The analysis of inflammatory gene expression patterns in the parietal cortex (PCx) and temporal cortex (TCx) from a human brain RNA sequence data set, aiming to derive insights into the underlying genetic link associated with dementia, as well as prediction of dementia.
Utilised well-known decision tree classifier to classify the normal network activity and network anomalies.
Made significant contributions to the improvement of rollingstock maintenance operations, ensuring efficiency and reliability.
Published in Biochar and its Application in Bioremediation - Springer, 2022
This chapter provides an elaboration on the agricultural productivity, resources, and waste management of Asian countries particularly on its high-value crops such as rice, corn, pineapple, coconut, sugarcane, and oil palm.
Recommended citation: Narde, S.R., Remya, N., Ong, H.L., Villagracia, A.R.C., Carbonell, M.S., Choo, Y.H. (2021). Conversion of Agricultural Wastes into Biochar and Its Characteristics. In: Thapar Kapoor, R., Treichel, H., Shah, M.P. (eds) Biochar and its Application in Bioremediation. Springer, Singapore. https://doi.org/10.1007/978-981-16-4059-9_12 https://doi.org/10.1007/978-981-16-4059-9_12
Published in IEEE, 2022
This paper proposes an ensemble-based Harris’ Hawk optimisers (EN-HHO) to address the multi-objective flexible job shop problem (MOFJSP).
Recommended citation: Y. H. Choo, Z. Cai, V. Le, M. Johnstone, W. K. Chan and D. Creighton, "Multi-objective Flexible Job-Shop Scheduling with an Ensemble Optimisation Model," 2022 IEEE Industrial Electronics and Applications Conference (IEACon), Kuala Lumpur, Malaysia, 2022, pp. 229-234, doi: 10.1109/IEACon55029.2022.9951770. https://doi.org/10.1109/IEACon55029.2022.9951770
Published in Soft Computing, 2023
This paper proposes an enhancement to the Harris’ Hawks Optimisation (HHO) algorithm for solving single- and multi-objective optimisation problems.
Recommended citation: Choo, Y.H., Cai, Z., Le, V. et al. Enhancing the Harris’ Hawk optimiser for single- and multi-objective optimisation. Soft Comput 27, 16675–16715 (2023). https://doi.org/10.1007/s00500-023-08952-w. https://doi.org/10.1007/s00500-023-08952-w
Published in IEEE, 2023
This study focuses on the use of a metaheuristic method, namely an enhanced multi-objective Harris’ Hawk optimiser (MO-HHO), for optimising competing objectives based on data obtained from a railway maintenance company.
Recommended citation: Y. H. Choo, V. Le, M. Johnstone, D. Creighton, H. Jindal and K. Tan, "Optimisation of Multi-objective Rolling Stock Maintenance Scheduling with Harris’ Hawk Optimiser," 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT), BALI, Indonesia, 2023, pp. 59-65, doi: 10.1109/IAICT59002.2023.10205863. https://doi.org/10.1109/IAICT59002.2023.10205863
Published in Soft Computing, 2023
This paper proposes an Enhanced WOA (EWOA) model and multi-objective EWOA (MOEWOA) for tackling single- and multi-objective optimisation problems.
Recommended citation: Cai, Z., Choo, Y.H., Le, V. et al. Enhancing the Whale Optimisation Algorithm with sub-population and hybrid techniques for single- and multi-objective optimisation. Soft Comput (2023). https://doi.org/10.1007/s00500-023-09351-x https://doi.org/10.1007/s00500-023-09351-x
Published in IEEE, 2023
This paper introduces the C-MOEWOA, a specialised clustering-based Whale Optimisation Algorithm for tackling MOFJSP.
Recommended citation: Z. Cai, Y. H. Choo and V. Le, "A Clustering-Based Whale Optimisation Algorithm for Multi-Objective Flexible Job Shop Problems," 2023 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS), Bali, Indonesia, 2023, pp. 196-202, doi: 10.1109/IoTaIS60147.2023.10346077. https://doi.org/10.1109/IoTaIS60147.2023.10346077
Published in IEEE, 2023
This study focuses on the analysis of inflammatory gene expression patterns in the parietal cortex (PCx) and temporal cortex (TCx) from a human brain RNA sequence data set, aiming to derive insights into the underlying genetic link associated with dementia, as well as prediction of dementia.
Recommended citation: Y. Ay, Y. H. Choo, A. Bhatti and C. P. Lim, "Classification of Inflammatory Gene Expression Patterns with Machine Learning Models," 2023 IEEE 4th International Conference on Pattern Recognition and Machine Learning (PRML), Urumqi, China, 2023, pp. 115-119, doi: 10.1109/PRML59573.2023.10348265. https://doi.org/10.1109/PRML59573.2023.10348265
Published:
This session aims to offer an in-depth exploration into the latest advancements and practical applications of AI. Prof. CP Lim and Mr. YH Choo, with their extensive experience in applying AI to solve real-world problems in collaboration with industrial partners, are poised to provide unique insights and practical knowledge. This event is an invaluable opportunity for TAR UMT staff and students to gain exposure to the forefront of AI research and its practical implications.
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Artificial Intelligence (AI) is a broad field that encompasses a variety of methodologies inspired by human and/or natural intelligence. In this talk, various AI paradigms, e.g., neural/fuzzy/evolutionary computational models, for data analytics, knowledge inference, and multi-objective optimisation will be presented. Several useful properties of AI models for developing decision support systems, which include knowledge elicitation and trust measurement, will be exemplified. Real-world applications of AI models in business, financial and industrial sectors will also be demonstrated.
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In this enlightening talk, we delve into the intricate and often controversial realm of Artificial Intelligence (AI) and its multifaceted impact on modern society. As AI continues to evolve at a rapid pace, it presents a unique set of dilemmas that straddle the fine line between beneficial opportunities and potential threats. This session, “Unlocking the Dilemma of AI Existence - Challenging Threats or Seizing Opportunities,” aims to provide a comprehensive understanding of these issues.
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In this session, our speakers from the Institute for Intelligent Systems Research and Innovation, Deakin University, Australia, aim to provide a comprehensive exploration of the latest advancements and practical applications of AI in transportation systems. The speakers, Prof. CP Lim, Dr. Tao, and Mr. Kelvin Choo, have extensive experience in collaborating with industrial partners to apply AI in solving real-world problems. They will share their unique insights and practical knowledge, with a particular focus on the field of transportation systems. The topics they will cover include “Artificial Intelligence and its Applications,” “Reinforcement Learning in Intelligent Transportation Systems,” and “AI-based Decision Support Systems.”
Published:
In this session, our speakers from the Institute for Intelligent Systems Research and Innovation, Deakin University, Australia, aim to provide a comprehensive exploration of the latest advancements and practical applications of AI in transportation systems. The speakers, Prof. CP Lim, Dr. Tao, and Mr. Kelvin Choo, have extensive experience in collaborating with industrial partners to apply AI in solving real-world problems. They will share their unique insights and practical knowledge, with a particular focus on the field of transportation systems. The topics they will cover include “Artificial Intelligence and its Applications,” “Reinforcement Learning in Intelligent Transportation Systems,” and “AI-based Decision Support Systems.”
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AI technology has achieved unprecedented breakthroughs and continues to extend its applications. The ultimate question remains - What does the future of AI hold? Join us on an in-depth discussion on cutting-edge advancements that are redefining a new era of artificial intelligence.