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Latest staff publications > Displaying [1–20 of 57]

  • Ngwenya, D., Kbaier, D. and Wong, P., 2026, ‘Controlled Granularity Tuning for Log-Based Anomaly Detection in Converged HPC-Cloud Environments’, in ICS Workshops '26: 2026 International Conference on Supercomputing Workshops, 06 Jul 2026-09 Jul 2026, Belfast, Northern Ireland, United Kingdom., https://oro.open.ac.uk/110883/.
  • Bharati, N., Wong, P., Kouadri Mostéfaoui, S., Kbaier, D. and Collie, J., 2026, ‘Explainable deepfake detection: A multi-model framework with human-interpretable rationales for legal investigation purposes’, Machine Learning with Applications, 23, https://oro.open.ac.uk/107983/.
  • Ngwenya, D., Wong, P. and Kbaier, D., 2026, ‘Boundary Conditions for Semantic Log Parsing in Systems Observability Pipelines’, in SYSTOR '26: 19th ACM International Systems and Storage Conference, 8-9 Sep 2026, Virtual Event, Israel., https://oro.open.ac.uk/111858/.
  • Wong, P. and Zhao, Y. e., 2025, ‘Object Detection and Image Classification’, Basel, CH: MDPI., https://oro.open.ac.uk/107264/.
  • Hilliard, J., Kear, K., Donelan, H., Wong, P. and Heaney, C., 2025, ‘Supporting students’ emotion awareness and regulation during an online group project’, European Journal of Open, Distance and E-Learning, 27(2), https://oro.open.ac.uk/106638/.
  • Shahmiri, L., Wong, P. and Dooley, L. S., 2025, ‘A Gaussian Mixture Model and Mutual Information Guided Dataset Partitioning Algorithm for Convolutional Neural Network Training’, in The 25th International Conference on Digital Signal Processing (DSP 2025), 25-27 Jun 2025, Costa Navarino, Messinia, Greece., https://oro.open.ac.uk/104067/.
  • Wong, P. and Zhao, Y., 2025, ‘Object Detection and Classification with Limited Training Data’, Applied Sciences, 15(12), https://oro.open.ac.uk/104756/.
  • Ngwenya, D., Kbaier, D. and Wong, P., 2025, ‘Toward LLM-Compatible Log Representation Learning: A Hierarchical Semantic-Structural Framework for HPC Anomaly Detection’, in 2025 IEEE International Conference on Cluster Computing Workshops (CLUSTER Workshops), 02-05 Sep 2025, Edinburgh, UK., https://oro.open.ac.uk/106587/.
  • Wong, P., Myint, H., Dooley, L. and Hopgood, A., 2024, ‘A multi-view automatic table tennis umpiring framework’, Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, 238(4), pp. 339–351., https://oro.open.ac.uk/88642/.
  • Hilliard, J., Donelan, H., Heaney, C., Kear, K. and Wong, P., 2023, ‘Using short questionnaires to support students' emotion awareness and regulation during an online group project’, in “Yes we can!” - Digital Education for Better Futures (EDEN 2023 Annual Conference), 18-20 Jun 2023, Dublin City University (DCU), Dublin, Ireland., https://oro.open.ac.uk/94048/.
  • Workman, R., Wong, P., Wright, A. and Wang, Z., 2023, ‘Prediction of Unpaved Road Conditions Using High-Resolution Optical Satellite Imagery and Machine Learning’, Remote Sensing, 15(16), https://oro.open.ac.uk/91644/.
  • Shahmiri, L., Wong, P. and Dooley, L. S., 2023, ‘Accurate Medicinal Plant Identification in Natural Environments by Embedding Mutual Information in a Convolution Neural Network Model’, in 2022 IEEE 5th International Conference on Image Processing Applications and Systems (IPAS), 5-7 Dec 2022, Genova, Italy., https://oro.open.ac.uk/84944/.
  • Donnachie, B., Verrall, J., Hopgood, A., Wong, P. and Kennedy, I., 2022, ‘Accelerating Cyber-Breach Investigations through Novel use of Artificial Immune System Algorithms’, in Artificial Intelligence XXXIX: 42nd SGAI International Conference on Artificial Intelligence. Lecture Notes in Computer Science, 13-15 Dec 2022, Cambridge, UK., https://oro.open.ac.uk/85229/.
  • Wong, P., Donelan, H. and Hirst, T., 2020, ‘Understanding and mitigating students’ difficulties in undertaking complex practical activities on their computers’, in 9th eSTEeM Annual Conference, 29-30 Apr 2020, Milton Keynes, England., https://oro.open.ac.uk/70805/.
  • Hilliard, J., Wong, P., Kear, K., Donelan, H. and Heaney, C., 2020, ‘Using real time student feedback as an emotion awareness and regulation tool in an assessed, online, collaborative project’, in The 9th eSTEeM Annual Conference, 29-30 Apr 2020, Milton Keynes, England., https://oro.open.ac.uk/70496/.
  • Martin, J. H., Dooley, L. S. and Wong, K. P., 2019, ‘5G multi-layer routing strategies for TV white space secondary user access’, IET Communications, 13(12), pp. 1801–1807., https://oro.open.ac.uk/60489/.
  • Martin, J. H., Dooley, L. S. and Wong, K. C. P., 2019, ‘Cognitive Radio and TV White Space (TVWS) Applications’, in Zhang, Wei ed. Handbook of Cognitive Radio. Singapore: Springer Nature Singapore Pte Ltd., pp. 1935–1970., https://oro.open.ac.uk/55362/.
  • Kouadri Mostéfaoui, S. and Wong, P., 2019, ‘Experiences on Designing and Presenting a Level 2 Information and Communication Technologies Open University Module’, in Horizons in STEM Higher Education 2019, 3-4 Jul 2019, Kingston University, UK., https://oro.open.ac.uk/61056/.
  • Wong, P., Reel, S., Wu, B., Kouadri Mostéfaoui, S. and Liu, H., 2018, ‘Identifying tweets from Syria refugees using a Random Forest classifier’, in The 2018 International Conference on Computational Science and Computational Intelligence (CSCI), 13-15 Dec 2018, Las Vegas, USA., https://oro.open.ac.uk/58359/.
  • Mahmood, A., Dooley, L. S. and Wong, P., 2018, ‘A content-aware quantisation mechanism for transform domain distributed video coding’, in The 2017 International Conference on Computational Science and Computational Intelligence, 14-16 Dec 2017, Las Vegas, USA., https://oro.open.ac.uk/52404/.