Hamed Naseri
Biographic Data
| ID | 3054461 |
|---|---|
| NAME | Hamed Naseri |
| GIVEN NAMES | Hamed |
| FAMILY NAME | Naseri |
| SIGNATURE | NASERI H |
| AFFILIATIONS | Polytechnique Montréal |
| ORCID | 0000-0002-4151-330X |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Which variables influence electric vehicle adoption
Barriers to car-free streets
Satisfaction in pedestrianized areas
One of the approaches to improve the livability, safety, and accessibility of cities and to make neighborhoods livable places for all their residents is implementing car-free projects. Although pedestrianization provides many benefits, public resistance is sometimes directed against these projects. Based on a database of 95 variables collected through an online survey with over 1300 respondents in Montreal, Canada, this study aims to explore diff…
A novel evolutionary learning to prepare sustainable concrete mixtures with supplementary cementitious materials
How to effectively communicate about greenhouse gas emissions with different populations
Application of Machine Learning to Child Mode Choice with a Novel Technique to Optimize Hyperparameters
Travel mode choice (TMC) prediction is crucial for transportation planning. Most previous studies have focused on TMC in adults, whereas predicting TMC in children has received less attention. On the other hand, previous children’s TMC prediction studies have generally focused on home-to-school TMC. Hence, LIGHT GRADIENT BOOSTING MACHINE (LGBM), as a robust machine learning method, is applied to predict children’s TMC and detect its determinants …
Toward sustainability in optimizing the fly ash concrete mixture ingredients by introducing a new prediction algorithm
Application of Machine Learning to Child Mode Choice with a Novel Technique to Optimize Hyperparameters
Travel mode choice (TMC) prediction is crucial for transportation planning. Most previous studies have focused on TMC in adults, whereas predicting TMC in children has received less attention. On the other hand, previous children’s TMC prediction studies have generally focused on home-to-school TMC. Hence, LIGHT GRADIENT BOOSTING MACHINE (LGBM), as a robust machine learning method, is applied to predict children’s TMC and detect its determinants …
Toward sustainability in optimizing the fly ash concrete mixture ingredients by introducing a new prediction algorithm
A novel evolutionary learning to prepare sustainable concrete mixtures with supplementary cementitious materials
How to effectively communicate about greenhouse gas emissions with different populations
Barriers to car-free streets
Satisfaction in pedestrianized areas
One of the approaches to improve the livability, safety, and accessibility of cities and to make neighborhoods livable places for all their residents is implementing car-free projects. Although pedestrianization provides many benefits, public resistance is sometimes directed against these projects. Based on a database of 95 variables collected through an online survey with over 1300 respondents in Montreal, Canada, this study aims to explore diff…
Which variables influence electric vehicle adoption
Computer Science (4 works) · Engineering (4 works) · Environmental Science (3 works) · Urban Transport and Accessibility (3 works) · Business (2 works) · Climate change (2 works) · Composite material (2 works) · Compressive strength (2 works) · Concrete and Cement Materials Research (2 works) · Economics (2 works)