; Hua-Nong Ting; Joon Huang Chuah; Jun Zhao 010 (IEEE Access, 2024)

Unsupervised Feature-Preserving CycleGAN for Fault Diagnosis of Rolling Bearings Using Unbalanced Infrared Thermal Imaging Sample. - Lujiale Guo; Joon Huang Chuah; Wong Jee Keen Raymond; Xiaohui Gu; Jie Yao; Xiangqian Chang (IEEE Access, 2024)

Privacy Aware Feature Level Domain Adaptation for Training Deep Vision Models With Private Medical Stethoscope Dataset. - Kyungchae Lee; Ying Hui Tan; Joon Huang Chuah; Chan-Hyun Youn (IEEE Access, 2024)

HCMT: A Novel Hierarchical Cross-Modal Transformer for Recognition of Abnormal Behavior. - Hai Chuan Liu; Anis Salwa Mohd Khairuddin; Joon Huang Chuah; Xian Min Zhao; Xiao Dan Wang; Li Ming Fang (IEEE Access, 2024)

ShadowMamba: State-Space Model with Boundary-Region Selective Scan for Shadow Removal. - Xiujin Zhu; Chee-Onn Chow; Joon Huang Chuah (CoRR, 2024)

Artificial intelligent systems for vehicle classification: A survey. - Shi Hao Tan; Joon Huang Chuah; Chee-Onn Chow; Jeevan Kanesan; HungYang Leong (Eng. Appl. Artif. Intell., 2024)

Machine learning approaches in comparative studies for Alzheimer's diagnosis using 2D MRI slices. - Zhen Zhao; Joon Huang Chuah; Chee-Onn Chow; Kaijian Xia; Yee-Kai Tee; Yan Chai Hum; Khin Wee Lai (Turkish J. Electr. Eng. Comput. Sci., 2024)

From darkness to clarity: A comprehensive review of contemporary image shadow removal research (2017-2023). - Xiujin Zhu; Chee-Onn Chow; Joon Huang Chuah (Image Vis. Comput., 2024)

Computational detection and interpretation of heart disease based on conditional variational auto-encoder and stacked ensemble-learning framework. - Abdallah Abdellatif; Hamza Mubarak; Hamdan Abdellatef; Jeevan Kanesan; Yahya Abdelltif; Chee-Onn Chow; Joon Huang Chuah; Hassan Muwafaq Gheni; Graham Kendall (Biomed. Signal Process. Control., 2024)

An intelligent mangosteen grading system based on an improved convolutional neural network. - Yinping Zhang; Anis Salwa Mohd Khairuddin; Joon Huang Chuah; Xuewei Zhao; Junwei Huang (Signal Image Video Process., 2024)

SAFH-Net: A Hybrid Network With Shuffle Attention and Adaptive Feature Fusion for Enhanced Retinal Vessel Segmentation. - Yang Zhou Ling Ou; Joon Huang Chuah; Hua Nong Ting; Shier Nee Saw; Jun Zhao 010 (IEEE Access, 2025)

Cross-Modal Semantic Relations Enhancement With Graph Attention Network for Image-Text Matching. - Xiaocong Xi; Chee-Onn Chow; Joon Huang Chuah; Jeevan Kanesan (IEEE Access, 2025)

A Review of Short-Term, Long-Term, and Memory Consolidation Mechanisms in the Hippocampus and Cerebral Cortex. - Zuomin Yang; Anis Salwa Mohd Khairuddin; Joon Huang Chuah; Wei Ru Wong; Hafiz Muhammad Fahad Noman; Tri Wahyu Oktaviana Putri; Xin Xu; Md Minhazul Haq (IEEE Access, 2025)

Enhancing Task-Incremental Learning via a Prompt-Based Hybrid Convolutional Neural Networks (CNNs)-Vision Transformer (ViT) Framework. - Zuomin Yang; Anis Salwa Mohd Khairuddin; Joon Huang Chuah; Wei Ru Wong; Xin Xu; Hafiz Muhammad Fahad Noman; Qiyuan Qin (IEEE Access, 2025)

Constrained optimal control drug scheduling models with different toxicity metabolism in cancer chemotherapy. - Emad Abdullah Musleh; Jeevan Kanesan; Joon Huang Chuah; Anand Ramanathan (Biomed. Signal Process. Control., 2025)

An intelligent grading system for mangosteen based on improved convolutional neural network. - Yinping Zhang; Joon Huang Chuah (Knowl. Based Syst., 2025)

A progressive attention-based cross-modal fusion network for cardiovascular disease detection using synchronized electrocardiogram and phonocardiogram signals. - Wei Peng Li; Joon Huang Chuah; Guo Jeng Tan; Chengyu Liu; Hua-Nong Ting (PeerJ Comput. Sci., 2025)

Novel multimodal contrast learning framework using zero-shot prediction for abnormal behavior recognition. - Hai Chuan Liu; Anis Salwa Mohd Khairuddin; Joon Huang Chuah; Xian Min Zhao; Xiao Dan Wang; Li Ming Fang; Si Bo Kong (Appl. Intell., 2025)

Nonautonomous Single Inertial Neuron Model: Coexisting Patterns, Hamilton Energy, and Analog Circuit Implementation. - Shuang Zhao; Joon Huang Chuah; Anis Salwa Mohd Khairuddin; Yunzhen Zhang; Chengjie Chen (Int. J. Bifurc. Chaos, 2025)

Cross-Granularity Network for Vehicle Make and Model Recognition. - Shi Hao Tan; Joon Huang Chuah; Chee-Onn Chow; Jeevan Kanesan (IEEE Trans. Intell. Transp. Syst., 2025)

Active continual learning with Energy Alignment Sampling Strategy (EASS) for structural damage classification. - Xingzhong Zhang; Chu Kiong Loo; Joon Huang Chuah (Appl. Intell., 2025)