Wong Yan Chiew

@ftkek.utem.edu.my

Assoc. Prof. in Computer Engineering/Faculty of Electronics and Computer Technology and Engineering
Universiti Teknikal Malaysia Melaka

Wong Yan Chiew


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https://researchid.co/yanchiew

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition
69

Scopus Publications

889

Scholar Citations

16

Scholar h-index

27

Scholar i10-index

Scopus Publications

  • Challenges and opportunities to location independent human activity recognition utilizing Wi-Fi sensing
    Fahd Abuhoureyah, Yan Chiew Wong, Malik Hasan Al-Taweel, Nihad Ibrahim Abdullah
    International Journal of Electrical and Computer Engineering, 2025
    Wireless sensing has emerged as a dynamic field with diverse applications across smart cities, healthcare, the internet of things (IoT), and virtual reality gaming. This burgeoning area capitalizes on the capacity to detect locations, activities, gestures, and vital signs by assessing their impact on ambient wireless signals. This review critically examines the prevailing challenges within wireless sensing and predicts future research trajectories. Even with the potential for nuanced signal processing facilitated by Wi-Fi propagation, its efficacy is impeded by noise interference in confined areas during transmission and reception. Consequently, this work aims to augment signal processing performance accuracy by delving into the most promising techniques and underexplored methods utilizing channel state information (CSI). Furthermore, the work offers a view into the potential of human activity recognition predicated on CSI properties. The study focusses on exploring location-independent sensing technique based on CSI, discussing relevant considerations and contemporary approaches used in Wi-Fi sensing tasks. The optimal practices in analysis are based on model design, data collection, and result interpretation. The discussions analysis investigates in detail the representative applications and outlines the major considerations of developing human activity recognition human activity recognition (HAR) based on Wi-Fi by analyzing the current critical issues of CSI-based behavior recognition methods and pointing out possible future research directions.
  • Location Independent Human Activity Recognition Using Self-Training CSI-Based Techniques for Wireless Sensor Networks
    Fahd Saad Abuhoureyah, Yan Chiew Wong
    IEEE Internet of Things Journal, 2025
    Human Activity Recognition (HAR) using WiFi is applied across various domains ranging from smart environments, the Internet of Things (IoT) and immersive virtual gaming. The environmental effects of WiFi sensing lie in its susceptibility to variations in physical surroundings, which influence signal strength and accuracy in detecting human activity.Innovative solutions are needed to meet these demands, such as activity-adapted learning for seamless feature transfer and recognition across various locations, reducing the reliance on extensive training datasets. This work proposes a framework incorporating a confidence threshold to filter unreliable samples, a progressive self-training strategy to integrate unlabeled data, and a weighted self-training approach to counter class imbalance. The proposed model explores HAR and its improved performance by integrating self-training techniques. This work enhances HAR by reconciling self-training’s potential with challenges and offering practical insights for reliable activity recognition within wireless sensor networks. The results of experiments show that the self-training method, which uses CSI-based features to train the model with unlabeled data, is up to 97.5% accurate. Additionally, experiments using HAR datasets validate the proposed method and displays performance improvements over baselines.
  • Trajectory mapping through channel state information by triangulation method and fine-tuning
    Fahd Abuhoureyah, Yan Chiew Wong, Ahmad Sadhiqin Mohd Isira
    Journal of Engineering and Applied Science, 2024
