MD Abdul Fahim Zeeshan
Biographic Data
| ID | 6953335 |
|---|---|
| NAME | MD Abdul Fahim Zeeshan |
| GIVEN NAMES | MD Abdul Fahim |
| FAMILY NAME | Zeeshan |
| SIGNATURE | ZEESHAN M A F |
| AFFILIATIONS | Gannon University |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
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…
AI-Driven Predictive Modeling for Banking Customer Churn
The US banking sector is operating within a very dynamic and competitive environment, providing a wide array of services under the pressure of increasingly demanding customers. Customer churn in the context of financial institutions is defined as the phenomenon of customers terminating their relationship with a bank. The central tenet of this research project was to devise and develop predictive models of artificial intelligence that can help add…
Machine Learning-Driven Analysis of Low-Carbon Technology Trade and Its Economic Impact in the USA
The transition to sustainable energy is paramount for addressing climate change, and low-carbon technologies play a pivotal role in this shift in the USA. The prime objective of this research paper was to apply the capabilities of machine learning in an examination of America's low-carbon technology trading. With powerful analysis tools, we attempted to detect trends in exporting and importing, estimate the contribution of such technology to the …
Secure Energy Transactions Using Blockchain – Leveraging AI for Fraud Detection and Energy Market Stability
Peer-to-peer trading and the move to decentralized grids have reshaped the energy markets in the United States. Notwithstanding, such developments lead to new challenges, mainly regarding the safety and authenticity of energy trade. This study aimed to develop and build a secure, intelligent, and efficient energy transaction system for the decentralized US energy market. This research interlinks the technological prowess of blockchain and artific…
No prominent works on this page.
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…
AI-Driven Predictive Modeling for Banking Customer Churn
The US banking sector is operating within a very dynamic and competitive environment, providing a wide array of services under the pressure of increasingly demanding customers. Customer churn in the context of financial institutions is defined as the phenomenon of customers terminating their relationship with a bank. The central tenet of this research project was to devise and develop predictive models of artificial intelligence that can help add…
Machine Learning-Driven Analysis of Low-Carbon Technology Trade and Its Economic Impact in the USA
The transition to sustainable energy is paramount for addressing climate change, and low-carbon technologies play a pivotal role in this shift in the USA. The prime objective of this research paper was to apply the capabilities of machine learning in an examination of America's low-carbon technology trading. With powerful analysis tools, we attempted to detect trends in exporting and importing, estimate the contribution of such technology to the …
Secure Energy Transactions Using Blockchain – Leveraging AI for Fraud Detection and Energy Market Stability
Peer-to-peer trading and the move to decentralized grids have reshaped the energy markets in the United States. Notwithstanding, such developments lead to new challenges, mainly regarding the safety and authenticity of energy trade. This study aimed to develop and build a secure, intelligent, and efficient energy transaction system for the decentralized US energy market. This research interlinks the technological prowess of blockchain and artific…
Computer Science (4 works) · Business (2 works) · Agricultural economics (1 work) · Blockchain (1 work) · Blockchain Technology Applications and Security (1 work) · Carbon fibers (1 work) · Computer security (1 work) · Currency Recognition and Detection (1 work) · Customer churn and segmentation (1 work) · Data science (1 work)