Majbah Uddin

According to our database, Majbah Uddin authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Improving the accuracy of freight mode choice models: A case study using the 2017 CFS PUF data set and ensemble learning techniques.

Diyi Liu, Hyeonsup Lim, Majbah Uddin, Yuandong Liu, Lee D. Han, Ho-Ling Hwang, Shih-Miao Chin

Expert Syst. Appl., 2024

Examining Rail Transportation Route of Crude Oil in the United States Using Crowdsourced Social Media Data.

Yuandong Liu, Majbah Uddin, Shih-Miao Chin, Ho-Ling Hwang, Jiaoli Chen

CoRR, 2024

Exploring the Effects of Population and Employment Characteristics on Truck Flows: An Analysis of NextGen NHTS Origin-Destination Data.

Majbah Uddin, Yuandong Liu, Hyeonsup Lim

CoRR, 2024

Evaluation of Google's Voice Recognition and Sentence Classification for Health Care Applications.

Majbah Uddin, Nathan Huynh, José M. Vidal, Kevin M. Taaffe, Lawrence D. Fredendall, Joel S. Greenstein

CoRR, 2024

Modeling Freight Mode Choice Using Machine Learning Classifiers: A Comparative Study Using the Commodity Flow Survey (CFS) Data.

Majbah Uddin, Sabreena Anowar, Naveen Eluru

CoRR, 2024

2023

An Interpretable Machine Learning Framework to Understand Bikeshare Demand before and during the COVID-19 Pandemic in New York City.

Majbah Uddin, Ho-Ling Hwang, Md Sami Hasnine

CoRR, 2023

2020

Model for Collaboration among Carriers to Reduce Empty Container Truck Trips.

Majbah Uddin, Nathan Huynh

Inf., 2020