activity
20202022
most citedMachine Learning on the COVID-19 Pandemic, Human Mobility and Air Quality: A Review

95 citations · 172 across the 5 of their papers we have counts for

collaborators

5 papers

physics.soc-ph2022

Pandemic Vulnerability Index of US Cities: A Hybrid Knowledge-based and Data-driven Approach

Md. Shahinoor Rahman, Kamal Chandra Paul, Md. Mokhlesur Rahman +4

Cities become mission-critical zones during pandemics and it is vital to develop a better understanding of the factors that are associated with infection levels. The COVID-19 pande…

cs.CV2021★ 28 cited

An Improved Real-Time Face Recognition System at Low Resolution Based on Local Binary Pattern Histogram Algorithm and CLAHE

Kamal Chandra Paul, Semih Aslan

This research presents an improved real-time face recognition system at a low resolution of 15 pixels with pose and emotion and resolution variations. We have designed our datasets…

cs.CY2021★ 95 cited

Machine Learning on the COVID-19 Pandemic, Human Mobility and Air Quality: A Review

Md. Mokhlesur Rahman, Kamal Chandra Paul, Md. Amjad Hossain +3

The ongoing COVID-19 global pandemic is affecting every facet of human lives (e.g., public health, education, economy, transportation, and the environment). This novel pandemic and…

physics.soc-ph2020★ 49 cited

COVID-19 Pandemic Severity, Lockdown Regimes, and People Mobility: Early Evidence from 88 Countries

Md. Mokhlesur Rahman, Jean-Claude Thill, Kamal Chandra Paul

This study empirically investigates the complex interplay between the severity of the coronavirus pandemic, mobility changes in retail and recreation, transit stations, workplaces,…

cs.IR2020

Twitter and Census Data Analytics to Explore Socioeconomic Factors for Post-COVID-19 Reopening Sentiment

Md. Mokhlesur Rahman, G. G. Md. Nawaz Ali, Xue Jun Li +2

Investigating and classifying sentiments of social media users towards an item, situation, and system are very popular among the researchers. However, they rarely discuss the under…