    Trajectory mapping techniques have widespread applications in diverse fields, including robotics, localization, smart environments, gaming, and tracking systems. However, existing free devices encounter challenges in representing trajectories, thereby limiting the effectiveness of applications such as robotics, localization, and tracking systems. The imprecise mappings generated by these methods lead to suboptimal performance and unreliable results. The proposed approach leverages WiFi sensing through channel state information (CSI), triangulation techniques, and a fine-tuning mechanism to enhance trajectory precision within indoor environment trajectory mapping. The proposed solution employs a domain adapter fine-tuning technique to enable location-independent tracking via CSI, minimizing errors. The use of CSI MIMO signals for trajectory mapping offers enhanced spatial resolution, robust multipath handling, and improved accuracy in tracking movement by leveraging multiple antenna channels and exploiting the rich information embedded in signal reflections and scattering, while triangulation aids in accurately determining the location of objects or targets. Furthermore, incorporating a fine-tuning mechanism refines the generated trajectories. The findings demonstrate substantial enhancements in mapping precision, with an accuracy of 95.5% in tracking 13 paths within the new domain. These results underscore the effectiveness of the proposed approach in overcoming the limitations of existing methods and achieving highly accurate trajectory mapping.
  • Neurons to heartbeats: spiking neural networks for electrocardiogram pattern recognition
    Nor Amalia Dayana Binti Mohamad Noor, Wong Yan Chiew, Zarina Mohd Noh, Ranjit Singh Sarban Singh
    Indonesian Journal of Electrical Engineering and Computer Science, 2024
    The electrocardiogram (ECG) is one of the most significant methods of diagnostics for determining heart rhythm disorders. For this study, raw ECG signals from the Physio Bank database are subjected to an important preprocessing step that uses empirical mode decomposition (EMD) on signal denoising and distortion elimination. Establishing functioning spiking neural networks (SNN) involves figuring out the neuron’s state through its activity level, challenging due to its resemblance to the human brain’s data processing, yet appealing due to factors like improved unsupervised learning methods, with ten parameters chosen for the learning algorithm of SNN. A comprehensive set of 15 different time-domain features and 10 Cepstral domain features is precisely extracted to train the SNN classifier. An extensive study is conducted to analyse the learning parameters that affect SNN performance, significantly influencing result accuracy. Through a two-classification process, the differentiation between normal and abnormal ECG patterns can be achieved in this study. A maximum testing accuracy of 91.6667% and a maximum training accuracy of 99.1667% have been attained by the process. These results demonstrate the competency of the system in distinguishing between distinct ECG classes, particularly in identifying normal and abnormal cardiac rhythms through ECG classification.
  • ENHANCING CAMPUS SECURITY AND VEHICLE MANAGEMENT WITH REAL-TIME MOBILE LICENSE PLATE READER APP UTILIZING
    Journal of Engineering Science and Technology, 2024
  • Computer vision that can ‘see’ in the dark
    Shi Yong Goh, Yan Chiew Wong, Syafeeza Ahmad Radzi, Ranjit Singh Sarban Singh
    Iaes International Journal of Artificial Intelligence, 2024
    Insufficient lighting environment has raised challenges for night shift workers’ safety monitoring. Thus, we have developed a computer vision-based algorithm recognizing 11 actions based on action recognition in dark (ARID) dataset. A hybrid model of integrating convolutional neural network (CNN) into YOLOv7 has been proposed. YOLOv7 is an algorithm designed for real-time object detection in image or video, for fast and accurate detection in applications such as autonomous vehicles and surveillance systems. In this work, video in dark environment has first been enhanced using CNN algorithm before feeding into YOLOv7 network for activity recognition. Adaptive gamma intensity correction (GIC) has been integrated to further improving the overall result. The proposed model has been evaluated over different enhancement modes. The proposed model is able to handle dark video frames with 74.95% Top-1 accuracy with fast processing speed of 93.99 ms/frame on a 4 GB RTX 3050 graphical processing unit (GPU) and 17.59 ms/frame on 16 GB Tesla T4 GPU. The base size of the proposed model is tiny, only 74.8 MB, but with 36.54 M of total parameters indicating that it has more capacity to learn more meaningful information with limited hardware resources.
