Publications

Year 2026

  1. Improved YOLOv5 for Efficient Elimination of Unwanted Video Frames From High‐Speed Video Arrays Capturing Bat’s Kinematics
    DP Jayathunga, M Ramashini, J Zaini, R Müller, LC De Silva
    Applied AI Letters 7 (1), e70014

Year 2025

    1. Digitalizing Malay Medical Manuscripts: A Database-Driven Approach to Preservation, Knowledge Management and Intellectual Property
      N Fauzi, MHM Najid, N Ibrahim, MA Sahbudin
      Journal of Al-Tamaddun 20 (2), 199-210
    1. Beyond the outbreak: a review of big data analytics in proactive infectious disease prevention for risk mitigation for COVID-19
      N Rahim, SA Pitchay, AH Azni, MAB Sahbudin, IK Sahbudin
      Journal of Big Data 12 (185)
    1. Technological trends in epidemic intelligence for infectious disease surveillance: a systematic literature review
      HA Kamarul Aryffin, MAB Sahbudin, S Ali Pitchay, AH Abhalim, …
      PeerJ Computer Science 11 (2874)
    1. Forecasting Public Health Risks in Malaysia: Insights from SEIR Modelling of Infectious Diseases
      N Rahim, AP Sakinah, MAB Sahbudin, AH Azni, IK Sahbudin
      Malaysian Journal of Science Health & Technology 11 (1), 34–4
    1. Advancing Localized Public Health Surveillance in Malaysia by Enhancing EIOS with Google COVID-19 Data Integration
      HAK Aryffin, MAB Sahbudin, SA Pitchay, AH Azni, IK Sahbudin
      Malaysian Journal of Science Health & Technology 11 (1), 43–52.
    1. Computer Vision Applications for Sustainable Agriculture
      W Shafik, A Tufail, LC De Silva, RAAHM Apong
      Computational Intelligence and Image Processing in Agriculture: Applications.
    1. Transforming Patient-Centered Healthcare Using Smart and Connected Internet of Things for Intelligent Medical Operations
      W Shafik, A Tufail, RAAHM Apong, CDS Liyanage
      Sustainable Healthcare Systems in Africa, 48-63
    1. Climate Change Impacts on Disease Burden and Healthcare Vulnerability
      W Shafik, A Tufail, CDS Liyanage, RAAHM Apong
      Sustainable Healthcare Systems in Africa, 298-318
    1. Deep learning technique for plant disease classification and pest detection and model explainability elevating agricultural sustainability
      W Shafik, A Tufail, LC De Silva, RAA Haji Mohd Apong, KH Kim
      BMC Plant Biology 25 (1), 1491
    1. A comprehensive dataset of agarwood tree (Aquilaria Malaccensis) leaf images for disease analysis in Brunei Darussalam
      W Shafik, RS Sukri, CDS Liyanage, NH Zaini, SB Yu, MA Ruslan, …
      Data in Brief, 112227
    1. Techno-Economic Feasibility Analysis of Grid-Connected Hybrid PV Power System in Brunei.
      KE Fahim, LCD Silva, SA Shezan, MA Islam, MS Hassan, H Yassin, …
      Energy Engineering 122 (10)
    1. Multi-Feature Hybrid Anomaly Detection in ICS: An Integration of ML, DL, and Statistical Techniques
      MM Aslam, A Tufail, LC De Silva, RAAHM Apong
      Proceedings of the 3rd ACM Workshop on Secure and Trustworthy Deep Learning …
    1. An optimized anomaly detection framework in industrial control systems through grey wolf optimizer and autoencoder integration
      MM Aslam, LC De Silva, RAAHM Apong, A Tufail
      Scientific Reports 15 (1), 27579
    1. Navigating the Future and Integration of Blockchain and Smart Circular Economy
      W Shafik, A Tufail, CDS Liyanage, RAAHM Apong, R Singh
      Blockchain Technologies for Smart Circular Economy and Organisational …
    1. FullRecall: A Semantic Search-Based Ranking Approach for Maximizing Recall in Patent Retrieval
      A Ali, LC De Silva, PE Abas
      arXiv preprint arXiv:2507.14946
    1. 2 The Rise of Generative Artificial Intelligence in Software Development
      W Shafik, A Tufail, RAAHM Apong, CDS Liyanage
      Generative AI for Software Development: Code Generation, Error Detection …
    1. Time Series Forecasting of Active Power Using ARIMA, SARIMA and Hybrid Models
      KE Fahim, LC De Silva, H Yassin
      Smart Sustainable Development Conference 2025 (SSD 2025), 203-219
    1. Time Series Forecasting of Active Power Using ARIMA, SARIMA
      KE Fahim¹, LC De Silva, H Yassin
      Proceedings of the Smart Sustainable Development Conference 2025 (SSD 2025 …
    1. A lightweight deep learning model for multi-plant biotic stress classification and detection for sustainable agriculture
      W Shafik, A Tufail, LC De Silva, RAAHM Apong
      Scientific Reports 15 (1), 12195
    1. Prediction of melt pool height based on the spatiotemporal adjacency features in laser metal deposition using machine learning
      MM Imran, J Kang, Y Kim, G Jung, T Park, A Che Idris, JH Suh, …
      Progress in Additive Manufacturing, 1-30
    1. Data Mining for Secure and Sustainable Industrial Cyber-Physical Systems
      MM Aslam, A Tufail, RAAHM Apong, LC De Silva, MN Irshad, A Namoun
      2025 1st International Conference on Secure IoT, Assured and Trusted …
    1. Economic Load Dispatch Using a Novel Hybrid Algorithm for DES Brunei Power System
      KE Fahim, H Yassin, L De Silva, T Roy, P Sarker, GK Saha
      2025 International Conference on Electrical, Computer and Communication …
    1. IoT-Based wearable systems for cancer detection
      DMG Preethichandra, L Piyathilaka, U Izhar, R Samarasinghe, …
      IoT-WSN-DT Based Medical Systems and Nanotechnology for Smart Cancer Care …
    1. An Enhanced Deep Convolutional Neural Network for Plant Disease Detection and Classification: Elevating Sustainable Agriculture
      W Shafik, A Tufail, LC De Silva, RAHM Apong
      Artificial Intelligence and Data Science for Sustainability: Applications …
  1. Wearable sensors and flexible antennas used in the wireless body area networks
    DMG Preethichandra, L Piyathilaka, U Izhar, R Samarasinghe, …
    Advanced Sensors for Smart Healthcare, 411-436

