Follow
Seyed Mohammad Hossein Moosavi
Seyed Mohammad Hossein Moosavi
Post doctoral, University of Malaya
Verified email at um.edu.my
Title
Cited by
Cited by
Year
Using simulation model as a tool for analyzing bus service reliability and implementing improvement strategies
SMH Moosavi, CW Yuen, A Ismail
PLOS ONE, 2020
212020
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
192021
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
182021
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
132022
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
102022
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
102017
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
72015
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
62022
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
62020
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
62020
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
42023
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
12017
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
The system can't perform the operation now. Try again later.
Articles 1–15