[Shahzeb통합, Tunnelling~, JCR10%] Deep-AI soft sensor at sensor devoid space (Deep-AI 소프트센서-A zero-shot transfer learning) | ||
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Hi EMSEL, I am pleased to inform you that Shahzeb(MSc-Ph.D student), Jorge(MSc-Ph.D student), Dr. KiJeon Nam(SEC), SangYun Kim(MSc student)'s paper has been published for publication in Tunnelling and Underground Space Technology (SCI, IF 6.4, JCR TOP 10%) Journal: Tunnelling and Underground Space Technology (ISSN: 0886-7798, SCIE, Top 10% journal: Civil Eng.) Topic: Deep-AI soft sensor at sensor devoid underground spaces: A zero-shot transfer learning approach Congratulation Shahzeb and Jorge for your acceptance in this good journal
-박사 과정 Shahzeb 통합과정, Jorge 통합과정, 남기전 박사, 김상윤 석사과정 & 철도기술연구원 김민정 박사(연구실 졸업생인)이 JCR TOP 10%로 좋은 저널인 Tunnelling and Underground Space Technology에 게재되었습니다. 축하합니다. -연구주제 : Deep-AI soft sensor at sensor devoid space-A zero-shot transfer learning (Deep AI-소프트센서 기술) -과제명 : 중견연구 & 빅데이터 기반 조기 대응 초미세먼지 예측기술 개발 [302] Shahzeb Tariq+, Jorge Loy-Benitez+, KiJeon Nam, SangYoun Kim, MinJeong Kim*, ChangKyoo Yoo*, Deep-AI soft sensor for sustainable health risk monitoring and control of fine particulate matter at sensor devoid underground spaces: A zero-shot transfer learning approach, Tunnelling and underground space (ISSN: 0886-7798, SCIE, JCR Top 10%-ENGINEERING, CIVIL, DOI), Elsevier, 131(1), pp.104843 (Ack: 2021R1A2C2007838 & Fine Dust Reduction Technology(21QPPW-B152306-03)
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