2 citations · 3 across the 6 of their papers we have counts for
3 papers · 1 filter
RAG-HAR: Retrieval Augmented Generation-based Human Activity Recognition
Nirhoshan Sivaroopan, Hansi Karunarathna, Chamara Madarasingha +2
Human Activity Recognition (HAR) underpins applications in healthcare, rehabilitation, fitness tracking, and smart environments, yet existing deep learning approaches demand datase…
A Comprehensive Survey on Network Traffic Synthesis: From Statistical Models to Deep Learning
Nirhoshan Sivaroopan, Kaushitha Silva, Chamara Madarasingha +4
Synthetic network traffic generation has emerged as a promising alternative for various data-driven applications in the networking domain. It enables the creation of synthetic data…
Univariate to Multivariate: LLMs as Zero-Shot Predictors for Time-Series Forecasting
Chamara Madarasingha, Nasrin Sohrabi, Zahir Tari
Time-series prediction or forecasting is critical across many real-world dynamic systems, and recent studies have proposed using Large Language Models (LLMs) for this task due to t…