  • CSI-based human activity recognition via lightweight compact convolutional transformers
    Advances in Computational Design, 2024
  • WiFi-based human activity recognition through wall using deep learning
    Fahd Saad Abuhoureyah, Yan Chiew Wong, Ahmad Sadhiqin Bin Mohd Isira
    Engineering Applications of Artificial Intelligence, 2024
  • Multi-User Human Activity Recognition Through Adaptive Location-Independent WiFi Signal Characteristics
    Fahd Abuhoureyah, Kok Swee Sim, Yan Chiew Wong
    IEEE Access, 2024
    In recent years, the remarkable advancement of WiFi sensing technologies has opened new frontiers in human activity recognition, enabling innovative solutions that transcend traditional methods and improve the capabilities of intelligent environments. Individual dynamic movements such as walking, sitting, standing, and running, as well as more complex interactions such as sports activities, are all examples of human activity. WiFi sensing has emerged as a powerful tool for human activity recognition; however, certain restrictions persist, especially when sensing activities involving multiple users across different locations. These limitations highlight the need for innovative techniques to address the intricacies of multi-user scenarios and environmental effects, ensuring the robustness and accuracy of WiFi-based sensing systems. To address multi-user effects in WiFi signals, we propose a few layering LSTM deep learning models with Raspberry Pi for edge computing solutions. The method leverages the decomposition of Channel State Information (CSI) signals through Independent Component Analysis (ICA) and Continuous Wavelet Transform (CWT). The integration of signal decomposition and deep learning holds promise for advancing WiFi sensing systems’ accuracy, reliability, and real-time capabilities in complex environments and multi-user scenarios. Experimental findings prove the system’s ability to handle complex activities with high classification accuracy. Furthermore, the system displays a remarkable ability to classify complex activities. By leveraging the power of deep learning, the model learns intricate patterns and relationships within the decomposed CSI signals, enabling it to distinguish between diverse activities with high accuracy.
  • Exploring the Adoption of IoT in Malaysian SMEs: Drivers, Barriers, and Strategic Insights
    S. Saat, M.S.M. Saad, Y.C. Wong, A. F. Othman, M.A. Othman, Z. H. Zaini, M. Othman, Z. Salakin
    2024 International Conference on Tvet Excellence and Development Icted 2024, 2024
    This research explores the adoption of Internet of Things (IoT) technologies across organizations of varying sizes and ages, with a focus on small-to-medium enterprises (SMEs) in Malaysia. The study identifies key drivers and barriers to IoT adoption, examining dimensions such as competitive pressure, government support, technical knowledge, and organizational readiness. Findings reveal that younger organizations and smaller SMEs are more proactive in adopting IoT, particularly Industrial IoT and Retail IoT, driven by efficiency needs and agility. Middle management plays a critical role in operationalizing IoT strategies, while lower staff engagement highlights gaps in inclusivity and training. Barriers such as cost, complexity, and compatibility persist, underscoring the need for targeted government incentives, sector-specific training, and scalable solutions. The results emphasize the pivotal roles of leadership, resource alignment, and external support in fostering broader and sustained IoT adoption.
