R Latha
Biographic Data
| ID | 8070526 |
|---|---|
| NAME | R Latha |
| GIVEN NAMES | R |
| FAMILY NAME | Latha |
| SIGNATURE | LATHA R |
| AFFILIATIONS | Open International University for Alternative Medicines |
| VERIFIED | No |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| 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…
Digital Financial Services and Financial Inclusion
This research investigates the transformative role of Digital Financial Services (DFS) in enhancing financial inclusion within the urban context of Bengaluru. As digitalisation reshapes the banking sector, particularly post-demonetisation, platforms like UPI, mobile banking, and digital wallets have redefined consumer access to financial systems. This study combines empirical data and secondary research to examine DFS usage trends, identify key b…
Impacts of future urbanization on urban microclimate and thermal comfort over the Mumbai metropolitan region, India
This study examines the microclimatic impacts of future urbanization over the Mumbai Metropolitan Region (MMR) in India using a dynamic downscaling approach. Initially, two numerical experiments (curr_exp and fut_exp) were carried out by integrating 2018 and 2050 land-use/land-cover patterns under the same meteorological conditions. Afterwards, the spatial and temporal changes in surface air temperature, wind speed, and thermal discomfort were as…
Generalized approach of convolutional and pooling layer in image processing using wavelet CNN
Spatial and spectral approaches area unit two major approaches for image processing tasks like and beholding. Among several such algorithms, convolutional neural networks (CNNs) have recently achieved significant performance improvement in several difficult tasks. CNNs enable the nation to utilize spectral data that is usually lost in typical CNNs however helpful in most image processing tasks. We tend to evaluate the sensitivity performance of W…
No prominent works on this page.
Impacts of future urbanization on urban microclimate and thermal comfort over the Mumbai metropolitan region, India
This study examines the microclimatic impacts of future urbanization over the Mumbai Metropolitan Region (MMR) in India using a dynamic downscaling approach. Initially, two numerical experiments (curr_exp and fut_exp) were carried out by integrating 2018 and 2050 land-use/land-cover patterns under the same meteorological conditions. Afterwards, the spatial and temporal changes in surface air temperature, wind speed, and thermal discomfort were as…
Generalized approach of convolutional and pooling layer in image processing using wavelet CNN
Spatial and spectral approaches area unit two major approaches for image processing tasks like and beholding. Among several such algorithms, convolutional neural networks (CNNs) have recently achieved significant performance improvement in several difficult tasks. CNNs enable the nation to utilize spectral data that is usually lost in typical CNNs however helpful in most image processing tasks. We tend to evaluate the sensitivity performance of W…
Digital Financial Services and Financial Inclusion
This research investigates the transformative role of Digital Financial Services (DFS) in enhancing financial inclusion within the urban context of Bengaluru. As digitalisation reshapes the banking sector, particularly post-demonetisation, platforms like UPI, mobile banking, and digital wallets have redefined consumer access to financial systems. This study combines empirical data and secondary research to examine DFS usage trends, identify key b…
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 Image Fusion Techniques (1 work) · Advanced Technologies in Various Fields (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Business (1 work) · Civil engineering (1 work) · Climate variability and models (1 work) · Climatology (1 work)