| Pipeline failures in corrosive environments–A conceptual analysis of trends and effects CI Ossai, B Boswell, IJ Davies Engineering Failure Analysis 53, 36-58, 2015 | 258 | 2015 |
| Advances in asset management techniques: An overview of corrosion mechanisms and mitigation strategies for oil and gas pipelines CI Ossai International Scholarly Research Notices 2012 (1), 570143, 2012 | 144 | 2012 |
| A data-driven machine learning approach for corrosion risk assessment—a comparative study CI Ossai Big Data and Cognitive Computing 3 (2), 28, 2019 | 84 | 2019 |
| Corrosion defect modelling of aged pipelines with a feed-forward multi-layer neural network for leak and burst failure estimation CI Ossai Engineering Failure Analysis 110, 104397, 2020 | 81 | 2020 |
| Markov chain modelling for time evolution of internal pitting corrosion distribution of oil and gas pipelines CI Ossai, B Boswell, I Davies Engineering failure analysis 60, 209-228, 2016 | 73 | 2016 |
| The role of AI for developing digital twins in healthcare: The case of cancer care R Kaul, C Ossai, ARM Forkan, PP Jayaraman, J Zelcer, S Vaughan, ... Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 13 (1 …, 2023 | 63 | 2023 |
| Nanostructure and nanomaterial characterization, growth mechanisms, and applications CI Ossai, N Raghavan Nanotechnology Reviews 7 (2), 209-231, 2018 | 57 | 2018 |
| A Markovian approach for modelling the effects of maintenance on downtime and failure risk of wind turbine components CI Ossai, B Boswell, IJ Davies Renewable energy 96, 775-783, 2016 | 51 | 2016 |
| Application of Markov modelling and Monte Carlo simulation technique in failure probability estimation—A consideration of corrosion defects of internally corroded pipelines CI Ossai, B Boswell, IJ Davies Engineering Failure Analysis 68, 159-171, 2016 | 48 | 2016 |
| Predictive modelling of internal pitting corrosion of aged non-piggable pipelines CI Ossai, B Boswell, IJ Davies Journal of The Electrochemical Society 162 (6), C251, 2015 | 36 | 2015 |
| Estimation of internal pit depth growth and reliability of aged oil and gas pipelines—A Monte Carlo simulation approach CI Ossai, B Boswell, IJ Davies Corrosion 71 (8), 977-991, 2015 | 27 | 2015 |
| Sustainable asset integrity management: Strategic imperatives for economic renewable energy generation CI Ossai, B Boswell, IJ Davies Renewable energy 67, 143-152, 2014 | 27 | 2014 |
| Pipeline corrosion prediction and reliability analysis: a systematic approach with Monte Carlo simulation and degradation models CI Ossai Int. J. Sci. Technol. Res 2 (3), 58-69, 2013 | 27 | 2013 |
| Intelligent decision support with machine learning for efficient management of mechanical ventilation in the intensive care unit–A critical overview CI Ossai, N Wickramasinghe International Journal of Medical Informatics 150, 104469, 2021 | 24 | 2021 |
| GLCM and statistical features extraction technique with Extra-Tree Classifier in Macular Oedema risk diagnosis CI Ossai, N Wickramasinghe Biomedical Signal Processing and Control 73, 103471, 2022 | 23 | 2022 |
| Digital twins to enable better precision and personalized dementia care N Wickramasinghe, N Ulapane, A Andargoli, C Ossai, N Shuakat, ... JAMIA open 5 (3), ooac072, 2022 | 22 | 2022 |
| Stochastic modelling of perfect inspection and repair actions for leak–failure prone internal corroded pipelines CI Ossai, B Boswell, IJ Davies Engineering Failure Analysis 60, 40-56, 2016 | 21 | 2016 |
| Optimal renewable energy generation – Approaches for managing ageing assets mechanisms CI Ossai Renewable and Sustainable Energy Reviews 72, 269-280, 2017 | 20 | 2017 |
| Statistical characterization of the state-of-health of lithium-ion batteries with Weibull distribution function—A consideration of random effect model in charge capacity decay … CI Ossai, N Raghavan batteries 3 (4), 32, 2017 | 18 | 2017 |
| Real-time state-of-health monitoring of lithium-ion battery with anomaly detection, Levenberg–Marquardt algorithm, and multiphase exponential regression model CI Ossai, IP Egwutuoha Neural Computing and Applications 33 (4), 1193-1206, 2021 | 15 | 2021 |
Brian BoswellCurtin University在 curtin.edu.au 的电子邮件经过验证
