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{ "item_title" : "Optimization Based Model Using Fuzzy and Other Statistical Techniques Towards Environmental Sustainability", "item_author" : [" Samsul Ariffin Abdul Karim", "Evizal Abdul Kadir", "Arbi Haza Nasution "], "item_description" : "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.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/81/152/654/9811526540_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Optimization Based Model Using Fuzzy and Other Statistical Techniques Towards Environmental Sustainability|Samsul Ariffin Abdul Karim

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

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Overview

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.

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Details

  • ISBN-13: 9789811526541
  • ISBN-10: 9811526540
  • Publisher: Springer
  • Publish Date: February 2020
  • Dimensions: 9.21 x 6.14 x 0.19 inches
  • Shipping Weight: 0.31 pounds
  • Page Count: 81

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