Proceedings of the International Conference on Intelligent Systems and Digital Transformation (ICISD 2025)

<Previous Article In Volume
Next Article In Volume>

PSMC: An Optimized Selfcare Assistance by Using TFA Deep Learning

Authors
C. Shakthivel1, J. P. Raghul Raghavendra2, C. M. Shivakumar3, M. Arun4, Subrahmanyam Nandigam5, *
1Student, Department of Computer Science and Engineering, Dr. M. G. R Educational & Research Institute, Chennai, India
2Student, Department of Computer Science and Engineering, Dr. M. G. R Educational & Research Institute, Chennai, India
3Student, Department of Computer Science and Engineering, Dr. M. G. R Educational & Research Institute, Chennai, India
4Assistant Professor, Department of Computer Science and Engineering, Dr. M. G. R Educational & Research Institute, Chennai, India
5Assistant Professor, Department of Computer Science and Engineering, Dr. M. G. R Educational & Research Institute, Chennai, India
*Corresponding author. Email: subrahmanyamnandigam.cse@dmgrdu.ac.in
Corresponding Author
Subrahmanyam Nandigam
Available Online 31 October 2025.
DOI
10.2991/978-94-6463-866-0_18How to use a DOI?
Keywords
Transformer Model Optimization; Transformer-Based Pain Assistance; NLP for Pain Management
Abstract

In the realm of artificial intelligence (AI), optimizing transformer-based large language models (LLMs) has gained significant traction. These models are pivotal in enhancing AI capabilities for various applications, including health and wellness support. Specifically, they can assist in addressing body cramps, a common condition that affects individuals globally. This paper presents a comprehensive survey on techniques and methodologies used for optimizing transformer-based LLMs to aid individuals experiencing body cramps. Various approaches are examined to improve model performance, efficiency, and applicability in healthcare. By exploring the potential of these sophisticated AI models, this paper contributes to AI research and underscores the importance of leveraging LLMs for addressing real-world health challenges.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the International Conference on Intelligent Systems and Digital Transformation (ICISD 2025)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
31 October 2025
ISBN
978-94-6463-866-0
ISSN
2589-4919
DOI
10.2991/978-94-6463-866-0_18How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - C. Shakthivel
AU  - J. P. Raghul Raghavendra
AU  - C. M. Shivakumar
AU  - M. Arun
AU  - Subrahmanyam Nandigam
PY  - 2025
DA  - 2025/10/31
TI  - PSMC: An Optimized Selfcare Assistance by Using TFA Deep Learning
BT  - Proceedings of the International Conference on Intelligent Systems and Digital Transformation (ICISD 2025)
PB  - Atlantis Press
SP  - 190
EP  - 206
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-866-0_18
DO  - 10.2991/978-94-6463-866-0_18
ID  - Shakthivel2025
ER  -