  • Neuromorphic computing with hybrid CNN–Stochastic Reservoir for time series WiFi based human activity recognition
    Chia Yee Saw, Yan Chiew Wong
    Computers and Electrical Engineering, 2023
  • Free device location independent WiFi-based localisation using received signal strength indicator and channel state information
    Fahd Abuhoureyah, Wong Yan Chiew, Ahmad Sadhiqin Bin Mohd Isira, Mohammed Al‐Andoli
    Iet Wireless Sensor Systems, 2023
  • Wireless power transfer technology for biomedical implants
    Yan Chiew Wong, Ranjit Singh Sarban Singh, Syafeeza Ahmad Radzi
    Magnetic Sensors and Actuators in Medicine Materials Devices and Applications, 2023
  • Addressing Location Dependency in Human Activity Recognition Using Channel State Information via 3D- CWT Approach
    Fahd Abuhoureyah, Yan Chiew Wong, Ahmad Sadhiqin Mohd Isira, Joon Huang Chuah
    5th IEEE International Conference on Artificial Intelligence in Engineering and Technology Iicaiet 2023, 2023
  • Disease Detection of Solanaceous Crops Using Deep Learning for Robot Vision
    A. H. Nurul Hidayah, Syafeeza Ahmad Radzi, Norazlina Abdul Razak, Wira Hidayat Mohd Saad, Y. C. Wong, A. Azureen Naja
    Journal of Robotics and Control Jrc, 2022
  • Neuromorphic solutions: Digital implementation of bio-inspired spiking neural network for electrocardiogram classification
    Dze Rynn Chen, Yan Chiew Wong
    Indonesian Journal of Electrical Engineering and Computer Science, 2022
  • NEUROMORPHIC COMPUTING BASED ON STOCHASTIC SPIKING RESERVOIR FOR HEARTBEAT CLASSIFICATION
    Yan Wong
    Jordanian Journal of Computers and Information Technology, 2022
  • Secure lightweight obfuscated delay-based physical unclonable function design on FPGA
    Mohammad Haziq Ishak, Mohd Syafiq Mispan, Wong Yan Chiew, Muhammad Raihaan Kamaruddin, Mikhail Aleksandrovich Korobkov
    Bulletin of Electrical Engineering and Informatics, 2022
  • FPGA-Based Obfuscated Delay PUF for Security Enhancement Against ML-Attack
    Mohammad Haziq Bin Ishak, Mohd Syafiq Mispan, Yan Chiew Wong, Muhammad Raihaan Kamaruddin, Mikhail Korobkov
    2021 6th IEEE International Conference on Recent Advances and Innovations in Engineering Icraie 2021, 2022
  • BRAIN-INSPIRED SPIKING NEURAL NETWORKS FOR WI-FI BASED HUMAN ACTIVITY RECOGNITION
    Yee Tan, Yan Wong, Syafeeza Radzi
    Jordanian Journal of Computers and Information Technology, 2021
  • A complete design and development of a miniature battery-less power management unit for powering biomedical implant
    Journal of Engineering Science and Technology, 2021
  • Genetic Algorithms and Particle Swarm Optimization for Interference Minimization in Mobile Network Channel Assignment Problem
    Joe Keek, , Ser Loh, Yan Wong, Xiu Woo, Wei Lee, , , , and
    International Journal of Intelligent Engineering and Systems, 2021
  • Functional magnetic resonance imaging for autism spectrum disorder detection using deep learning
    R. Nur Syahindah Husna, A. R. Syafeeza, Norihan Abdul Hamid, Y. C. Wong, R. Atikah Raihan
    Jurnal Teknologi, 2021
  • IoT-based data acquisition monitoring system for solar photovoltaic panel
    Nine Pillars of Technologies for Industry 4 0, 2021
  • On-chip ultra low power optical wake-up receiver for wireless sensor nodes targeting structural health monitoring
    Chia Yee Saw, Yan Chiew Wong, Ser Lee Loh, Haoyu Zhang
    Telkomnika Telecommunication Computing Electronics and Control, 2020
  • Simulation and analysis of flexible TEG using polymer based and pyroelectric material for microdevice energy harvesting
    N A Bakhari, N A Hamid, A R Syafeeza, Y C Wong, M Ibrahim
    Journal of Physics Conference Series, 2020
  • On-chip miniaturized antenna in CMOS technology for biomedical implant
    Alphonsos A Masius, Yan Chiew Wong
    AEU International Journal of Electronics and Communications, 2020
  • Priority-based hierarchical switching charging-discharging system for continuous BESS sustainability
    International Journal of Scientific and Technology Research, 2020
  • Low power wake-up receiver based on ultrasound communication for wireless sensor network
