| Integrity assessment of corroded oil and gas pipelines using machine learning: A systematic review AA Soomro, AA Mokhtar, JC Kurnia, N Lashari, H Lu, C Sambo Engineering Failure Analysis 131, 105810, 2022 | 78 | 2022 |
| A review on Bayesian modeling approach to quantify failure risk assessment of oil and gas pipelines due to corrosion AA Soomro, AA Mokhtar, JC Kurnia, N Lashari, U Sarwar, SM Jameel, ... International Journal of Pressure Vessels and Piping 200, 104841, 2022 | 28 | 2022 |
| A review on application of nanoparticles in cEOR: Performance, mechanisms, and influencing parameters D Kumar, N Lashari, T Ganat, MA Ayoub, AA Soomro, TA Chandio Journal of Molecular Liquids 353, 118821, 2022 | 13 | 2022 |
| Modelling Techniques Used in The Analysis of Stratified Thermal Energy Storage: A Review AA Soomro, AA Mokhtar, A Akbar, A Abbasi MATEC Web of Conferences 225, 01015, 2018 | 8 | 2018 |
| Machine Learning Approach to Predict the Performance of a Stratified Thermal Energy Storage Tank at a District Cooling Plant Using Sensor Data AA Soomro, AA Mokhtar, WM Salilew, ZA Abdul Karim, A Abbasi, ... Sensors 22 (19), 7687, 2022 | 7 | 2022 |
| Deep learning-based reliability model for oil and gas pipeline subjected to stress corrosion cracking: A review and concept AA Soomro, AA Mokhtar, JC Kurnia, H Lu Journal of Hunan University Natural Sciences 48 (5), 2021 | 5 | 2021 |
| Performance assessment of stratified chilled water thermal energy storage tank at district cooling plant MAA Majid, PS Hui, AA Soomro IOP Conference Series: Materials Science and Engineering 863 (1), 012032, 2020 | 4 | 2020 |
| Analysis of machine learning models and data sources to forecast burst pressure of petroleum corroded pipelines: A comprehensive review AA Soomro, AA Mokhtar, HB Hussin, N Lashari, TL Oladosu, SM Jameel, ... Engineering Failure Analysis 155, 107747, 2024 | 3 | 2024 |
| Prediction of performance parameters of stratified TES tank using artificial neural network AA Soomro, AA Mokhtar AIP Conference Proceedings 2035 (1), 2018 | 3 | 2018 |
| Artificial neural network modelling approach for assessment of stratified thermal energy storage tank MA Abd Majid, AA Soomro, A Akmar | 3 | 2006 |
| Enhancing pipeline integrity: a comprehensive review of deep learning-enabled finite element analysis for stress corrosion cracking prediction U Sarwar, AA Mokhtar, M Muhammad, RK Wassan, AA Soomro, ... Engineering Applications of Computational Fluid Mechanics 18 (1), 2302906, 2024 | 2 | 2024 |
| Optimization and Modelling of Resistance Spot Welding Process Parameters for Quality Improvement Using Taguchi Method and Artificial Neural Network. IA Soomro, SR Pedapati, M Awang, AA Soomro, MA Alam, BA Bhayo Iranian Journal of Materials Science & Engineering 19 (4), 2022 | 2 | 2022 |
| Prediction of the thermodynamic hydrate formation conditions for methane gas A Abbasi, AA Soomro, FM Hashim ARPN Journal of Engineering and Applied Sciences 17 (2), 160-165, 2022 | 1 | 2022 |
| Image quality improvement using local adaptive neighborhood-based dark channel prior T Onoyama, H Lu, AA Soomro, AA Mokhtar, T Kamiya, S Serikawa International Symposium on Artificial Intelligence and Robotics 2021 11884 …, 2021 | 1 | 2021 |
| Single image reflection removal using meta-learning S Ishiyama, H Lu, AA Soomro, AA Mokhtar Journal of Electronic Imaging 31 (4), 041209-041209, 2022 | | 2022 |
| A novel single image reflection removal method S Ishiyama, H Lu, AA Soomro, AA Mokhtar International Symposium on Artificial Intelligence and Robotics 2021 11884 …, 2021 | | 2021 |
Ainul Akmar MokhtarAssociate Professor, Universiti Teknologi PETRONAS在 petronas.com.my 的电子邮件经过验证
