[HTML][HTML] Central composite design application in the optimization of the effect of pumice stone on lightweight concrete properties using RSM

M Ali, A Kumar, A Yvaz, B Salah - Case Studies in Construction Materials, 2023 - Elsevier
Among other lightweight aggregates, one choice is pumice stone (PS), which can replace
coarse aggregates in concrete. In this study, the natural coarse aggregates are replaced by …

A Systematic Review of the Coopetition Relationship between Bike‐Sharing and Public Transit

J Ye, J Bai, WY Hao - Journal of Advanced Transportation, 2024 - Wiley Online Library
The sharing economy, mobile Internet, and smartphones have been widely utilized in recent
years to promote the development of bike‐sharing services. Bike‐sharing serves as a …

On hyperparameter optimization of machine learning methods using a Bayesian optimization algorithm to predict work travel mode choice

M Aghaabbasi, M Ali, M Jasiński, Z Leonowicz… - IEEE …, 2023 - ieeexplore.ieee.org
Prediction of work Travel mode choice is one of the most important parts of travel demand
forecasting. Planners can achieve sustainability goals by accurately forecasting how people …

An advanced machine learning approach to predicting pedestrian fatality caused by road crashes: A step toward sustainable pedestrian safety

W Tao, M Aghaabbasi, M Ali, AH Almaliki, R Zainol… - Sustainability, 2022 - mdpi.com
More than 8000 pedestrians were killed due to road crashes in Australia over the last 30
years. Pedestrians are assumed to be the most vulnerable users of roads. This susceptibility …

Comparative analysis of the optimized KNN, SVM, and ensemble DT models using Bayesian optimization for predicting pedestrian fatalities: an advance towards …

L Yang, M Aghaabbasi, M Ali, A Jan, B Bouallegue… - Sustainability, 2022 - mdpi.com
Over the past three decades, more than 8000 pedestrians have been killed in Australia due
to vehicular crashes. There is a general assumption that pedestrians are often the most …

Classification of imbalanced travel mode choice to work data using adjustable SVM model

Y Qian, M Aghaabbasi, M Ali, M Alqurashi, B Salah… - Applied Sciences, 2021 - mdpi.com
The investigation of travel mode choice is an essential task in transport planning and
policymaking for predicting travel demands. Typically, mode choice datasets are imbalanced …

Analysis of vehicle pedestrian crash severity using advanced machine learning techniques

SU Arifeen, M Ali, E Macioszek - Archives of transport, 2023 - archivesoftransport.com
In 2015, over 17% of pedestrians were killed during vehicle crashes in Hong Kong while it
raised to 18% from 2017 to 2019 and expected to be 25% in the upcoming decade. In Hong …

Hybrid Bayesian network models to investigate the impact of built environment experience before adulthood on students' tolerable travel time to campus: Towards …

Y Chen, M Aghaabbasi, M Ali, S Anciferov, L Sabitov… - Sustainability, 2021 - mdpi.com
This present study developed two predictive and associative Bayesian network models to
forecast the tolerable travel time of university students to campus. This study considered the …

How sustainable is people's travel to reach public transit stations to go to work? A machine learning approach to reveal complex relationships

P Tang, M Aghaabbasi, M Ali, A Jan, AM Mohamed… - Sustainability, 2022 - mdpi.com
Several previous studies examined the variables of public-transit-related walking and
privately owned vehicles (POVs) to go to work. However, most studies neglect the possible …

Real-time implementation of a fully automated industrial system based on IR 4.0 concept

B Salah - Actuators, 2021 - mdpi.com
With the advent of modern communication and control strategies, existing industrial
enterprises are now being transformed as per Industrial Revolution (IR) 4.0 standards to …