R Latha R Latha
Biographic Data
| ID | 10089109 |
|---|---|
| NAME | R Latha R Latha |
| GIVEN NAMES | R Latha R |
| FAMILY NAME | Latha |
| SIGNATURE | LATHA R L R |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
A Machine Learning – Enabled and Explainable Federated Framework for Synergizing Knowledge Systems, Cultural Heritage Preservation, and Skill Development in Sustainable Interdisciplinary Research
Due to the exponential increase in digital knowledge and adaptive skill development becoming necessary, in this day and age intelligent research frameworks also to be sustainable for sustainable cultural heritage protection. Traditional knowledge management systems and heritage preservation processes are problematic in that data processing is centralized and manual. They restrict scalability, interoperability, and data privacy. This paper propose…
An Intelligent Machine Learning–Driven Smart Library Framework Using Self-Supervised Knowledge-Aware Transformers and Graph Neural Networks for Knowledge Management, Digital Humanities, and Lifelong L…
For libraries to serve as intelligent digital ecosystems, they need an AI approach like advanced artificial intelligence can provide one with adaptive learning. It could turn libraries into intellectual digital ecosystems. The reliance of traditional library informatization systems on manual indexing and supervised models directly limits the scalability, transdisciplinary knowledge search platform mode. By taking an intelligent machine learning d…
No prominent works on this page.
A Machine Learning – Enabled and Explainable Federated Framework for Synergizing Knowledge Systems, Cultural Heritage Preservation, and Skill Development in Sustainable Interdisciplinary Research
Due to the exponential increase in digital knowledge and adaptive skill development becoming necessary, in this day and age intelligent research frameworks also to be sustainable for sustainable cultural heritage protection. Traditional knowledge management systems and heritage preservation processes are problematic in that data processing is centralized and manual. They restrict scalability, interoperability, and data privacy. This paper propose…
An Intelligent Machine Learning–Driven Smart Library Framework Using Self-Supervised Knowledge-Aware Transformers and Graph Neural Networks for Knowledge Management, Digital Humanities, and Lifelong L…
For libraries to serve as intelligent digital ecosystems, they need an AI approach like advanced artificial intelligence can provide one with adaptive learning. It could turn libraries into intellectual digital ecosystems. The reliance of traditional library informatization systems on manual indexing and supervised models directly limits the scalability, transdisciplinary knowledge search platform mode. By taking an intelligent machine learning d…
Big Data and Digital Economy (2 works) · Advanced Graph Neural Networks (1 work) · Advanced Technologies in Various Fields (1 work) · Artificial neural network (1 work) · Cultural heritage (1 work) · Digital library (1 work) · Explainable Artificial Intelligence (XAI (1 work) · Exploit (1 work) · Intelligent agent (1 work) · Knowledge base (1 work)