| A culturally sensitive test to evaluate nuanced GPT hallucination TR McIntosh, T Liu, T Susnjak, P Watters, A Ng, MN Halgamuge IEEE Transactions on Artificial Intelligence, 2023 | 356 | 2023 |
| Ransomware reloaded: Re-examining its trend, research and mitigation in the era of data exfiltration T McIntosh, T Susnjak, T Liu, D Xu, P Watters, D Liu, Y Hao, A Ng, ... ACM Computing Surveys 57 (1), 1-40, 2024 | 345 | 2024 |
| Adoption of the Internet of Things (IoT) in Agriculture and Smart Farming towards Urban Greening: A Review AAR Madushanki, MN Halgamuge, WAHS Wirasagoda, A Syed International Journal of Advanced Computer Science and Applications (IJACSA …, 2019 | 337 | 2019 |
| Inadequacies of large language model benchmarks in the era of generative artificial intelligence TR McIntosh, T Susnjak, N Arachchilage, T Liu, D Xu, P Watters, ... IEEE Transactions on Artificial Intelligence, 2025 | 322 | 2025 |
| From Google Gemini to OpenAI Q*(Q-Star): A Survey of Reshaping the Generative Artificial Intelligence (AI) Research Landscape TR McIntosh, T Susnjak, T Liu, P Watters, MN Halgamuge Technologies 13 (2), 51, 2025 | 305 | 2025 |
| An estimation of sensor energy consumption MN Halgamuge, M Zukerman, K Ramamohanarao, HL Vu Progress In Electromagnetics Research B, 259-295, 2009 | 296 | 2009 |
| From COBIT to ISO 42001: Evaluating cybersecurity frameworks for opportunities, risks, and regulatory compliance in commercializing large language models TR McIntosh, T Susnjak, T Liu, P Watters, D Xu, D Liu, R Nowrozy, ... Computers & Security, 103964, 2024 | 257 | 2024 |
| The inadequacy of reinforcement learning from human feedback-radicalizing large language models via semantic vulnerabilities TR McIntosh, T Susnjak, T Liu, P Watters, MN Halgamuge IEEE Transactions on Cognitive and Developmental Systems 16 (4), 1561-1574, 2024 | 235 | 2024 |
| A game-theoretic approach to containing artificial general intelligence: Insights from highly autonomous aggressive malware TR McIntosh, T Susnjak, T Liu, P Watters, A Ng, MN Halgamuge IEEE Transactions on Artificial Intelligence 5 (12), 6290-6303, 2024 | 202 | 2024 |
| A reasoning and value alignment test to assess advanced gpt reasoning TR McIntosh, T Liu, T Susnjak, P Watters, MN Halgamuge ACM Transactions on Interactive Intelligent Systems 14 (3), 1-37, 2024 | 193 | 2024 |
| Effective text data preprocessing technique for sentiment analysis in social media data S Pradha, MN Halgamuge, NTQ Vinh 2019 11th IEEE International Conference on Knowledge and Systems Engineering …, 2019 | 193 | 2019 |
| Irrigation control based on model predictive control (MPC): Formulation of theory and validation using weather forecast data and AQUACROP model D Delgoda, H Malano, SK Saleem, MN Halgamuge Environmental Modelling & Software 78, 40-53, 2016 | 139 | 2016 |
| Impact of different data types on classifier performance of random forest, naive bayes, and k-nearest neighbors algorithms A Singh, MN Halgamuge, R Lakshmiganthan International Journal of Advanced Computer Science and Applications 8 (12), 1-10, 2017 | 138 | 2017 |
| Measurement and analysis of electromagnetic fields from trams, trains and hybrid cars MN Halgamuge, CD Abeyrathne, P Mendis Radiation protection dosimetry 141 (3), 255-268, 2010 | 112 | 2010 |
| Energy efficient cluster formation in wireless sensor networks MN Halgamuge, SM Guru, A Jennings 10th International Conference on Telecommunications (ICT'03), Papeete …, 2003 | 110 | 2003 |
| Internet of Things and autonomous control for vertical cultivation walls towards smart food growing: A review MN Halgamuge, A Bojovschi, PMJ Fisher, TC Le, S Adeloju, S Murphy Urban Forestry & Urban Greening 61, 127094, 2021 | 102 | 2021 |
| Analysis of large flood events: Based on flood data during 1985–2016 in Australia and India MN Halgamuge, A Nirmalathas International journal of disaster risk reduction 24, 1-11, 2017 | 101 | 2017 |
| The use and analysis of anti‐plagiarism software: Turnitin tool for formative assessment and feedback MN Halgamuge Computer Applications in Engineering Education 25 (6), 895-909, 2017 | 97 | 2017 |
| Best optimizer selection for predicting bushfire occurrences using deep learning MN Halgamuge, E Daminda, A Nirmalathas Natural Hazards 103 (1), 845-860, 2020 | 87 | 2020 |
| Modeling the Chaotic Semantic States of Generative Artificial Intelligence (AI): A Quantum Mechanics Analogy Approach T Liu, TR McIntosh, T Susnjak, P Watters, MN Halgamuge ACM Transactions on Intelligent Systems and Technology, 2025 | 85 | 2025 |
Timothy McintoshCyberoo Pty Ltd (AU)Verified email at cyberoo.ai
