Isuru Udayangani Hewapathirana
Dados Biográficos
| ID | 1847358 |
|---|---|
| NOME | Isuru Udayangani Hewapathirana |
| PRENOMES | Isuru Udayangani |
| SOBRENOME | Hewapathirana |
| ASSINATURA | HEWAPATHIRANA I U |
| AFILIAÇÕES | University of Kelaniya |
| ORCID | 0000-0003-4843-0993 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAÇÕES | 1 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2020 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2025 |
| ÍNDICE H | 1 |
Advancing tourism demand forecasting in Sri Lanka
Purpose This study explores the pioneering approach of utilising machine learning (ML) models and integrating social media data for predicting tourist arrivals in Sri Lanka. Design/methodology/approach Two sets of experiments are performed in this research. First, the predictive accuracy of three ML models, support vector regression (SVR), random forest (RF) and artificial neural network (ANN), is compared against the seasonal autoregressive inte…
Navigating the age of AI influence
This systematic literature review (SLR) delves into the realm of Artificial Intelligence (AI)-powered virtual influencers (VIs) in social media, examining trust factors, engagement strategies, VI efficacy compared to human influencers, ethical considerations, and future trends. Analyzing 60 academic articles from 2012 to 2024, drawn from reputable databases, the study applies specific inclusion and exclusion criteria. Both automated and manual se…
Change detection in noisy dynamic networks
Change detection in noisy dynamic networks
Navigating the age of AI influence
This systematic literature review (SLR) delves into the realm of Artificial Intelligence (AI)-powered virtual influencers (VIs) in social media, examining trust factors, engagement strategies, VI efficacy compared to human influencers, ethical considerations, and future trends. Analyzing 60 academic articles from 2012 to 2024, drawn from reputable databases, the study applies specific inclusion and exclusion criteria. Both automated and manual se…
Advancing tourism demand forecasting in Sri Lanka
Purpose This study explores the pioneering approach of utilising machine learning (ML) models and integrating social media data for predicting tourist arrivals in Sri Lanka. Design/methodology/approach Two sets of experiments are performed in this research. First, the predictive accuracy of three ML models, support vector regression (SVR), random forest (RF) and artificial neural network (ANN), is compared against the seasonal autoregressive inte…
Artificial Intelligence (2 obras) · Computer Science (2 obras) · Data mining (2 obras) · Digital Marketing and Social Media (2 obras) · Mathematics (2 obras) · Social media (2 obras) · Social science (2 obras) · Sociology (2 obras) · Accountability (1 obras) · Advanced Graph Neural Networks (1 obras)