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[Safder박사, J Water Proc Eng. 논문/JCR10%] Hybrid Deep learning 모델기반 이차침전조 슬러지 벌킹 예측 및 진단
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  • 2022-01-13

Hi EMSEL,


I am pleased to inform you that Dr. Safder Usman and Ph.D students,Jorge/Hai's paper has been accepted for publication in the Journal of Water Process Engineering (ISSN: 2214-7144, IF=5.4, JCR TOP10% journal).

Please give your big hands to Dr. Safder and Jorge/Hai.

Congratulations for your paper acceptance indeed (Especially Dr. Safder for your new job also). J. of Cleaner Production paper (Adaptive safety-risk mitigation plan in Petrochemical industry work with a patent) is also waiting for you soon.

 

[281] Usman Safder+ , Jorge Loy-Benitez+ , Hai Tra Nguyen+ , ChangKyoo Yoo* , A hybrid deeplearning framework based on an extreme-learning machine and deep-belief network for sludge bulking model and classification in a dynamic wastewater treatment process, Journal of Water Process Engineering (ISSN: 2214-7144, SCIE, JCR TOP 10%: Water Resources), Elsevier, 46(4), pp.102580 (2022.4) (Ack (3개) (NRF: NRF중견2021R1A2C2007838 & & BKTproject(2020003160009) & CollaboR&D project(KOBI, Project No.S3105519)


EMSEL 연구실 석박사 통합과정으로 올 2월 박사받고 U&U 연구소 취업하는 Safder Usman 박사와 Jorge/Hai 통합과정 논문이 Journal of Water Process Engineering (IF=5.4, JCR TOP 10%: Water Resources)저널에 게재되되었습니다.

논문주제 : 이차침전조 슬러지 벌킹 예측 및 진단 모델 개발에 관한 논문으로 Extreme-learning machine and deep-belief network  의 융합 모델을 이용한 hybrid Deep learning 알고리즘


취업과 논문 축하합니다. 

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