Year 2024

    1. Direction of Enhancing Epidemic Intelligence From Open Source (EIOS) For Localized COVID-19 Management in Malaysia
      MA Sahbudin, SA Pitchay, AH Azni, I Sahbudin
      8th Science and Technology Graduates Colloquium, Universiti Sains Islam Malaysia
    2. Direction of Enhancing Epidemic Intelligence From Open Source (EIOS) For Localized COVID-19 Management in Malaysia
      HAK Aryffin, MAB Sahbudin, SA Pitchay, AH Azni, IK Sahbudin
      Science and Technology Graduates Colloquium, (KOSiST 2024)
    3. Visualizing Infectious Disease Forecasting in Malaysia by Optimizing Big Data Analytic for Enhanced Public Health Decision Making
      N Rahim, SA Pitchay, MAB Sahbudin, AH Azni, IK Sahbudin
      Science and Technology Graduates Colloquium, (KOSiST 2024).
    4. Technological trends in epidemic intelligence for infectious disease surveillance: A systematic literature review
      HAK Aryffin, MAB Sahbudin, SA Pitchay, AH Azni, IK Sahbudin
      PeerJ Computer Science

Year 2022

    1. Classification of Driving Behaviour Using Machine Learning Methods at Signalized Intersections in Urban and Suburban Roads (2022). DOI: https://doi.org/10.1007/978-981-16-6332-1_36
    1. An Embedded System Using Convulational Neural Network Model for Online and Real-Time ECG Signal Classification and Prediction. W Caesarendra, TA Hishamuddin, DTC Lai, A Husaini, L Nurhasanah, …
      Diagnostics 12 (4), 795 https://www.mdpi.com/2075-4418/12/4/795/htm
    1. Proxy-Terms Based Query Obfuscation Technique for Private Web Search
      S Bashir, DTC Lai, OA Malik.
      IEEE Access, http://dx.doi.org/10.1109/ACCESS.2022.31
      https://ieeexplore.ieee.org/abstract/document/9706428
  1. Accurate Location Estimation of Smart Dusts Using Machine Learning
    S Bashir, OA Malik, DTC Lai CMC-Computers, Materials & Continua 71 (3), 6165-6181 https://techscience.com/cmc/v71n3/46544