    Yan Chiew Wong, Szi Hui Tan, Ranjit Singh Sarban Singh, Haoyu Zhang, A. R. Syafeeza, N. A. Hamid
    Bulletin of Electrical Engineering and Informatics, 2020
  • A 30mV input battery-less power management system
    Jim Hui Yap, Yan Chiew Wong
    Bulletin of Electrical Engineering and Informatics, 2019
  • Design consideration in low dropout voltage regulator for batteryless power management unit
    Bulletin of Electrical Engineering and Informatics, 2019
  • Deep learning-based racing bib number detection and recognition
    Yan WONG
    Jordanian Journal of Computers and Information Technology, 2019
  • 128 mA CMOS LDO with 108 dB PSRR at 2.4 MHz frequency
    Astrie Nurasyeila Fifie, Yan Chiew Wong
    Telkomnika Telecommunication Computing Electronics and Control, 2019
  • 3.3v DC output at-16dBm sensitivity and 77% PCE rectifier for RF energy harvesting
    Astrie Nurasyeila Fifie Asli, Yan Chiew Wong
    International Journal of Power Electronics and Drive Systems, 2019
  • Integrated cmos rectifier for rf-powered wireless sensor network nodes
    Mohammed Abdul Raheem Esmail Alselwi, Yan Chiew Wong, Zul Atfyi Fauzan Mohammed Napiah
    Bulletin of Electrical Engineering and Informatics, 2019
  • Raspberry Pi zero wireless monitoring system for analyzing solar photovoltaic panel
    International Journal of Innovative Technology and Exploring Engineering, 2019
  • A design of license plate recognition system using convolutional neural network
    P. Marzuki, A. R. Syafeeza, Y. C. Wong, N. A. Hamid, A. Nur Alisa, M. M. Ibrahim
    International Journal of Electrical and Computer Engineering, 2019
  • A new fault detection system using wireless communication - assisted with analog relays for grid electrical lamp pole network
    Journal of Theoretical and Applied Information Technology, 2019
  • Energy scavenging for mobile and wireless devices using CMOS rectifier circuit
    Y.C. Wong, C.W. Tan, S.S.S. Ranjit, A.R. Syafeeza, N. A. Hamid
    Proceedings of the IEEE International Conference on Industrial Technology, 2019
  • Design of automated computer-aided classification of brain tumor using deep learning
    Nur Alisa Ali, A. R. Syafeeza, Liow Jia Geok, Y. C. Wong, Norihan Abdul Hamid, A. S. Jaafar
    Lecture Notes in Networks and Systems, 2019
  • Review of communication methods and system design structure for solar monitoring system
    S. S. S. Ranjit, A. F. M. F. Aqil, S. S. S. Baljit, Y. C. Wong
    Aip Conference Proceedings, 2018
  • Design and development of deep learning convolutional neural network on an field programmable gate array
    Journal of Telecommunication Electronic and Computer Engineering, 2018
  • −31 dBm sensitivity high efficiency rectifier for energy scavenging
    Astrie Nurasyeila Fifie Asli, Yan Chiew Wong
    AEU International Journal of Electronics and Communications, 2018
  • -23.5dBm senstivity, 900MHz differential-drive rectifier
    Astrie Nurasyeila Fifie Asli, Yan Chiew Wong
    Proceedings International Soc Design Conference 2017 Isocc 2017, 2018
  • Miniature high gain slot-fed rectangular dielectric resonator antenna for IoT RF energy harvesting
    Alphonsos A Masius, Yan Chiew Wong, Kok Tee Lau
    AEU International Journal of Electronics and Communications, 2018
  • Implementation of Continuous Wearable Low Power Blood Glucose Level Detection using GSR Sensor
    Journal of Telecommunication Electronic and Computer Engineering, 2018
  • Tunable impedance matching network with wide impedance coverage for multi frequency standards RF front-end
    Yan Chiew Wong, Ranjit Singh Sarban Singh, Syafeeza Binti Ahmad Radzi, Norihan Binti Abdul Hamid
    AEU International Journal of Electronics and Communications, 2017
  • Parameter optimization of staircase shaped co-planar waveguide monopole antenna with modified ground plane for radio-frequency energy harvesting application
    Journal of Telecommunication Electronic and Computer Engineering, 2017
  • Autonomous mobile wheelchair powered via EOG signal recognition
    W. M. Bukhari, C. Y. Wong, A. B. Yahaya, Z. H. Bohari, M. F. Sulaima, M. H. Jali
