[Mohammad학생 첫 논문, Sust Cities Soc./IF=10.6JCR3%][COVID19 데이타 해석] ML-driven spatio-temporal vulnerability on socio-economic data | ||
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Hi all, I'm happy to inform you that Ph.D student: Mohammad Moosazadeh 1st paper (w/ Dr. Pouya and Saman) has been accepted at Sustainable Cities and Society(SCI, IF=10.6, JCR 3%-Construction and Building). Congratulations for this nice journal publication. -COVID19 DATA ANALYSIS Please show your congratulations to Mohammad. - Title : A machine learning-driven spatio-temporal vulnerability appraisal based on socio-economic data for COVID-19 impact prevention in the U.S. counties - Mohammad Moosazadeh, Pouya Ifaei, Amir Saman Tayerani Charmchi , Somayeh Asadi, and ChangKyoo Yoo*, A machine learning-driven spatio-temporal vulnerability appraisal based on socio-economic data for COVID-19 impact prevention in the U.S. counties, Sustainable Cities and Society(ISSN: 2210-6707, SCI, Top 3% journal –Construction and Building), Elsevier, 83(8), pp.103990 (2022.8) (NRF중견2021R1A2C2007838 & Graduate School specialized in Climate Change)
- 연구주제 : [Socio-economic 데이타 해석-CIVID19] 미국 Socio-economic Data기반 기계학습을 이용한 지역별 COVID-19 spatio-temporal 취약성 평가 Mohammad Moosazadeh 학생이 EMSEL 조인 후 첫 논문으로 Top 3% 저널 논문 게재 축하합니다. 계속해서 2, 3, 4번쨰 논문 준비 중으로 올해 계속 좋은 실적을 기대합니다... 축하합니다. |
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이전글 | [Tra통합, Applied Energy, IF 11.5] Optimal demand side management scheduling-based bidirectional regulation of energy distribution network (Demand side energy scheduling 양방향 최적 관리) | |
다음글 | [허성구 통합, J. Env. Management. IF=8.9] Spatio-temporal wind speed Nongaussian analysis (풍력에너지 비가우시안 다변량 모니터링) |