Year 2021

    1. Kazimierz Becek, Gabriel Yit Vui Yong, Rahayu Sukmaria Sukri, Daphne Teck Ching Lai. Shorea albida Sym. does not regenerate in the Badas peat swamp forest, Brunei Darussalam – An assessment using remote sensing technology
    1. S. L. Karri, L. C. De Silva, D. T. C. Lai, S. Y. Yong. Identification and classification of driving behaviour at signalized intersections using support vector machine. International Journal of Automation and Computing. http://doi.org/10.1007/s11633-021-1295-y
    1. BR Hussein, OA Malik, WH Ong, JWF Slik. Reconstruction of damaged herbarium leaves using deep learning techniques for improving classification accuracy. Ecological Informatics 61, 101243. https://doi.org/10.1016/j.ecoinf.2021.101243
    1. Identification and Classification of Driving Behaviour at Signalized Intersections Using Support Vector Machine (2021). DOI: https://doi.org/10.1007/s11633-021-1295-y
    1. Classification and Prediction of Driving Behaviour at a Traffic Intersection Using SVM and KNN (2021). DOI: https://doi.org/10.1007/s42979-021-00588-7
    1. Mining Approximate Frequent Itemsets Using Pattern Growth Approach
      S Bashir, DTC Lai.
      Information Technology and Control 50 (4), 627-644
      https://www.itc.ktu.lt/index.php/ITC/article/view/29060
    1. Investigating Automated Hyper-Parameter Optimization for a Generalized Path Loss Model
      US Sani, DTC Lai, OA Malik
      11th Conference on Electronics, Communications, and Networks (CECNet) 345
      https://ebooks.iospress.nl/doi/10.3233/FAIA210413
    1. An Empirical Study of Cluster-Based MOEA/D Bare Bones PSO for Data Clustering
      DTC Lai, Y Sato
      Algorithms 14 (11), 338; SI: Nature-Inspired Algorithm in ML
      https://www.mdpi.com/1999-4893/14/11/338
    1. Hybrid Multiobjective Evolutionary Algorithms for Unsupervised QPSO, BBPSO and Fuzzy clustering
      DTC Lai, Y Sato
      2021 IEEE Congress on Evolutionary Computation (IEEE CEC) 2021 (DOI: 10.1109/CEC45853.2021.9504968)
      https://ieeexplore.ieee.org/abstract/document/9504968
  1. A Hybrid Combination of a Convolutional Neural Network with a Regression Model for Path Loss Prediction Using Tiles of 2D Satellite Images
    US Sani, DTC Lai, OA Malik
    2020 8th International Conference on Intelligent and Advanced Systems (ICIAS)
    https://ieeexplore.ieee.org/abstract/document/9642585

Year 2020

    1. Shalaby, M.R., Malik, O.A., Lai, D.T.C., Jumat, N.,  Islam, M.A. (2020). Thermal maturity and TOC prediction using machine learning techniques: case study from the Cretaceous–Paleocene source rock, Taranaki Basin, New Zealand. Journal of Petroleum Exploration and Production Technology. DOI: 10.1007/s13202-020-00906-4
    1. Leong, E., Ong S.K., Madli, F., Tan, A., Lai, D.T.C.,  Basir, N., Ramlee, N., Chong, V.H. (2020). Survival Rates and Associated Factors of Colorectal Cancer Patients in Brunei Darussalam. Asian Pacific Journal of Cancer Prevention, Vol. 21(1), pp. 259-265.
    1. Leong, E., Ong, S. K., Jali, F., & Ramlee, N. (2020). Childhood Cancer Survival in Brunei Darussalam. Asian Pacific Journal of Cancer Prevention, 21(11), 3259-3266.
  1. Pattern Mining Predictor System for Road Accidents (2020). DOI: https://doi.org/10.1007/978-3-030-63119-2_49

Year 2019

    1. Shalaby, M.R., Jumat, N., Lai, D.T.C., Malik, O.A. (2019) Integrated TOC prediction and source rock characterization using machine learning, well logs and geochemical analysis: Case study from the Jurassic source rocks in Shams Field, NW Desert, Egypt. Journal of Petroleum Science and Engineering, Vol. 176, pp. 369-380.
    1. Elvynna Leong, Sok King Ong, Fadzillah Jali and Noraslinah Ramlee. Childhood Cancer Survival in Brunei Darussalam.  Faculty of Science, Universiti Brunei Darussalam, Jln Tungku Link, Brunei Darussalam.Institute of Applied Data Analytics, Universiti Brunei Darussalam, Jln Tungku Link, Brunei Darussalam. NCD Prevention Unit, Ministry of Health, Commonwealth Drive, Brunei Darussalam. Early Detection & Cancer Prevention Services, Pantai Jerudong Specialist Centre, Brunei Darussalam. DOI: 10.31557/APJCP.2020.21.11.3259
    1. Extended Investigation on Road Fatality In Brunei (2019). DOI: https://doi.org/10.1080/17457300.2018.1476381

Year 2018

    1. S Aneja, N Aneja, MS Islam. (2018) Iot device fingerprint using deep learning. 2018 IEEE International Conference on Internet of Things and Intelligence.
  1. A Moustakas, MR Evans, IN Daliakopoulos, Y Markonis. (2018) Abrupt events and population synchrony in the dynamics of Bovine Tuberculosis. Nature communications 9 (1), Pg 1-10.

