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ORCIDWai Lok Woo
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- affiliation: Newcastle University, UK
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2020 – today
- 2025
[j118]Jialou Wang
, Honglei Li, Wai Lok Woo, Shan Shan:
A single modality apparent first impression personality recognition model with temporal emotion based LSTM. Expert Syst. Appl. 259: 125114 (2025)- 2024
- [j117]Ahmed A. Mohammed, Sohaib R. Awad, Mohammed A. M. Abdullah, Ersin Elbasi, Wai Lok Woo:
Quantifying the Impact of Watermarking on Deep Learning Accuracy in Medical Image Classification. IEEE Access 12: 162040-162061 (2024) - [j116]Ignacio Rodríguez-Rodríguez, María Campo-Valera, José-Víctor Rodríguez, Wai Lok Woo:
IoMT innovations in diabetes management: Predictive models using wearable data. Expert Syst. Appl. 238(Part C): 121994 (2024) - [j115]Pingfan Wang, Hang Yu, Nanlin Jin, Duncan Davies, Wai Lok Woo:
QuadCDD: A Quadruple-based Approach for Understanding Concept Drift in Data Streams. Expert Syst. Appl. 238(Part E): 122114 (2024) - [j114]Jialou Wang, Manli Zhu, Yulei Li, Honglei Li, Longzhi Yang, Wai Lok Woo:
Detect2Interact: Localizing Object Key Field in Visual Question Answering with LLMs. IEEE Intell. Syst. 39(3): 35-44 (2024) - [j113]SeyedehRoksana Mirzaei, Hua Mao, Raid Rafi Omar Al-Nima, Wai Lok Woo:
Explainable AI Evaluation: A Top-Down Approach for Selecting Optimal Explanations for Black Box Models. Inf. 15(1): 4 (2024) - [j112]Shiraz S. Kaderuppan, Anurag Sharma, Muhammad Ramadan Saifuddin, Wai Leong Eugene Wong, Wai Lok Woo:
Θ-Net: A Deep Neural Network Architecture for the Resolution Enhancement of Phase-Modulated Optical Micrographs In Silico. Sensors 24(19): 6248 (2024) - [j111]Anthony Ashwin Peter Chazhoor, Edmond S. L. Ho, Bin Gao, Wai Lok Woo:
A Review and Benchmark on State-of-the-Art Steel Defects Detection. SN Comput. Sci. 5(1): 114 (2024) - [j110]Yukuan Kang, Lei Liu, Bin Gao, Jiacheng Li, Yu Zeng, Wai Lok Woo:
Automated Thermography Cognitive Sensing-Feedback Inspection for Large Irregular Sample. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - [j109]Jiacheng Li, Bin Gao, Wai Lok Woo, Jieyi Xu, Lei Liu, Yu Zeng:
A Novel Multispectral Fusion Defect Detection Framework With Coarse-to-Fine Multispectral Registration. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j108]Tongle Wu, Bin Gao, Jicong Fan, Jize Xue, Wai Lok Woo:
Low-Rank Tensor Completion Based on Self-Adaptive Learnable Transforms. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8826-8838 (2024) - [c96]Vaigai Nayaki Yokar, Hoa Le Minh, Zabih Ghassemlooy, Wai Lok Woo:
Data Detection Technique for Screen-to-Camera Based Optical Camera Communications. CSNDSP 2024: 233-237 - [c95]Jacob Sanderson, Hua Mao, Naruephorn Tengtrairat, Raid Rafi Omar Al-Nima, Wai Lok Woo:
Explainable Deep Semantic Segmentation for Flood Inundation Mapping with Class Activation Mapping Techniques. ICAART (3) 2024: 1028-1035 - [c94]Ziwen Zhu, Liying Yang, Shengfeng Qin, Chenyu Ge, Kai Xu, Wai Lok Woo, Alyson Dodd:
Exploring Smart Office Design with Multimodal and Multi-users Interaction for Workers' Well-Being and Productivity. ICAC 2024: 1-6 - [c93]Nicolás Gallego-Molina, Andrés Ortiz, Marco A. Formoso, Francisco Jesús Martínez-Murcia, Wai Lok Woo:
Enhancing Neuronal Coupling Estimation by NIRS/EEG Integration. IWINAC 2024: 24-33 - [c92]Anthony Ashwin Peter Chazhoor, Shanfeng Hu, Bin Gao, Wai Lok Woo:
MDC-Net: Multimodal Detection and Captioning Network for Steel Surface Defects. ROBOVIS 2024: 316-333 - [i13]Zoe Moorton, Zeyneb Kurt, Wai Lok Woo:
State of the art applications of deep learning within tracking and detecting marine debris: A survey. CoRR abs/2403.18067 (2024) - [i12]Jialou Wang, Manli Zhu, Yulei Li, Honglei Li, Longzhi Yang, Wai Lok Woo:
Detect2Interact: Localizing Object Key Field in Visual Question Answering (VQA) with LLMs. CoRR abs/2404.01151 (2024) - 2023
- [j107]Rebeen Ali Hamad, Longzhi Yang, Wai Lok Woo, Bo Wei:
ConvNet-based performers attention and supervised contrastive learning for activity recognition. Appl. Intell. 53(8): 8809-8825 (2023) - [j106]Ignacio Rodríguez-Rodríguez, Andrés Ortiz, Nicolás Gallego-Molina, Marco A. Formoso, Wai Lok Woo:
EEG Interchannel Causality to Identify Source/Sink Phase Connectivity Patterns in Developmental Dyslexia. Int. J. Neural Syst. 33(4): 2350020:1-2350020:18 (2023) - [j105]Musab T. S. Al-Kaltakchi, Ahmad Saeed Mohammad, Wai Lok Woo:
Ensemble System of Deep Neural Networks for Single-Channel Audio Separation. Inf. 14(7): 352 (2023) - [j104]Jacob Sanderson, Hua Mao, Mohammed A. M. Abdullah, Raid Rafi Omar Al-Nima, Wai Lok Woo:
Optimal Fusion of Multispectral Optical and SAR Images for Flood Inundation Mapping through Explainable Deep Learning. Inf. 14(12): 660 (2023) - [j103]Pingfan Wang, Nanlin Jin, Duncan Davies, Wai Lok Woo:
Model-centric transfer learning framework for concept drift detection. Knowl. Based Syst. 275: 110705 (2023) - [j102]Gaige Ru, Bin Gao, Dong Liu, Qiuping Ma, Haoran Li, Wai Lok Woo:
Structural Coupled Electromagnetic Sensing of Defects Diagnostic System. IEEE Trans. Ind. Electron. 70(1): 951-964 (2023) - [j101]Hewu Xu, Yupei Yang, Bin Gao, Xiangyu Zhao, Wai Lok Woo:
Multilayer Feature Boosting Framework for Pipeline Inspection Using an Intelligent Pig System. IEEE Trans. Ind. Informatics 19(7): 8406-8417 (2023) - [j100]Haoran Li, Bin Gao, Xiaolong Lu, Xiyuan Zhang, Yunhan Shi, Gaige Ru, Wai Lok Woo:
Dynamic Rail Near-Surface Inspection of Multiphysical Coupled Electromagnetic and Thermography Sensing System. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [j99]Gaige Ru, Bin Gao, Qin Tang, Shiqiang Jiang, Yong Zhang, Fei Luo, Wai Lok Woo:
Electromagnetic Coupling Sensing of Pipe In-Line Inspection System. IEEE Trans. Instrum. Meas. 72: 1-15 (2023) - [j98]Daili Yang, Bin Gao, Wai Lok Woo, Houlai Wen, Yihong Zhao, Zhao Gao:
Wearable Structured Mental-Sensing-Graph Measurement. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [c91]Vaigai Nayaki Yokar, Hoa Le Minh, Zabih Ghassemlooy, Othman Isam Younus, Luís Nero Alves, Wai Lok Woo, Turky Almutairi:
Smartphone Beam Profile in a Screen-to-Camera-Based Optical Communication System. ConTEL 2023: 1-6 - [c90]Adam Robson, Kamlesh Mistry, Wai Lok Woo:
A Novel Group-Based Firefly Algorithm with Adaptive Intensity Behaviour. ICAART (1) 2023: 233-239 - [c89]Jie Chen, Hua Mao, Wai Lok Woo, Xi Peng:
Deep Multiview Clustering by Contrasting Cluster Assignments. ICCV 2023: 16706-16715 - [c88]Albert Ji, Yang Thee Quek, Wai Lok Woo, Eugene Wong:
Experimental Investigations of a Convolutional Neural Network Model for Detecting Railway Track Anomalies. IECON 2023: 1-7 - [i11]Ignacio Rodríguez-Rodríguez, Andrés Ortiz, Nicolás Gallego-Molina, Marco A. Formoso, Wai Lok Woo:
Neural source/sink phase connectivity in developmental dyslexia by means of interchannel causality. CoRR abs/2301.00552 (2023) - [i10]Jie Chen, Hua Mao, Wai Lok Woo, Xi Peng:
Deep Multiview Clustering by Contrasting Cluster Assignments. CoRR abs/2304.10769 (2023) - [i9]Rebeen Ali Hamad, Wai Lok Woo, Bo Wei, Longzhi Yang:
Overview of Human Activity Recognition Using Sensor Data. CoRR abs/2309.07170 (2023) - [i8]Daniel S. Roll, Zeyneb Kurt, Wai Lok Woo:
CosmosDSR - a methodology for automated detection and tracking of orbital debris using the Unscented Kalman Filter. CoRR abs/2310.17158 (2023) - [i7]Jie Chen, Zhiming Li, Hua Mao, Wai Lok Woo, Xi Peng:
Cross-View Graph Consistency Learning for Invariant Graph Representations. CoRR abs/2311.11821 (2023) - 2022
- [j97]Daniel Organisciak, Hubert P. H. Shum, Ephraim Nwoye, Wai Lok Woo:
RobIn: A robust interpretable deep network for schizophrenia diagnosis. Expert Syst. Appl. 201: 117158 (2022) - [j96]Yunus Emre Çelik, Samuel Stuart, Wai Lok Woo, Ervin Sejdic, Alan Godfrey:
Multi-modal gait: A wearable, algorithm and data fusion approach for clinical and free-living assessment. Inf. Fusion 78: 57-70 (2022) - [j95]Yiwei Zhang, Bin Gao, Daili Yang, Wai Lok Woo, Houlai Wen:
Online Learning of Wearable Sensing for Human Activity Recognition. IEEE Internet Things J. 9(23): 24315-24327 (2022) - [j94]Pingfan Wang, Nanlin Jin, Wai Lok Woo, John R. Woodward, Duncan Davies:
Noise tolerant drift detection method for data stream mining. Inf. Sci. 609: 1318-1333 (2022) - [j93]Bin Gao, Wai Lok Woo, Guiyun Tian:
Sensors, Signal, and Artificial Intelligent Processing. J. Sensors 2022: 1-5 (2022) - [j92]Ju Xiang, Ao Bo Zhao, Gui Yun Tian, Wai Lok Woo, Lingxiu Liu, Hang Li:
Prospective RFID Sensors for the IoT Healthcare System. J. Sensors 2022: 1-19 (2022) - [j91]Naruephorn Tengtrairat, Wai Lok Woo, Phetcharat Parathai, Damrongsak Rinchumphu, Chatchawan Chaichana:
Non-Intrusive Fish Weight Estimation in Turbid Water Using Deep Learning and Regression Models. Sensors 22(14): 5161 (2022) - [j90]Yunus Emre Çelik, Muhammet Fatih Aslan, Kadir Sabanci, Samuel Stuart, Wai Lok Woo, Alan Godfrey:
Improving Inertial Sensor-Based Activity Recognition in Neurological Populations. Sensors 22(24): 9891 (2022) - [j89]José-Víctor Rodríguez, Ignacio Rodríguez-Rodríguez, Wai Lok Woo:
On the application of machine learning in astronomy and astrophysics: A text-mining-based scientometric analysis. WIREs Data Mining Knowl. Discov. 12(5) (2022) - [c87]Vaigai Nayaki Yokar, Hoa Le Minh, Fary Ghassemlooy, Wai Lok Woo:
A Novel Blur Reduction Technique For QR And ASCII Coding In Smartphone Visible Light Communications. CSNDSP 2022: 428-433 - [c86]Yunus Emre Çelik, Samuel Stuart, Wai Lok Woo, Liam T. Pearson, Alan Godfrey:
Exploring human activity recognition using feature level fusion of inertial and electromyography data. EMBC 2022: 1766-1769 - [c85]Pingfan Wang, Wai Lok Woo, Nanlin Jin, Duncan Davies:
Concept Drift Detection by Tracking Weighted Prediction Confidence of Incremental Learning. IVSP 2022: 218-223 - [c84]Ngiap Tiam Koh, Anurag Sharma, Jianfang Xiao, Xiaoyang Peng, Wai Lok Woo:
Solar Irradiance Forecast using Long Short-Term Memory: A Comparative Analysis of Different Activation Functions. SSCI 2022: 1096-1101 - [c83]Rebeen Ali Hamad, Wai Lok Woo, Bo Wei, Longzhi Yang:
Overview of Human Activity Recognition Using Sensor Data. UKCI 2022: 380-391 - [e1]Ebad Banissi, Anna Ursyn, Mark W. McK. Bannatyne, João Moura Pires, Nuno Datia, Kawa Nazemi, Boris Kovalerchuk, Razvan Andonie, Minoru Nakayama, Filippo Sciarrone, Weidong Huang, Quang Vinh Nguyen, Mabule Samuel Mabakane, Adrian Rusu, Marco Temperini, Urska Cvek, Marjan Trutschl, Heimo Müller, Harri Siirtola, Wai Lok Woo, Rita Francese, Veronica Rossano, Tania Di Mascio, Fatma Bouali, Gilles Venturini, Sebastian Kernbach, Delfina Malandrino, Rocco Zaccagnino, Jian J. Zhang, Xiaosong Yang, Vladimir Geroimenko:
26th International Conference Information Visualisation, IV 2022, Vienna, Austria, July 19-22, 2022. IEEE 2022, ISBN 978-1-6654-9007-8 [contents] - [i6]Sai Prasanth Kadiyala, Wai Lok Woo:
Flood Prediction and Analysis on the Relevance of Features using Explainable Artificial Intelligence. CoRR abs/2201.05046 (2022) - [i5]Daniel Organisciak, Hubert P. H. Shum, Ephraim Nwoye, Wai Lok Woo:
RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis. CoRR abs/2203.17085 (2022) - [i4]Vidya Rohini Konanur Sathish, Wai Lok Woo, Edmond S. L. Ho:
Predicting Sleeping Quality using Convolutional Neural Networks. CoRR abs/2204.13584 (2022) - [i3]Olalekan Ogundipe, Zeyneb Kurt, Wai Lok Woo:
Deep Neural Networks integrating genomics and histopathological images for predicting stages and survival time-to-event in colon cancer. CoRR abs/2212.06834 (2022) - 2021
- [j88]Raid Rafi Omar Al-Nima, Tingting Han, Saadoon A. M. Al-Sumaidaee, Taolue Chen, Wai Lok Woo:
Robustness and performance of Deep Reinforcement Learning. Appl. Soft Comput. 105: 107295 (2021) - [j87]Musab T. S. Al-Kaltakchi, Mohammed A. M. Abdullah, Wai Lok Woo, Satnam Singh Dlay:
Combined i-Vector and Extreme Learning Machine Approach for Robust Speaker Identification and Evaluation with SITW 2016, NIST 2008, TIMIT Databases. Circuits Syst. Signal Process. 40(10): 4903-4923 (2021) - [j86]Rebeen Ali Hamad, Masashi Kimura, Longzhi Yang, Wai Lok Woo, Bo Wei:
Dilated causal convolution with multi-head self attention for sensor human activity recognition. Neural Comput. Appl. 33(20): 13705-13722 (2021) - [j85]Bee Hock David Koh, Ching Leng Peter Lim, Hasnae Rahimi, Wai Lok Woo, Bin Gao:
Deep Temporal Convolution Network for Time Series Classification. Sensors 21(2): 603 (2021) - [j84]Naruephorn Tengtrairat, Wai Lok Woo, Phetcharat Parathai, Chuchoke Aryupong, Peerapong Jitsangiam, Damrongsak Rinchumphu:
