Publications

2021

• 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

• 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

2020

• 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

• 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.

• 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.

2019

• 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.

• 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

2017

• 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. 

• 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.

• 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.

2016

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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).

• 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).

• 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.