Babul Chandra Sarker
Biographic Data
| ID | 10970671 |
|---|---|
| NAME | Babul Chandra Sarker |
| GIVEN NAMES | Babul Chandra |
| FAMILY NAME | Sarker |
| SIGNATURE | SARKER B C |
| AFFILIATIONS | Trine University |
| ORCID | 0000-0003-0803-3838 |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Assessing Urban-Rural Income Disparities in the USA
Income inequality in the US is a major quagmire that requires a multifaceted understanding of the difference between urban and rural regions. This study seeks to utilize predictive analytics and machine learning methodologies to help analyze these disparities in a thorough manner. The principal objective of this research was to design machine learning models that classify and analyze the urban-rural gap in income by employing a blend of demograph…
Detecting Cryptocurrency Scams in the USA
The exponential growth of cryptocurrency implementation in the USA has brought with it a surge in correlated risks, particularly in the form of scams that exploit the relative novelty and complexity of digital currencies. The primary objective of this study was to develop machine algorithms for identifying fraud trends in cryptocurrency transactions. By employing complex analysis, this research project attempted to identify certain trends and beh…
Understanding Social Media Behavior in the USA
The swift advancement in social networking platforms has radically shifted the patterns and nature of how people connect with services and brands in America. The utmost objective of this research project was to implement artificial intelligence together with machine learning approaches for creating predictive models that forecast digital pattern development as well as user commitment through social media interactions within the United States. The…
No prominent works on this page.
Assessing Urban-Rural Income Disparities in the USA
Income inequality in the US is a major quagmire that requires a multifaceted understanding of the difference between urban and rural regions. This study seeks to utilize predictive analytics and machine learning methodologies to help analyze these disparities in a thorough manner. The principal objective of this research was to design machine learning models that classify and analyze the urban-rural gap in income by employing a blend of demograph…
Detecting Cryptocurrency Scams in the USA
The exponential growth of cryptocurrency implementation in the USA has brought with it a surge in correlated risks, particularly in the form of scams that exploit the relative novelty and complexity of digital currencies. The primary objective of this study was to develop machine algorithms for identifying fraud trends in cryptocurrency transactions. By employing complex analysis, this research project attempted to identify certain trends and beh…
Understanding Social Media Behavior in the USA
The swift advancement in social networking platforms has radically shifted the patterns and nature of how people connect with services and brands in America. The utmost objective of this research project was to implement artificial intelligence together with machine learning approaches for creating predictive models that forecast digital pattern development as well as user commitment through social media interactions within the United States. The…
Computer Science (3 works) · Data science (2 works) · Analytics (1 work) · Artificial Intelligence (1 work) · Blockchain Technology Applications and Security (1 work) · Computer security (1 work) · Cryptocurrency (1 work) · Digital Marketing and Social Media (1 work) · Econometrics (1 work) · Economics (1 work)