Using simulation model as a tool for analyzing bus service reliability and implementing improvement strategies SMH Moosavi, CW Yuen, A Ismail PLOS ONE, 2020 | 21 | 2020 |
A study on machine learning methods’ application for dye adsorption prediction onto agricultural waste activated carbon S Moosavi, O Manta, YA El-Badry, EE Hussein, ZM El-Bahy, ... Nanomaterials 11 (10), 2734, 2021 | 20 | 2021 |
Factors influencing pile friction bearing capacity: Proposing a novel procedure based on gradient boosted tree technique CY Huat, SMH Moosavi, AS Mohammed, DJ Armaghani, DV Ulrikh, ... Sustainability 13 (21), 11862, 2021 | 19 | 2021 |
Understanding and predicting the usage of shared electric scooter services on university campuses SMH Moosavi, Z Ma, DJ Armaghani, M Aghaabbasi, MD Ganggayah, ... Applied Sciences 12 (18), 9392, 2022 | 13 | 2022 |
Evaluating Bus Dwell Time at Key Stops Using Automatic Data Collection Systems SMH Moosavi, A Ismail, A Balali Institute of Transportation Engineers. ITE Journal 87 (11), 45-49, 2017 | 11 | 2017 |
A parametric study of ground vibration induced by quarry blasting: an application of group method of data handling J Zeng, AS Mohammed, F Mirzaei, SMH Moosavi, DJ Armaghani, ... Environmental Earth Sciences 81 (4), 127, 2022 | 10 | 2022 |
Development of simulation model to improve bus service reliability at high-frequency operation SMH Moosavi, A Ismail, A Golzadfar Jurnal Teknologi (Sciences, Engineering) 74 (3), 115-121, 2015 | 7 | 2015 |
Utilisation of recycled concrete aggregates for sustainable porous asphalt pavements CM Nwakaire, SP Yap, CC Onn, CW Yuen, SMH Moosavi The Baltic Journal of Road and Bridge Engineering 17 (1), 117-142, 2022 | 6 | 2022 |
Simulation-Based Sensitivity Analysis for Evaluating Factors Affecting Bus Service Reliability: A Big and Smart Data Implementation SMH Moosavi, CW Yuen, SP Yap, CC Onn IEEE Access 8, 201937 - 201955, 2020 | 6 | 2020 |
Measuring Bus Running Time Variation during High-Frequency Operation Using Automatic Data Collection Systems SMH Moosavi, CW Yuen Institute of Transportation Engineers. ITE Journal 90 (1), 45-49, 2020 | 6 | 2020 |
Evaluation of Applicability and Accuracy of Bus Travel Time Prediction in High and Low Frequency Bus Routes Using Tree-Based ML Techniques SMH Moosavi, M Aghaabbasi, CW Yuen, D Jahed Armaghani Journal of Soft Computing in Civil Engineering 7 (2), 74-97, 2023 | 4 | 2023 |
Evaluating bus running time variability in high-frequency operation using automatic data collection systems SMH Moosavi, A Ismail, A Balali Pertanika J Sci Technol 25, 2017 | 1 | 2017 |
A Study on Machine Learning Methods’ Application for Dye Adsorption Prediction onto Agricultural Waste Activated Carbon. Nanomaterials 2021, 11, 2734 S Moosavi, O Manta, YA El-Badry, EE Hussein, ZM El-Bahy, ... s Note: MDPI stays neu-tral with regard to jurisdictional claims in …, 2021 | | 2021 |
Celebrating the Past–Shaping the Future PE Tom Creasey, B Sampson, SMH Moosavi, CW Yuen | | 2020 |
The fundamental simulation model for bus service reliability at high-frequency operation SMH Moosavi UKM, Bangi, 2017 | | 2017 |