Year 2017

    1. Bandyopadhyay, S., Dasgupta, K, Arya, V., Mathew, S., Petra, I., Alias, A. (2017). Energy-Efficiency Potential of Behavioral Initiatives: An Experimental Case Study from Brunei Proceedings of the Eighth International Conference on Future Energy Systems, Association for Computing Machinery.
    1. Bandyopadhyay, S., Dasgupta, K, Arya, V., Mathew, S., Petra, I., Alias, A. (2017). PV Potential in Oil & Sun Rich Nations: An Experimental Case Study from Brunei.  Proceedings of the Eighth International Conference on Future Energy Systems, Association for Computing Machinery.
  1. Hazra, J, Dasgupta, K,  Padmanaban, M, Verma, A,  Matthew, S, Petra (2017). End-to-End LP Approach for Optimal Dispatch-A Case Study for the DES Grid in Brunei. 2017 IEEE PES General Meeting, IEEE Xplore.

Year 2016

    1. Hazra, J., Dasgupta, K., Manikandan, P., Verma, A., Mathew, S., & Petra, I. (2016). Solar PV integration considering grid stability-a case study for the Temburong district in Brunei. In Innovative Smart Grid Technologies Conference (ISGT), 2016 IEEE Power & Energy Society, IEEE Xplore, DOI: 10.1109/ISGT.2016.7781194./
    1. Hooda, N., Azad, A. P., Kumar, P., Saurav, K., Arya, V., & Petra, M. I. (2016). PV power predictors for condition monitoring. In Smart Grid Communications (SmartGridComm), 2016 IEEE International Conference , IEEE Xplore, DOI: 10.1109/SmartGridComm.2016.7778763.
    1. Hooda, N., Kumar, P., Azad, A., Arya, V., & Petra, M. I. (2016). Combining data with physics to monitor solar panels. In Proceedings of the Seventh International Conference on Future Energy Systems Poster Sessions ACM  pp. 7 DOI: 10.1145/2939912.2942357.
    1. Mathew S., Lim, C.M.,  Petra, M.I., Philip, G.S., Noorfathin, M., Manuel, S.M. and  Veena, R. (2016). Matching the characteristics of low wind speed turbines with candidate wind regimes. Energy Procedia, Vol. 95,pp.286-293.
    1. Femin, V., Petra, M.I.,  S. Mathew and Hazra, J (2016).Modeling the Temporal Variations in the Output of Large Solar PV Power Plants. Energy Procedia, Vol 95, pp 294–301.
    1. Femin, V., Veena R, Petra, M.I., Mathew, S. and Hazra, J (2016). Modeling the Ramping Behaviour of Wind Turbines. ICUE 2016, IEEE Xplore, DOI: 10.1109/ COGEN.2016.7728967.
    1. Veena R., Fauziah, S., Mathew S., Petra I., and Hazra J. (2016). Data Driven Models for Understanding the Wind Farm Wake Propagation Pattern. ICUE 2016, IEEE Xplore, DOI: 10.1109/COGEN.2016.7728969.
    1. Veena R., Femin V., Mathew S., Petra I. and Hazra J. (2016). Intelligent Models for the Power Curves of Small Wind Turbines”. ICUE 2016, IEEE Xplore, DOI: 10.1109/COGEN.2016.7728965.
    1. Femin, V., Najmu, H., Dayana, K.B., Petra, M.I. and  S. Mathew. Financial Incentive Mechanisms for Residential PV systems: An Analysis Based on the Real Performance Data”. ICUE 2016, IEEE Xplore, DOI: 10.1109/COGEN.2016.7728963.
    1. Veena R, Noorfathin M, Lim C M , Mathew S and  Petra M. I (2016). An Empirical Method for Developing the Power Curve of Small Wind Turbines Using Sub-optimal Performance Data”. UTBBICET 2016 IET.( To appear in IEEE Xplore).
    1. Veena R, Mathew S, Petra M.I. and Hazra J (2016). Evaluating the Parametric Models for Wind Turbine Power Curves with Field Performance Data. UTBBICET 2016IET.( To appear in IEEE Xplore).
  1. Dayana K. B., Mathew S.,  Petra M.I. and Lim C M (2016). Sustainable and Secure Energy Future for Oil-Rich Economies: A case study from Brunei Darussalam. ICUE 2016 (IEEE Xplore, DOI: 10.1109/COGEN.2016.7728950.