    Isiea 2014 2014 IEEE Symposium on Industrial Electronics and Applications, 2017
  • A stack bonded thermo-pneumatic micro-pump utilizing polyimide based actuator membrane for biomedical applications
    Norihan Abdul Hamid, Burhanuddin Yeop Majlis, Jumril Yunas, A. R. Syafeeza, Yan Chiew Wong, Mazree Ibrahim
    Microsystem Technologies, 2017
  • Evaluation of charge transfer blocks in CP circuit topologies
    Journal of Telecommunication Electronic and Computer Engineering, 2017
  • Road triangle detection for non-road area elimination using lane detection and image multiplication
    Journal of Telecommunication Electronic and Computer Engineering, 2017
  • Design of finger-vein capture device with quality assessment using Arduino microcontroller
    Journal of Telecommunication Electronic and Computer Engineering, 2017
  • Adaptive boundary impedance matching network algorithm for multi frequency standards RF front-end
    Yan Chiew Wong, Noor Mazlina Mahmod, Syafeeza Ahmad Radzi, Norihan Abdul Hamid
    AEU International Journal of Electronics and Communications, 2016
  • Dickson charge pump rectifier using ultra-low power (ULP) Diode for BAN applications
    Journal of Telecommunication Electronic and Computer Engineering, 2016
  • User identification system based on finger-vein patterns using Convolutional Neural Network
    Arpn Journal of Engineering and Applied Sciences, 2016
  • Adaptive impedance tuning network using genetic algorithm: ITuneGA
    Journal of Telecommunication Electronic and Computer Engineering, 2016
  • A transistor sizing tool for optimization of analog CMOS circuits: TSOp
    International Journal of Engineering and Technology, 2015
  • Generalizing convolutional neural networks for pattern recognition tasks
    Arpn Journal of Engineering and Applied Sciences, 2015
  • Efficient ultra-high-voltage controller-based complementary-metal-oxide-semiconductor switched-capacitor DC-DC converter for radio-frequency micro-electro-mechanical systems switch actuation
    Yan Chiew Wong, Tughrul Arslan, Ahmet T. Erdogan, Ahmed O. El‐Rayis
    Iet Circuits Devices and Systems, 2013
  • Reconfigurable wideband RF impedance transformer integrated with an antenna for multi-band wireless devices
    Yan Chiew Wong, Tughrul Arslan, Ahmet T. Erdogan
    Lapc 2012 2012 Loughborough Antennas and Propagation Conference, 2012
  • Meandered inverted-F antenna for MIMO mobile devices
    Nurul H. Noordin, Yan Chiew Wong, Ahmet T. Erdogan, Brian Flynn, Tughrul Arslan
    Lapc 2012 2012 Loughborough Antennas and Propagation Conference, 2012
  • Speedy derivative-corrective mass spring algorithm for adaptive impedance matching networks
    Y.C. Wong, T. Arslan, A.T. Erdogan, N. Haridas, A.O. El-Rayis
    Electronics Letters, 2012
  • Practical design strategy for two-phase step up DC-DC fibonacci switched-capacitor converter
    Yan Chiew Wong, Wei Zhou, Ahmed O. El-Rayis, Nakul Haridas, Ahmet T. Erdogan, Tughrul Arslan
    2011 20th European Conference on Circuit Theory and Design Ecctd 2011, 2011
  • An evaluation of 2-phase charge pump topologies with charge transfer switches for green mobile technology
    Yan Chiew Wong, Nurul H. Noordin, Ahmed O. El-Rayis, Nakul Haridas, Ahmet T. Erdogan, Tughrul Arslan
    Proceedings Isie 2011 2011 IEEE International Symposium on Industrial Electronics, 2011
  • Structural similarity of business process variants
    N M Mahmod, Wong Yan Chiew
    Icos 2010 2010 IEEE Conference on Open Systems, 2010
  • Door sensors for automatic light switching system
    Singh Sarban Singh Ranjit, Ahamed Fayeez Tuani Ibrahim, Sani Irwan Salim, Yan Chiew Wong
    EMS 2009 Uksim 3rd European Modelling Symposium on Computer Modelling and Simulation, 2009
  • Analogue diagnosis of CMOS Floating Gate Defect (FGD) Using Genetic Algorithms (GAs)
    Wong Yan Chiew, Syafeeza Binti, Ahmad Radzi
    IEEE International Conference on Semiconductor Electronics Proceedings ICSE, 2008
  • Characterization and model development of CMOS Floating Gate Defect (FGD)
    Wong Yan Chiew, Abu Khari bin A'ain
    2007 Asia Pacific Conference on Applied Electromagnetics Proceedings Apace2007, 2007

