[Roberto학생, Chemosphere, JCR12%] PM2.5 Long-short term graph convolutional network 예측 모델-Spatiotemporal analysis | ||
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Hi all,
I am pleased to inform you that emsel member Roberto, Shahzeb (Ph.D. candidate) and Dr. Jorge's paper has been published for publication in Chemosphere (IF=7.08, JCR 12%). Famous journal in chemicals in the environment & Environmental Chemistry. Please give your big hands to Roberto since this is his 1st paper at EMSEL. Congratulation indeed.
Roberto학생과 Shahze통합과정 그리고 박사 졸업생 Jorge 박사 논문이 Chemosphere(ISSN: 0045-6535, SCIE, JCR TOP 12%)저널에 게재 승인되었습니다. Deep learning중 long-short term graph convolutional network 알고리즘을 이용한 spatiotemporal 특성을 지니는 미세먼지 측정소 PM2.5 예측 모델 및 인체위해성 평가를 연구실 연구 내용은 미세먼지 측정소 PM2.5 spatiotemporal analysis, long-short term graph convolutional network 기반 미세먼지 multistep 예측모델, 그리고 인체위해성 지수 분류 논문.. Chemosphere저널은 환경화학(Environmental Chemistry)분야 좋은 저널중 하나로 Chemosphere 저널논문 게재 축하합니다. Roberto Chang-Silva+, Shahzeb Tariq+, Jorge Loy-Benitez+, and ChangKyoo Yoo*, Smart solutions for urban health risk assessment: A PM2.5 monitoring system incorporating spatiotemporal long-short term graph convolutional network, Chemosphere(ISSN: 0045-6535, SCIE, IF 8.9/JCR TOP 12%), Elsevier, 335(9), pp.39071 (2023.09) (Ack 2개: NRF중견2021R1A2C2007838 & 철기연과제 21QPPW-B152306-03)
---------- Forwarded message --------- 보낸사람: Chemosphere <em@editorialmanager.com> Date: 2023년 5월 28일 (일) 오후 5:39 Subject: CHEM116208R1 - Editor decision - accepted To: ChangKyoo Yoo <ckyoo@khu.ac.kr> Dear Professor Yoo,
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이전글 | [Paulina/Gabriel교수, Sustainability/SSCI] [생태독성 모델링 리뷰 ]Toxicity Conundrum: Modeling, Measuring, Monitoring and Evaluating Ecotoxicity | |
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