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Optimization Based Model Using Fuzzy and Other Statistical Techniques Towards Environmental Sustainability

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Optimization Based Model Using Fuzzy and Other Statistical Techniques Towards Environmental Sustainability/ edited by Samsul Ariffin Abdul Karim, Evizal Abdul Kadir, Arbi Haza Nasution.
其他作者:	Nasution, Arbi Haza.
面頁冊數:	X, 81 p. 48 illus., 35 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. -
電子資源:	https://doi.org/10.1007/978-981-15-2655-8
ISBN:	9789811526558

Optimization Based Model Using Fuzzy and Other Statistical Techniques Towards Environmental Sustainability
Optimization Based Model Using Fuzzy and Other Statistical Techniques Towards Environmental Sustainability[electronic resource] /edited by Samsul Ariffin Abdul Karim, Evizal Abdul Kadir, Arbi Haza Nasution. - 1st ed. 2020. - X, 81 p. 48 illus., 35 illus. in color.online resource.

A New Fuzzy Weighted Multivariate Regression to Predict Water Quality Index at Perak Rivers -- Smart Sensor Node of Wireless Sensor Networks (WSNs) for Remote River Water Pollution Monitoring System -- Toward Formalization of Comprehensive Bilingual Dictionaries Creation Planning as Constraint Optimization Problem -- Biomass Activated Carbon from Oil Palm Shell as Potential Material to Control Filtration Loss in Water-Based Drilling Fluid -- Experimental Study of PV/T Air Solar Collector and Generation of Fuzzy Membership Function.

This book explores key examples concerning the implementation of information technology and mathematical modeling to solve issues concerning environmental sustainability. The examples include using fuzzy weighted multivariate regression to predict the water quality index at Perak River in Malaysia; using wireless sensor networks (WSNs) for a remote river water pollution monitoring system; deriving biomass activated carbon from oil palm shell; and assessing the performance of a PV/T air solar collector. The book offers a valuable resource for all graduate students and researchers who are working in this rapidly growing area.

ISBN: 9789811526558

Standard No.: 10.1007/978-981-15-2655-8doiSubjects--Topical Terms:

782247
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.

LC Class. No.: Q342

Dewey Class. No.: 006.3

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