Md Abu Kawsar
Biographic Data
| ID | 10970402 |
|---|---|
| NAME | Md Abu Kawsar |
| GIVEN NAMES | Md Abu |
| FAMILY NAME | Kawsar |
| SIGNATURE | KAWSAR M A |
| AFFILIATIONS | Duquesne University |
| ORCID | 0000-0002-7751-4419 |
| 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…
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…
Designing and Deploying AI Models for Sustainable Logistics Optimization
The rapid evolution of Artificial Intelligence (AI) and Machine Learning (ML) has significantly transformed logistics and supply chain management, particularly in the pursuit of sustainability and eco-efficiency. This study explores AI-based methodologies for optimizing logistics operations in the USA, focusing on reducing environmental impact, improving fuel efficiency, and minimizing costs. Key AI applications include predictive analytics for d…
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…
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…
Designing and Deploying AI Models for Sustainable Logistics Optimization
The rapid evolution of Artificial Intelligence (AI) and Machine Learning (ML) has significantly transformed logistics and supply chain management, particularly in the pursuit of sustainability and eco-efficiency. This study explores AI-based methodologies for optimizing logistics operations in the USA, focusing on reducing environmental impact, improving fuel efficiency, and minimizing costs. Key AI applications include predictive analytics for d…
Computer Science (3 works) · Data science (2 works) · Analytics (1 work) · Business (1 work) · Digital Marketing and Social Media (1 work) · Econometrics (1 work) · Economics (1 work) · Engineering (1 work) · Geography (1 work) · Manufacturing engineering (1 work)