Ibrahim Rashid Al Shamsi
Biographic Data
| ID | 9895107 |
|---|---|
| NAME | Ibrahim Rashid Al Shamsi |
| GIVEN NAMES | Ibrahim Rashid |
| FAMILY NAME | Al Shamsi |
| SIGNATURE | AL SHAMSI I R |
| AFFILIATIONS | Twitter (United States) |
| ORCID | 0000-0003-3741-6942 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Exploring the impact of generative AI technologies on education
This study provides empirical data on the impact of generative AI in education, with special emphasis on sustainable development goals (SDGs). By conducting a thorough analysis of the relationship between generative AI technologies and educational outcomes, this research fills a critical gap in the literature. The insights offered are valuable for policymakers seeking to leverage new educational technologies to support sustainable development. Us…
Leveraging clustering techniques to drive sustainable economic innovation in the India–Gulf interchange
The collaboration between India and the Gulf regions presents a promising opportunity for sustainable economic innovation amidst global challenges. However, there is a notable research gap in understanding how machine learning techniques, particularly clustering, can drive such innovation effectively in this context. Existing literature lacks tailored models for the India–Gulf interchange’s specific needs. This study aims to fill this gap by inve…
No prominent works on this page.
Exploring the impact of generative AI technologies on education
This study provides empirical data on the impact of generative AI in education, with special emphasis on sustainable development goals (SDGs). By conducting a thorough analysis of the relationship between generative AI technologies and educational outcomes, this research fills a critical gap in the literature. The insights offered are valuable for policymakers seeking to leverage new educational technologies to support sustainable development. Us…
Leveraging clustering techniques to drive sustainable economic innovation in the India–Gulf interchange
The collaboration between India and the Gulf regions presents a promising opportunity for sustainable economic innovation amidst global challenges. However, there is a notable research gap in understanding how machine learning techniques, particularly clustering, can drive such innovation effectively in this context. Existing literature lacks tailored models for the India–Gulf interchange’s specific needs. This study aims to fill this gap by inve…
Computer Science (2 works) · Artificial Intelligence (1 work) · Business (1 work) · Cluster analysis (1 work) · Economic and Technological Innovation (1 work) · Economics (1 work) · Economy (1 work) · Engineering (1 work) · Engineering Education and Technology (1 work) · Engineering ethics (1 work)