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Electronic nose technologies and adv...

Albastaki, Yousif, (1962-)

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Electronic nose technologies and advances in machine olfaction

Record Type:	Electronic resources : Monograph/item
Title/Author:	Electronic nose technologies and advances in machine olfaction/ Yousif Albastaki and Fatema Albalooshi, editors.
other author:	Albastaki, Yousif,
Published:	Hershey, Pennsylvania :IGI Global, : [2018],
Description:	1 online resource (xx, 318 p.)
[NT 15003449]:	Chapter 1. A framework for an artificial-neural-network-based electronic nose -- Chapter 2. Artificial odour classification system -- Chapter 3. E-nose pattern recognition and drift compensation methods -- Chapter 4. Fluorescence quenching sensor arrays for the discrimination of nitroaromatic vapors -- Chapter 5. Correlating electronic nose and field olfactometer for industrial odor concentration measurement using PLS and MLR -- Chapter 6. Electronic nose applications -- Chapter 7. Electronic noses in food analysis -- Chapter 8. Application of electronic nose systems on animal-source food: an overview -- Chapter 9. Application of electronic nose to ambient air quality evaluation with respect to odour nuisance in vicinity of municipal landfills and sewage treatment -- Chapter 10. Electronic noses for indoor air quality assessment -- Chapter 11. Integrating odor sensing in robotics -- Chapter 12. Towards odor-sensitive mobile robots -- Chapter 13. Integrating smell sense in robots using artificial neural networks.
Subject:	Olfactory sensors - Handbooks, manuals, etc. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3862-2
ISBN:	9781522538639 (ebook)

Electronic nose technologies and advances in machine olfaction
Electronic nose technologies and advances in machine olfaction[electronic resource] /Yousif Albastaki and Fatema Albalooshi, editors. - Hershey, Pennsylvania :IGI Global,[2018] - 1 online resource (xx, 318 p.)

Includes bibliographical references and index.

Chapter 1. A framework for an artificial-neural-network-based electronic nose -- Chapter 2. Artificial odour classification system -- Chapter 3. E-nose pattern recognition and drift compensation methods -- Chapter 4. Fluorescence quenching sensor arrays for the discrimination of nitroaromatic vapors -- Chapter 5. Correlating electronic nose and field olfactometer for industrial odor concentration measurement using PLS and MLR -- Chapter 6. Electronic nose applications -- Chapter 7. Electronic noses in food analysis -- Chapter 8. Application of electronic nose systems on animal-source food: an overview -- Chapter 9. Application of electronic nose to ambient air quality evaluation with respect to odour nuisance in vicinity of municipal landfills and sewage treatment -- Chapter 10. Electronic noses for indoor air quality assessment -- Chapter 11. Integrating odor sensing in robotics -- Chapter 12. Towards odor-sensitive mobile robots -- Chapter 13. Integrating smell sense in robots using artificial neural networks.

Restricted to subscribers or individual electronic text purchasers.

"This book is an integrated and coherent book of electronic nose which will add value to the current research by focusing on emerging new applications of the electronic nose, and which will contribute to a better understanding of the steps involved in designing electronic nose with the aids of neural networks and other related technologies"--

ISBN: 9781522538639 (ebook)Subjects--Topical Terms:

3311129
Olfactory sensors
--Handbooks, manuals, etc.

LC Class. No.: TP159.C46 / E535 2018e

Dewey Class. No.: 681/.754

Electronic nose technologies and advances in machine olfaction
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020 $a 9781522538639 (ebook)
020 $a 9781522538622 (hardcover)
035 $a (OCoLC)1029771318
035 $a 1071025394
040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
050 4 $a TP159.C46 $b E535 2018e
082 0 4 $a 681/.754 $2 23
245 0 0 $a Electronic nose technologies and advances in machine olfaction $h [electronic resource] / $c Yousif Albastaki and Fatema Albalooshi, editors.
260 $a Hershey, Pennsylvania : $b IGI Global, $c [2018]
300 $a 1 online resource (xx, 318 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. A framework for an artificial-neural-network-based electronic nose -- Chapter 2. Artificial odour classification system -- Chapter 3. E-nose pattern recognition and drift compensation methods -- Chapter 4. Fluorescence quenching sensor arrays for the discrimination of nitroaromatic vapors -- Chapter 5. Correlating electronic nose and field olfactometer for industrial odor concentration measurement using PLS and MLR -- Chapter 6. Electronic nose applications -- Chapter 7. Electronic noses in food analysis -- Chapter 8. Application of electronic nose systems on animal-source food: an overview -- Chapter 9. Application of electronic nose to ambient air quality evaluation with respect to odour nuisance in vicinity of municipal landfills and sewage treatment -- Chapter 10. Electronic noses for indoor air quality assessment -- Chapter 11. Integrating odor sensing in robotics -- Chapter 12. Towards odor-sensitive mobile robots -- Chapter 13. Integrating smell sense in robots using artificial neural networks.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "This book is an integrated and coherent book of electronic nose which will add value to the current research by focusing on emerging new applications of the electronic nose, and which will contribute to a better understanding of the steps involved in designing electronic nose with the aids of neural networks and other related technologies"-- $c Provided by publisher.
650 0 $a Olfactory sensors $v Handbooks, manuals, etc. $3 3311129
650 0 $a Gas detectors $v Handbooks, manuals, etc. $3 3311130
650 0 $a Odors $v Handbooks, manuals, etc. $3 3221238
650 0 $a Intelligent sensors $v Handbooks, manuals, etc. $3 3311131
700 1 $a Albastaki, Yousif, $d 1962- $e editor. $3 3311127
700 1 $a Albalooshi, Fatema A., $d 1979- $e editor. $3 3311128
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3862-2