Large Language Models: Revolutionizing Pervasive Computing

This paper explores the transformative role of Large Language Models (LLMs) in advancing pervasive computing and examines how LLMs enhance natural language processing, context awareness, and multimodal integration, thereby enabling more intuitive human-computer interactions and intelligent environments. The paper also addresses the challenges and future prospects of integrating LLMs into pervasive computing systems, including detailed case studies demonstrating practical applications.

Authors

Publication Details

Journal
International Journal of Computer Trends and Technology
Published
2024-08-31
DOI
https://doi.org/10.14445/22312803/ijctt-v72i8p118
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Large Language Models: Revolutionizing Pervasive Computing

Meenakshi Sundaram Ambasamudram Sailappan
International Journal of Computer Trends and Technology
Semantic Web and Ontologies
article

Large Language Models: Revolutionizing Pervasive Computing

Meenakshi Sundaram Ambasamudram Sailappan
article en

Abstract

This paper explores the transformative role of Large Language Models (LLMs) in advancing pervasive computing and examines how LLMs enhance natural language processing, context awareness, and multimodal integration, thereby enabling more intuitive human-computer interactions and intelligent environments. The paper also addresses the challenges and future prospects of integrating LLMs into pervasive computing systems, including detailed case studies demonstrating practical applications.

International Journal of Computer Trends and TechnologyVol. 72(8)
Openalex Percentile: Top 86%
Semantic Web and Ontologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Large Language Models: Revolutionizing Pervasive Computing — Meenakshi Sundaram Ambasamudram Sailappan · International Journal of Computer Trends and Technology (2024) | TGRS Research Map | TGRS