89 citations · 123 across the 7 of their papers we have counts for
7 papers
Community-based Behavioral Understanding of Crisis Activity Concerns using Social Media Data: A Study on the 2023 Canadian Wildfires in New York City
Khondhaker Al Momin, Md Sami Hasnine, Arif Mohaimin Sadri
New York City (NYC) topped the global chart for the worst air pollution in June 2023, owing to the wildfire smoke drifting in from Canada. This unprecedented situation caused signi…
Leveraging Social Media Data to Identify Factors Influencing Public Attitude Towards Accessibility, Socioeconomic Disparity and Public Transportation
Khondhaker Al Momin, Arif Mohaimin Sadri, Md Sami Hasnine
This study proposes a novel method to understand the factors affecting individuals' perception of transport accessibility, socioeconomic disparity, and public infrastructure. As op…
A Data-driven Resilience Framework of Directionality Configuration based on Topological Credentials in Road Networks
H M Imran Kays, Khondhaker Al Momin, K. K. "Muralee" Muraleetharan +1
Roadway reconfiguration is a crucial aspect of transportation planning, aiming to enhance traffic flow, reduce congestion, and improve overall road network performance with existin…
Translating Social Media Crisis Narratives into Road Network Utilization Metrics: The Case of 2020 Oklahoma Ice Storm
H M Imran Kays, Khondhaker Al Momin, Menziwokuhle Bandise Thwala +2
Risk communication in times of disasters is complex, involving rapid and diverse communication in social networks (i.e., public and/or private agencies; local residents) as well as…
Identifying Crisis Response Communities in Online Social Networks for Compound Disasters: The Case of Hurricane Laura and Covid-19
Khondhaker Al Momin, H M Imran Kays, Arif Mohaimin Sadri
Online social networks allow different agencies and the public to interact and share the underlying risks and protective actions during major disasters. This study revealed such cr…
Short Duration Traffic Flow Prediction Using Kalman Filtering
Khondhaker Al Momin, Saurav Barua, Md. Shahreer Jamil +1
The research examined predicting short-duration traffic flow counts with the Kalman filtering technique (KFT), a computational filtering method. Short-term traffic prediction is an…
Image Data collection and implementation of deep learning-based model in detecting Monkeypox disease using modified VGG16
Md Manjurul Ahsan, Muhammad Ramiz Uddin, Mithila Farjana +3
While the world is still attempting to recover from the damage caused by the broad spread of COVID-19, the Monkeypox virus poses a new threat of becoming a global pandemic. Althoug…