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[통합과정Usman: Ecotox&Env.Safety] QSAR PCB독성모델(환경안전)
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  • 2018-06-20
Ecotoxicology and Environmental Safety journal 논문 게재  (환경안전)

연구내용 :  Deep belief network (DBN)기반 이용한  PCB 물리화학물성치 예측 QSAR모델 논문이 생태독성 및 환경안전관련 저널에 게재 승인되었습니다.
축하합니다.

 

Hi all,

I'm happy to inform you that Usman's paper has been accepted in Ecotoxicology and Environmental Safety (SCI journal).

Congratulation for your 3rd paper on QSAR for Ecotoxicology and environmental safety application.

- Authors: Usman Safder, KiJeon Nam, Dongwoo Kim; Mohsen Shahlaei, ChangKyoo Yoo
- Title: Quantitative structure-property relationship (QSPR) models for predicting the physicochemical properties of polychlorinated biphenyls (PCBs) using deep belief network
- Corresponding Author: Professor ChangKyoo Yoo
 

 Usman Safder, KiJeon Nam, Dongwoo Kim, Mohsen Shahlaei, , ChangKyoo Yoo*, Quantitative structure-property relationship (QSPR) models for predicting the physicochemical properties of polychlorinated biphenyls (PCBs) using deep belief network, Ecotoxicology and Environmental Safety (ISSN: 0147-6513, SCI, Top20%:TOP20% TOXICOLOGY), Elsevier, (), pp. - (2018.07) (Ack:2017R1E1A1A03070713)

 
Please give your congratulation to Usman.
 
이전글 [이가희 석사과정:화학공학지] 다매체거동모델기반 PAHs거동해석 및 건강영향평가
다음글 [축: 남기전 박사과정] 회명 대학원 연구상(MBR 인공지능기반 자율운전시스템)
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