Blest215
Ph.D. candidate in Web Engineering and Service Computing Lab, School of Computing, Korea Advanced Institute of Science and Technology (KAIST)
Korea Advanced Institute of Science and Technology (KAIST)Daejeon, Republic of Korea
Pinned Repositories
blest215.github.io
Personal Blog of KyeongDeok Baek (blest215), Ph.D candidate in Web Engineering Lab, School of Computing, KAIST
DEOSA
Implementation of Dynamic Effect-driven Output-service Selection Agent (DEOSA) from the paper “Dynamic and Effect-driven Output Service Selection for IoT Environments Using Deep Reinforcement Learning”, IEEE Internet of Things Journal 2022
MLproject_RumorDetection
KAIST CS570 Team Project - Rumor Detection on Twitter
kaist-cs459
Hands on document for kaist CS459 class - 20161011
kaist-cs101.github.io
Github Pages for KAIST CS101 static website.
EDMS-Agent_ICWS2019
Experiment codes of Effect Driven Medium Selection Agent (EDMS-Agent) for the paper "Effect-driven Dynamic Selection of Physical Media for Visual IoT Services using Reinforcement Learning", ICWS 2019
KSC2020_IoT_Framework
next_generation_CPS
신뢰적인 지능형 CPS 복합체계 개발 및 On-the-fly 검증기술 - 2017년도 정부(과학기술정보통신부)의 재원으로 한국연구재단-차세대정보・컴퓨팅기술개발사업의 지원을 받아 수행된 연구 결과를 오픈소스로 공개하는 레포지토리입니다. (NRF-2017M3C4A7066210)
Project-TARDIS
sbse2017
Blest215's Repositories
Blest215/DEOSA
Implementation of Dynamic Effect-driven Output-service Selection Agent (DEOSA) from the paper “Dynamic and Effect-driven Output Service Selection for IoT Environments Using Deep Reinforcement Learning”, IEEE Internet of Things Journal 2022
Blest215/MLproject_RumorDetection
KAIST CS570 Team Project - Rumor Detection on Twitter
Blest215/blest215.github.io
Personal Blog of KyeongDeok Baek (blest215), Ph.D candidate in Web Engineering Lab, School of Computing, KAIST