RECENT SCHOLAR PUBLICATIONS

  • A Scalable MQTT-Based Edge IoT Architecture for Real-Time Distributed Solar PV Panel Monitoring
    A Mohammed, RSS Singh, S Aslam, YC Wong
    Engineering, Technology & Applied Science Research 16 (3), 36014-36024 , 2026
    2026
  • WI-FI BASED HUMAN ACTIVITY RECOGNITION WITH TEMPLATE MATCHING
    CYEE SAW, YANC WONG, RSS SINGH
    Journal of Engineering Science and Technology 20 (5), 1403-1413 , 2025
    2025
  • IoT Implementation in Malaysian SMEs: A Strategic Analysis of Enablers and Challenges
    YC Wong, S Saat, MA Othman, AAM Isa, MSM Saad, AF Othman, ...
    Journal of Telecommunication, Electronic and Computer Engineering (JTEC) 17 … , 2025
    2025
    Citations: 1
  • Location independent human activity recognition using self-training CSI-based techniques for wireless sensor networks
    FS Abuhoureyah, YC Wong
    IEEE internet of Things Journal , 2025
    2025
    Citations: 6
  • Energy optimized yolo: Quantized inference for real-time edge ai object detection
    HM Chiam, YC Wong, RSS Singh, TJS Anand
    Journal of Telecommunication, Electronic and Computer Engineering (JTEC) 17 … , 2025
    2025
    Citations: 7
  • Challenges and opportunities to location independent human activity recognition utilizing Wi-Fi sensing.
    F Abuhoureyah, YC Wong, MH Al-Taweel, NI Abdullah
    International Journal of Electrical & Computer Engineering (2088-8708) 15 (1) , 2025
    2025
    Citations: 4
  • AI-Driven Automation for Analog and Mixed-Signal Circuit Design: Schematic to GDSII Layout
    JS Sockalingam, YC Wong, RSS Singh, TJS Anand
    Journal of Telecommunication, Electronic and Computer Engineering (JTEC) 16 … , 2024
    2024
    Citations: 1
  • Exploring the Adoption of IoT in Malaysian SMEs: Drivers, Barriers, and Strategic Insights
    S Saat, MSM Saad, YC Wong, AF Othman, MA Othman, ZH Zaini, ...
    2024 International Conference on TVET Excellence & Development (ICTeD), 183-187 , 2024
    2024
    Citations: 3
  • Trajectory mapping through channel state information by triangulation method and fine-tuning
    F Abuhoureyah, YC Wong, AS Mohd Isira
    Journal of Engineering and Applied Science 71 (1), 196 , 2024
    2024
    Citations: 1
  • Enhancing Campus Security And Vehicle Management with Real-Time Mobile License Plate Reader App Utilizing A Lightweight Integration Model
    MHB Kamarozaman, A Syafeeza, Y Wong, NA Hamid, WHM Saad, ...
    J. Eng. Sci. Technol 19, 1672-1692 , 2024
    2024
    Citations: 3
  • Multi-user human activity recognition through adaptive location-independent WiFi signal characteristics
    F Abuhoureyah, KS Sim, YC Wong
    IEEE Access 12, 112008-112024 , 2024
    2024
    Citations: 31
  • Computer vision that can ‘see’ in the dark
    RSS Goh, S.Y. , Wong, Y.C. , Radzi, S.A. , Singh
    IAES International Journal of Artificial Intelligence 13 (3), 2883–2892 , 2024
    2024
  • Neurons to heartbeats: spiking neural networks for electrocardiogram pattern recognition
    RSS Noor, N.A.D.B.M. , Chiew, W.Y. , Noh, Z.M. , Singh
    Indonesian Journal of Electrical Engineering and Computer Science 36 (2), pp … , 2024
    2024
  • CSI-based human activity recognition via lightweight compact convolutional transformers
    FS Abuhoureyah, YC Wong, MH Al-Taweel, NI Abdullah
    Advances in computational design 9 (3), 187-211 , 2024
    2024
    Citations: 1
  • WiFi-based human activity recognition through wall using deep learning
    FS Abuhoureyah, YC Wong, ASBM Isira
    Engineering Applications of Artificial Intelligence 127, 107171 , 2024
    2024
    Citations: 71
  • CSI-based location independent human activity recognition using deep learning
    F Abuhoureyah, YC Wong, ASBM Isira, MN Al-Andoli
    Human-Centric Intelligent Systems 3 (4), 537-557 , 2023
    2023
    Citations: 18
  • Free device location independent WiFi‐based localisation using received signal strength indicator and channel state information
    F Abuhoureyah, W Yan Chiew, AS Bin Mohd Isira, M Al‐Andoli
    IET Wireless Sensor Systems 13 (5), 163-177 , 2023
    2023
    Citations: 10
  • Neuromorphic computing with hybrid CNN–Stochastic Reservoir for time series WiFi based human activity recognition
    CY Saw, YC Wong
    Computers and Electrical Engineering 111, 1-11 , 2023
    2023
    Citations: 11
  • Addressing location dependency in human activity recognition using channel state information via 3d-cwt approach
    F Abuhoureyah, YC Wong, ASM Isira, JH Chuah
    2023 IEEE International Conference on Artificial Intelligence in Engineering … , 2023
    2023
    Citations: 3
  • HIGH PERFORMANCE THROUGH WALL HUMAN ACTIVITY RECOGNITION USING WIFI
    WY Chiew, F Abuhoureyah, ASM Isira, JH Chuah
    Asian Journal Of Medical Technology 3 (2), 1-14 , 2023
    2023
    Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

