| A hybrid model of self-organizing maps (SOM) and least square support vector machine (LSSVM) for time-series forecasting S Ismail, A Shabri, R Samsudin Expert Systems with Applications 38 (8), 10574-10578, 2011 | 174 | 2011 |
| Machine learning approach for flood risks prediction N Razali, S Ismail, A Mustapha IAES International Journal of Artificial Intelligence 9 (1), 73, 2020 | 43 | 2020 |
| A hybrid model of self organizing maps and least square support vector machine for river flow forecasting S Ismail, A Shabri, R Samsudin Hydrology and Earth system sciences 16 (11), 4417-4433, 2012 | 43 | 2012 |
| Behavioural features for mushroom classification S Ismail, AR Zainal, A Mustapha 2018 IEEE symposium on computer applications & industrial electronics …, 2018 | 37 | 2018 |
| A comparative study of different imputation methods for daily rainfall data in east-coast Peninsular Malaysia SMCM Nor, SM Shaharudin, S Ismail, NH Zainuddin, ML Tan Bulletin of Electrical Engineering and Informatics 9 (2), 635-643, 2020 | 20 | 2020 |
| Time series forecasting using least square support vector machine for canadian lynx data S Ismail, A Shabri Jurnal Teknologi 70 (5), 2014 | 20 | 2014 |
| Predictive modelling of statistical downscaling based on hybrid machine learning model for daily rainfall in east-coast peninsular malaysia NAF Sulaiman, SM Shaharudin, S Ismail, NH Zainuddin, ML Tan, ... Symmetry 14 (5), 927, 2022 | 15 | 2022 |
| River flow forecasting: a hybrid model of self organizing maps and least square support vector machine S Ismail, R Samsudin, A Shabri Hydrol Earth Syst Sci Discuss 7 (5), 8179-8212, 2010 | 15 | 2010 |
| Electricity consumption forecasting using adaptive neuro-fuzzy inference system (ANFIS) KG Tay, H Muwafaq, WK Tiong, YY Choy Univers. J. Electr. Electron. Eng 6, 37-48, 2019 | 13 | 2019 |
| Short-term forecasting of daily confirmed COVID-19 cases in Malaysia using RF-SSA model SM Shaharudin, S Ismail, NA Hassan, ML Tan, NAF Sulaiman Frontiers in public health 9, 604093, 2021 | 11 | 2021 |
| Prediction of epidemic trends in COVID-19 with mann-kendall and recurrent forecasting-singular spectrum analysis SM Shaharudin, S Ismail, MS Samsudin, A Azid, ML Tan, MAA Basri Sains Malays 50 (4), 1131-1142, 2021 | 11 | 2021 |
| AI-powered COVID-19 forecasting: a comprehensive comparison of advanced deep learning methods MU Tariq, SB Ismail Osong Public Health and Research Perspectives 15 (2), 115, 2024 | 10 | 2024 |
| An efficient method to improve the clustering performance using hybrid robust principal component analysis-spectral biclustering in rainfall patterns identification SM Shaharudin, S Ismail, SMCM Nor, N Ahmad IAES International Journal of Artificial Intelligence 8 (3), 237, 2019 | 10 | 2019 |
| Deep learning in public health: Comparative predictive models for COVID-19 case forecasting MU Tariq, SB Ismail Plos one 19 (3), e0294289, 2024 | 9 | 2024 |
| Predictive modelling of covid-19 cases in Malaysia based on recurrent forecasting-singular spectrum analysis approach SM Shaharudin, S Ismail, ML Tan, NS Mohamed, N AininaFilzaSulaiman Int. J. Adv. Trends Comput. Sci. Eng 9, 2020 | 9 | 2020 |
| Harnessing the power of AI: Advanced deep learning models optimization for accurate SARS-CoV-2 forecasting MU Tariq, SB Ismail, M Babar, A Ahmad PloS one 18 (7), e0287755, 2023 | 8 | 2023 |
| Comparison of singular spectrum analysis forecasting algorithms for student’s academic performance during COVID-19 outbreak MFM Fuad, SM Shaharudin, S Ismail, NAM Samsudin, MF Zulfikri International Journal of Advanced Technology and Engineering Exploration 8 …, 2021 | 8 | 2021 |
| Emerging trend of transaction and investment: bitcoin price prediction using machine learning EC Loh, S Ismail International Journal 9 (1.4), 2020 | 8 | 2020 |
| Long short-term vs gated recurrent unit recurrent neural network for google stock price prediction AN Sadon, S Ismail, NS Jafri, SM Shaharudin 2021 2nd International Conference on Artificial Intelligence and Data …, 2021 | 7 | 2021 |
| The combination of autoregressive integrated moving average (arima) and support vector machines (svm) for daily rubber price forecasting LJ Jong, S Ismail, A Mustapha, MH Abd Wahab, SZS Idrus IOP Conference Series: Materials Science and Engineering 917 (1), 012044, 2020 | 7 | 2020 |