Automated Landslide-Risk Prediction Using Web GIS and Machine Learning Models. Sensors 21(13): 4620 (2021) - [j83]Yunus Emre Çelik, Samuel Stuart, Wai Lok Woo, Alan Godfrey:
Wearable Inertial Gait Algorithms: Impact of Wear Location and Environment in Healthy and Parkinson's Populations. Sensors 21(19): 6476 (2021) - [j82]Tiong Teck Teo, Thillainathan Logenthiran, Wai Lok Woo, Khalid Abidi, Thomas John, Neal S. Wade, David M. Greenwood, Charalampos Patsios, Philip C. Taylor:
Optimization of Fuzzy Energy-Management System for Grid-Connected Microgrid Using NSGA-II. IEEE Trans. Cybern. 51(11): 5375-5386 (2021) - [j81]Junaid Ahmed, Bin Gao, Wai Lok Woo, Yuyu Zhu:
Ensemble Joint Sparse Low-Rank Matrix Decomposition for Thermography Diagnosis System. IEEE Trans. Ind. Electron. 68(3): 2648-2658 (2021) - [j80]Junaid Ahmed, Bin Gao, Wai Lok Woo:
Sparse Low-Rank Tensor Decomposition for Metal Defect Detection Using Thermographic Imaging Diagnostics. IEEE Trans. Ind. Informatics 17(3): 1810-1820 (2021) - [j79]Haoran Li, Bin Gao, Ling Miao, Dong Liu, Qiu Ping Ma, Guiyun Tian, Wai Lok Woo:
Multiphysics Structured Eddy Current and Thermography Defects Diagnostics System in Moving Mode. IEEE Trans. Ind. Informatics 17(4): 2566-2578 (2021) - [j78]Bozhen Hu, Bin Gao, Wai Lok Woo, Lingfeng Ruan, Jikun Jin, Yang Yang, Yongjie Yu:
A Lightweight Spatial and Temporal Multi-Feature Fusion Network for Defect Detection. IEEE Trans. Image Process. 30: 472-486 (2021) - [j77]Tiong Teck Teo, Logenthiran Thillainathan, Wai Lok Woo, Khalid Abidi:
Intelligent Controller for Energy Storage System in Grid-Connected Microgrid. IEEE Trans. Syst. Man Cybern. Syst. 51(1): 650-658 (2021) - [c82]Kevin D. McCay, Edmond S. L. Ho, Dimitrios Sakkos, Wai Lok Woo, Claire Marcroft, Patricia Dulson, Nicholas D. Embleton:
Towards Explainable Abnormal Infant Movements Identification: A Body-part Based Prediction and Visualisation Framework. BHI 2021: 1-4 - [c81]Yunus Emre Çelik, Dylan Powell, Wai Lok Woo, Samuel Stuart, Alan Godfrey:
Developing and exploring a methodology for multi-modal indoor and outdoor gait assessment. EMBC 2021: 6759-6762 - [c80]Tongle Wu, Bin Gao, Wai Lok Woo:
Sliced Sparsity Measure For Tensor To Multispectral Image Denoising. ICIP 2021: 3817-3821 - [c79]Anthony Ashwin Peter Chazhoor, Manli Zhu, Edmond S. L. Ho, Bin Gao, Wai Lok Woo:
Intelligent Classification of Different Types of Plastics using Deep Transfer Learning. ROBOVIS 2021: 190-195 - [i2]Kevin D. McCay, Edmond S. L. Ho, Dimitrios Sakkos, Wai Lok Woo, Claire Marcroft, Patricia Dulson, Nicholas D. Embleton:
Towards Explainable Abnormal Infant Movements Identification: A Body-part Based Prediction and Visualisation Framework. CoRR abs/2106.04966 (2021) - [i1]Zoe Moorton, Zeyneb Kurt, Wai Lok Woo:
Is the use of Deep Learning and Artificial Intelligence an appropriate means to locate debris in the ocean without harming aquatic wildlife? CoRR abs/2112.00190 (2021) - 2020
- [j76]Jikun Jin, Bin Gao, Sihao Yang, Bingmei Zhao, Lizhu Luo, Wai Lok Woo:
Attention-Block Deep Learning Based Features Fusion in Wearable Social Sensor for Mental Wellbeing Evaluations. IEEE Access 8: 89258-89268 (2020) - [j75]Shiraz S. Kaderuppan, Wai Leong Eugene Wong, Anurag Sharma, Wai Lok Woo:
Smart Nanoscopy: A Review of Computational Approaches to Achieve Super-Resolved Optical Microscopy. IEEE Access 8: 214801-214831 (2020) - [j74]Lingfeng Ruan, Bin Gao, Shichun Wu, Wai Lok Woo:
DeftectNet: Joint loss structured deep adversarial network for thermography defect detecting system. Neurocomputing 417: 441-457 (2020) - [j73]Wai Lok Woo:
Future trends in I&M: Human-machine co-creation in the rise of AI. IEEE Instrum. Meas. Mag. 23(2): 71-73 (2020) - [j72]Yang Thee Quek, Wai Lok Woo, Logenthiran Thillainathan:
IoT Load Classification and Anomaly Warning in ELV DC Picogrids Using Hierarchical Extended k-Nearest Neighbors. IEEE Internet Things J. 7(2): 863-873 (2020) - [j71]Wai Lok Woo, Bin Gao:
Sensor Signal and Information Processing II. Sensors 20(13): 3751 (2020) - [j70]Phetcharat Parathai, Naruephorn Tengtrairat, Wai Lok Woo, Mohammed A. M. Abdullah, Gholamreza Rafiee, Ossama Alshabrawy:
Efficient Noisy Sound-Event Mixture Classification Using Adaptive-Sparse Complex-Valued Matrix Factorization and OvsO SVM. Sensors 20(16): 4368 (2020) - [j69]Wai Lok Woo, Bin Gao:
Sensor Signal and Information Processing III. Sensors 20(23): 6749 (2020) - [j68]Yang Thee Quek, Wai Lok Woo, Thillainathan Logenthiran:
Load Disaggregation Using One-Directional Convolutional Stacked Long Short-Term Memory Recurrent Neural Network. IEEE Syst. J. 14(1): 1395-1404 (2020) - [c78]Wai Lok Woo, Bee Hock David Koh, Bin Gao, Ephram Nwoye, Bo Wei, Satnam Singh Dlay:
Early Warning of Health Condition and Visual Analytics for Multivariable Vital Signs. CNIOT 2020: 206-211 - [c77]Yunus Emre Çelik, Dylan Powell, Wai Lok Woo, Samuel Stuart, Alan Godfrey:
A feasibility study towards instrumentation of the Sport Concussion Assessment Tool (iSCAT). EMBC 2020: 4624-4627
2010 – 2019
- 2019
- [j67]Bee Hock David Koh, Wai Lok Woo:
Multi-View Temporal Ensemble for Classification of Non-Stationary Signals. IEEE Access 7: 32482-32491 (2019) - [j66]Muhammad Ramadan Bin Mohamad Saifuddin, Thillainathan Logenthiran, R. T. Naayagi, Wai Lok Woo:
A Nano-Biased Energy Management Using Reinforced Learning Multi-Agent on Layered Coalition Model: Consumer Sovereignty. IEEE Access 7: 52542-52564 (2019) - [j65]Phetcharat Parathai, Naruephorn Tengtrairat, Wai Lok Woo, Bin Gao:
Single-Channel Signal Separation Using Spectral Basis Correlation with Sparse Nonnegative Tensor Factorization. Circuits Syst. Signal Process. 38(12): 5786-5816 (2019) - [j64]Sihao Yang, Bin Gao, Long Jiang, Jikun Jin, Zhao Gao, Xiaole Ma, Wai Lok Woo:
IoT Structured Long-Term Wearable Social Sensing for Mental Wellbeing. IEEE Internet Things J. 6(2): 3652-3662 (2019) - [j63]Weixian Li, Thillainathan Logenthiran, Van-Tung Phan, Wai Lok Woo:
A Novel Smart Energy Theft System (SETS) for IoT-Based Smart Home. IEEE Internet Things J. 6(3): 5531-5539 (2019) - [j62]Cheng Siong Chin, Xi Ji, Wai Lok Woo, Kwee Tiaw Joo, Wenxian Yang:
Modified multiple generalized regression neural network models using fuzzy C-means with principal component analysis for noise prediction of offshore platform. Neural Comput. Appl. 31(4): 1127-1142 (2019) - [j61]Bo Wei, Rebeen Ali Hamad, Longzhi Yang, Xuan He, Hao Wang, Bin Gao, Wai Lok Woo:
A Deep-Learning-Driven Light-Weight Phishing Detection Sensor. Sensors 19(19): 4258 (2019) - [j60]Muhammad Ramadan Bin Mohamad Saifuddin, Thillainathan Logenthiran, R. T. Naayagi, Wai Lok Woo:
Apprehending Fault Crises for an Autogenous Nanogrid System: Sustainable Buildings. IEEE Syst. J. 13(3): 3254-3265 (2019) - [j59]Ching Leng Peter Lim, Wai Lok Woo, Satnam Singh Dlay, Bin Gao:
Heartrate-Dependent Heartwave Biometric Identification With Thresholding-Based GMM-HMM Methodology. IEEE Trans. Ind. Informatics 15(1): 45-53 (2019) - [j58]Ching Leng Peter Lim, Wai Lok Woo, Satnam Singh Dlay, Di Wu, Bin Gao:
Deep Multiview Heartwave Authentication. IEEE Trans. Ind. Informatics 15(2): 777-786 (2019) - [j57]Junaid Ahmed, Bin Gao, Wai Lok Woo:
Wavelet-Integrated Alternating Sparse Dictionary Matrix Decomposition in Thermal Imaging CFRP Defect Detection. IEEE Trans. Ind. Informatics 15(7): 4033-4043 (2019) - 2018
- [j56]Yuanpeng Chen, Bin Gao, Long Jiang, Kai Yin, Jun Gu, Wai Lok Woo:
Transfer Learning for Wearable Long-Term Social Speech Evaluations. IEEE Access 6: 61305-61316 (2018) - [j55]Wai Lok Woo, Satnam Singh Dlay, Ahmed Al-Tmeme, Bin Gao:
Reverberant signal separation using optimized complex sparse nonnegative tensor deconvolution on spectral covariance matrix. Digit. Signal Process. 83: 9-23 (2018) - [j54]Susanto B. Sulistyo, Wai Lok Woo, Satnam Singh Dlay, Bin Gao:
Building a Globally Optimized Computational Intelligent Image Processing Algorithm for On-Site Inference of Nitrogen in Plants. IEEE Intell. Syst. 33(3): 15-26 (2018) - [j53]Xiao-Zhi Zhang, Bingo Wing-Kuen Ling, Ran Tao, Zhijing Yang, Wai Lok Woo, Saeid Sanei, Kok Lay Teo:
Optimal design of orders of DFrFTs for sparse representations. IET Signal Process. 12(8): 1023-1033 (2018) - [j52]Raid Rafi Omar Al-Nima, Musab T. S. Al-Kaltakchi, Saadoon A. M. Al-Sumaidaee, Satnam Singh Dlay, Wai Lok Woo, Tingting Han, Jonathon A. Chambers:
Personal verification based on multi-spectral finger texture lighting images. IET Signal Process. 12(9): 1154-1164 (2018) - [j51]Weixian Li, Thillainathan Logenthiran, Van-Tung Phan, Wai Lok Woo:
Implemented IoT-Based Self-Learning Home Management System (SHMS) for Singapore. IEEE Internet Things J. 5(3): 2212-2219 (2018) - [j50]Wai Lok Woo, Bin Gao, Ahmed Bouridane, Bingo Wing-Kuen Ling, Cheng Siong Chin:
Unsupervised Learning for Monaural Source Separation Using Maximization-Minimization Algorithm with Time-Frequency Deconvolution. Sensors 18(5): 1371 (2018) - [j49]Susanto B. Sulistyo, Di Wu, Wai Lok Woo, Satnam Singh Dlay, Bin Gao:
Computational Deep Intelligence Vision Sensing for Nutrient Content Estimation in Agricultural Automation. IEEE Trans Autom. Sci. Eng. 15(3): 1243-1257 (2018) - [j48]Bin Gao, Peng Lu, Wai Lok Woo, Gui Yun Tian, Yuyu Zhu, Martin Johnston:
Variational Bayesian Subgroup Adaptive Sparse Component Extraction for Diagnostic Imaging System. IEEE Trans. Ind. Electron. 65(10): 8142-8152 (2018) - [j47]