Search Results for author: Yi-Lin Tsai

Found 6 papers, 0 papers with code

Effective approaches to disaster evacuation during a COVID-like pandemic

no code implementations29 Aug 2022 Yi-Lin Tsai, Dymasius Y. Sitepu, Karyn E. Chappell, Rishi P. Mediratta, C. Jason Wang, Peter K. Kitanidis, Christopher B. Field

Therefore, we applied an age-structured epidemiological model, known as the Susceptible-Exposed-Infectious-Recovered (SEIR) model, to investigate to what extent different vaccine uptake levels and the Diversion protocol implemented in Taiwan decrease infections and delay pandemic peak occurrences.

Improving debris flow evacuation alerts in Taiwan using machine learning

no code implementations27 Aug 2022 Yi-Lin Tsai, Jeremy Irvin, Suhas Chundi, Andrew Y. Ng, Christopher B. Field, Peter K. Kitanidis

Towards improving this system, we implemented five machine learning models that input historical rainfall data and predict whether a debris flow will occur within a selected time.

Routing algorithms as tools for integrating social distancing with emergency evacuation

no code implementations5 Mar 2021 Yi-Lin Tsai, Chetanya Rastogi, Peter K. Kitanidis, Christopher B. Field

One of the lessons from the COVID-19 pandemic is the importance of social distancing, even in challenging circumstances such as pre-hurricane evacuation.

reinforcement-learning Reinforcement Learning (RL)

A Study on AI-FML Robotic Agent for Student Learning Behavior Ontology Construction

no code implementations18 Jun 2020 Chang-Shing Lee, Mei-Hui Wang, Wen-Kai Kuan, Zong-Han Ciou, Yi-Lin Tsai, Wei-Shan Chang, Lian-Chao Li, Naoyuki Kubota, Tzong-Xiang Huang, Eri Sato-Shimokawara, Toru Yamaguchi

In this paper, we propose an AI-FML robotic agent for student learning behavior ontology construction which can be applied in English speaking and listening domain.

PFML-based Semantic BCI Agent for Game of Go Learning and Prediction

no code implementations10 Jan 2019 Chang-Shing Lee, Mei-Hui Wang, Li-Wei Ko, Bo-Yu Tsai, Yi-Lin Tsai, Sheng-Chi Yang, Lu-An Lin, Yi-Hsiu Lee, Hirofumi Ohashi, Naoyuki Kubota, Nan Shuo

This paper presents a semantic brain computer interface (BCI) agent with particle swarm optimization (PSO) based on a Fuzzy Markup Language (FML) for Go learning and prediction applications.

Brain Computer Interface Game of Go

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