  • WiFi-based human activity recognition through wall using deep learning
    FS Abuhoureyah, YC Wong, ASBM Isira
    Engineering Applications of Artificial Intelligence 127, 107171 , 2024
    2024
    Citations: 71
  • A stack bonded thermo-pneumatic micro-pump utilizing polyimide based actuator membrane for biomedical applications
    NA Hamid, BY Majlis, J Yunas, AR Syafeeza, YC Wong, M Ibrahim
    Microsystem Technologies 23 (9), 4037-4043 , 2017
    2017
    Citations: 69
  • Functional magnetic resonance imaging for autism spectrum disorder detection using deep learning
    RNS Husna, AR Syafeeza, NA Hamid, YC Wong, RA Raihan
    Jurnal Teknologi 83 (3), 45-52 , 2021
    2021
    Citations: 60
  • Convolutional neural network for object detection system for blind people
    YC Wong, JA Lai, SSS Ranjit, AR Syafeeza, NA Hamid
    Journal of Telecommunication, Electronic and Computer Engineering (JTEC) 11 … , 2019
    2019
    Citations: 46
  • User identification system based on finger-vein patterns using convolutional neural network
    KS Itqan, AR Syafeeza, FG Gong, N Mustafa, YC Wong, MM Ibrahim
    ARPN Journal of Engineering and Applied Sciences 11 (5), 3316-3319 , 2016
    2016
    Citations: 45
  • A design of license plate recognition system using convolutional neural network.
    P Marzuki, AR Syafeeza, YC Wong, NA Hamid, AN Alisa, MM Ibrahim
    International Journal of Electrical & Computer Engineering (2088-8708) 9 (3) , 2019
    2019
    Citations: 40
  • Miniature high gain slot-fed rectangular dielectric resonator antenna for IoT RF energy harvesting
    AA Masius, YC Wong, KT Lau
    AEU-International Journal of Electronics and Communications 85, 39-46 , 2018
    2018
    Citations: 32
  • Multi-user human activity recognition through adaptive location-independent WiFi signal characteristics
    F Abuhoureyah, KS Sim, YC Wong
    IEEE Access 12, 112008-112024 , 2024
    2024
    Citations: 31
  • Disease detection of solanaceous crops using deep learning for robot vision
    AHN Hidayah, SA Radzi, NA Razak, WHM Saad, YC Wong, AA Naja
    Journal of Robotics and Control (JRC) 3 (6), 790-799 , 2022
    2022
    Citations: 30
  • Dickson charge pump rectifier using ultra-low power (ULP) diode for BAN applications
    YC Wong, PC Tan, MM Ibrahim, AR Syafeeza, NA Hamid
    Journal of Telecommunication, Electronic and Computer Engineering (JTEC) 8 … , 2016
    2016
    Citations: 23
  • Deep learning-based racing bib number detection and recognition
    YC Wong, LJ Choi, RSS Singh, H Zhang
    Jordanian Journal of Computers and Information Technology 5 (3) , 2019
    2019
    Citations: 21
  • − 31 dBm sensitivity high efficiency rectifier for energy scavenging
    ANF Asli, YC Wong
    AEU-International Journal of Electronics and Communications 91, 44-54 , 2018
    2018
    Citations: 21
  • On-chip miniaturized antenna in CMOS technology for biomedical implant
    AA Masius, YC Wong
    AEU-International Journal of Electronics and Communications 115, 153025 , 2020
    2020
    Citations: 20
  • Design of automated computer-aided classification of brain tumor using deep learning
    NA Ali, AR Syafeeza, LJ Geok, YC Wong, NA Hamid, AS Jaafar
    Intelligent and Interactive Computing: Proceedings of IIC 2018, 285-291 , 2019
    2019
    Citations: 20
  • Door sensors for automatic light switching system
    SSS Ranjit, AFT Ibrahim, SI Salim, YC Wong
    2009 Third UKSim European Symposium on Computer Modeling and Simulation, 574-578 , 2009
    2009
    Citations: 20
  • CSI-based location independent human activity recognition using deep learning
    F Abuhoureyah, YC Wong, ASBM Isira, MN Al-Andoli
    Human-Centric Intelligent Systems 3 (4), 537-557 , 2023
    2023
    Citations: 18
  • Meandered inverted-F antenna for MIMO mobile devices
    NH Noordin, YC Wong, AT Erdogan, B Flynn, T Arslan
    2012 Loughborough Antennas & Propagation Conference (LAPC), 1-4 , 2012
    2012
    Citations: 15
  • Practical design strategy for two-phase step up DC-DC Fibonacci switched-capacitor converter
    YC Wong, W Zhou, AO El-Rayis, N Haridas, AT Erdogan, T Arslan
    2011 20th European Conference on Circuit Theory and Design (ECCTD), 817-820 , 2011
    2011
    Citations: 15
  • An evaluation of 2-phase charge pump topologies with charge transfer switches for green mobile technology
    YC Wong, NH Noordin, AO El-Rayis, N Haridas, AT Erdogan, T Arslan
    2011 IEEE International Symposium on Industrial Electronics, 136-140 , 2011
    2011
    Citations: 13
  • Wireless communications apparatus
    ELR Ahmed, YC WONG
    US Patent App. 14/755,344 , 2016
    2016
    Citations: 12