V
Vuban Chowdhury Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
unknown
3 h-index
8 pubs
38 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Vuban Chowdhury's research investigates the adoption of low-carbon transportation technologies, focusing on the factors influencing the transition to electric vehicles (EVs) in multi-vehicle households within the United States. His work employs machine learning techniques to analyze vehicle choice patterns and understand user preferences. Additionally, Chowdhury has explored the drivers for adopting low-carbon transportation in California's heavy-duty and off-road sectors, aiming to decode behavioral catalysts for this green transition. His research also extends to practical applications, including the development of real-time helmet violation detection systems using ensemble learning and YOLOv5, and the prediction of noise levels in urban environments using artificial neural networks and regression models. Chowdhury has co-authored several publications with collaborators at the University of Arkansas at Fayetteville, including Suman Mitra, Sarah Hernandez, and Farzana Mehzabin Tuli.
Metrics
- h-index: 3
- Publications: 8
- Citations: 38
Selected Publications
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Electric Vehicle Usage Patterns in Multi-Vehicle Households in the US: A Machine Learning Study (2024)
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Unraveling Electric Vehicle Preference: A Machine Learning Analysis of Vehicle Choice in Multi-Vehicle Households in the United States (2024)
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Sustainable Shift: Analyzing Drivers for Low-Carbon Transportation Adoption in California’s Heavy-Duty and Off-Road Sectors (2024)
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Decoding Green Transition: Unraveling Behavioral Catalysts in the Adoption of Low-Carbon Transportation for Heavy-Duty Vehicles and Off-Road Equipment in California (2023)
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Unraveling Electric Vehicle Preference: A Machine Learning Analysis of Vehicle Choice in Multi-Vehicle Households in the United States (2023)
Collaboration Network
Top Collaborators
Suman Mitra
University of Arkansas at Fayetteville
5 shared publications
In database
- Sustainable Shift: Analyzing Drivers for Low-Carbon Transportation Adoption in California’s Heavy-Duty and Off-Road Sectors
- Electric Vehicle Usage Patterns in Multi-Vehicle Households in the US: A Machine Learning Study
- Decoding Green Transition: Unraveling Behavioral Catalysts in the Adoption of Low-Carbon Transportation for Heavy-Duty Vehicles and Off-Road Equipment in California
- Unraveling Electric Vehicle Preference: A Machine Learning Analysis of Vehicle Choice in Multi-Vehicle Households in the United States
- Unraveling Electric Vehicle Preference: A Machine Learning Analysis of Vehicle Choice in Multi-Vehicle Households in the United States
Sarah Hernandez
University of Arkansas at Fayetteville
3 shared publications
In database
- Electric Vehicle Usage Patterns in Multi-Vehicle Households in the US: A Machine Learning Study
- Unraveling Electric Vehicle Preference: A Machine Learning Analysis of Vehicle Choice in Multi-Vehicle Households in the United States
- Unraveling Electric Vehicle Preference: A Machine Learning Analysis of Vehicle Choice in Multi-Vehicle Households in the United States
Tajkia Tofa
2 shared publications
- Comparison of regression model and artificial neural network model in noise prediction in a mixed area of Dhaka City
- Extent and distribution of microplastic contamination in the benthic sediment of Turag river in Bangladesh
Farzana Mehzabin Tuli
University of Arkansas at Fayetteville
2 shared publications
In database
- Sustainable Shift: Analyzing Drivers for Low-Carbon Transportation Adoption in California’s Heavy-Duty and Off-Road Sectors
- Decoding Green Transition: Unraveling Behavioral Catalysts in the Adoption of Low-Carbon Transportation for Heavy-Duty Vehicles and Off-Road Equipment in California
Shafkath Nur
1 shared publication
- Extent and distribution of microplastic contamination in the benthic sediment of Turag river in Bangladesh
Md. Rwanakul Chowdhury
1 shared publication
- Extent and distribution of microplastic contamination in the benthic sediment of Turag river in Bangladesh
Sagupth Zarif
1 shared publication
- Comparison of regression model and artificial neural network model in noise prediction in a mixed area of Dhaka City
Mubashir Laskar
1 shared publication
- Comparison of regression model and artificial neural network model in noise prediction in a mixed area of Dhaka City
Geoffery Agorku
1 shared publication
- Real-Time Helmet Violation Detection Using YOLOv5 and Ensemble Learning
Divine Agbobli
1 shared publication
- Real-Time Helmet Violation Detection Using YOLOv5 and Ensemble Learning
Kwadwo Amankwah-Nkyi
1 shared publication
In database
- Real-Time Helmet Violation Detection Using YOLOv5 and Ensemble Learning
Adedolapo Ogungbire
1 shared publication
In database
- Real-Time Helmet Violation Detection Using YOLOv5 and Ensemble Learning
Portia Ankamah Lartey
1 shared publication
- Real-Time Helmet Violation Detection Using YOLOv5 and Ensemble Learning
Armstrong Aboah
1 shared publication
- Real-Time Helmet Violation Detection Using YOLOv5 and Ensemble Learning
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