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Majbah Uddin
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2020 – today
- 2024
- [j2]Diyi Liu
, Hyeonsup Lim
Improving the accuracy of freight mode choice models: A case study using the 2017 CFS PUF data set and ensemble learning techniques. Expert Syst. Appl. 240: 122478 (2024) - [i6]Diyi Liu, Hyeonsup Lim, Majbah Uddin, Yuandong Liu, Lee D. Han, Ho-Ling Hwang, Shih-Miao Chin:
Improving the accuracy of freight mode choice models: A case study using the 2017 CFS PUF data set and ensemble learning techniques. CoRR abs/2402.00654 (2024) - [i5]Majbah Uddin, Sabreena Anowar, Naveen Eluru
Modeling Freight Mode Choice Using Machine Learning Classifiers: A Comparative Study Using the Commodity Flow Survey (CFS) Data. CoRR abs/2402.00659 (2024) - [i4]Majbah Uddin, Nathan Huynh, José M. Vidal, Kevin M. Taaffe, Lawrence D. Fredendall, Joel S. Greenstein:
Evaluation of Google's Voice Recognition and Sentence Classification for Health Care Applications. CoRR abs/2402.03369 (2024) - [i3]Majbah Uddin, Yuandong Liu, Hyeonsup Lim:
Exploring the Effects of Population and Employment Characteristics on Truck Flows: An Analysis of NextGen NHTS Origin-Destination Data. CoRR abs/2402.04019 (2024) - [i2]Yuandong Liu, Majbah Uddin, Shih-Miao Chin, Ho-Ling Hwang, Jiaoli Chen:
Examining Rail Transportation Route of Crude Oil in the United States Using Crowdsourced Social Media Data. CoRR abs/2402.04020 (2024) - 2023
- [i1]Majbah Uddin, Ho-Ling Hwang, Md Sami Hasnine:
An Interpretable Machine Learning Framework to Understand Bikeshare Demand before and during the COVID-19 Pandemic in New York City. CoRR abs/2311.06110 (2023) - 2020
- [j1]Majbah Uddin
Model for Collaboration among Carriers to Reduce Empty Container Truck Trips. Inf. 11(8): 377 (2020)
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