The Resource Intelligent systems for machine olfaction : tools and methodologies, Evor L. Hines and Mark S. Leeson, editors
Intelligent systems for machine olfaction : tools and methodologies, Evor L. Hines and Mark S. Leeson, editors
Resource Information
The item Intelligent systems for machine olfaction : tools and methodologies, Evor L. Hines and Mark S. Leeson, editors represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Massey University Library, University of New Zealand.This item is available to borrow from 1 library branch.
Resource Information
The item Intelligent systems for machine olfaction : tools and methodologies, Evor L. Hines and Mark S. Leeson, editors represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Massey University Library, University of New Zealand.
This item is available to borrow from 1 library branch.
- Language
- eng
- Extent
- 1 online resource (293 pages)
- Contents
-
- 1. Feature selection and sensor array optimization in machine olfaction / Alexander Vergara, Eduard Llobet
- 2. Evolutionary algorithms for multisensor data fusion / Jianhua Yang [and others]
- 3. Making an electronic nose versatile / Nabarun Bhattacharyya, Bipan Tudu, Rajib Bandyopadhyay
- 4. Noise and repeatability of odorant gas sensors in an E-nose / Fengchun Tian [and others]
- 5. Odor Reproduction with movie and its application to teleolfaction / Takamichi Nakamoto, Takao Yamanaka
- 6. Statistical gas distribution modeling using kernel methods / Sahar Asadi [and others]
- 7. Characterization of complex patterns / Yannick Caulier
- 8. Detection of diseases and volatile discrimination of plants / Reza Ghaffari [and others]
- 9. Tomato plant health monitoring / Fu Zhang [and others]
- 10. Improved gas source localization with a mobile robot by learning analytical gas dispersal models from statistical gas distribution maps using evolutionary algorithms / Achim Lilienthal
- 11. Enhancing the classification of eye bacteria using bagging to multilayer perceptron and decision tree / Xu-Qin Li [and others]
- Isbn
- 9781615209163
- Label
- Intelligent systems for machine olfaction : tools and methodologies
- Title
- Intelligent systems for machine olfaction
- Title remainder
- tools and methodologies
- Statement of responsibility
- Evor L. Hines and Mark S. Leeson, editors
- Subject
-
- Computational intelligence
- Evolutionary algorithms
- Mobile robot
- Gas source localization
- Odors
- Sensor selection
- Gas detectors -- Automatic control
- Chemical detectors -- Automatic control
- Olfactometry
- Teleolfaction
- Artificial intelligence
- Gas dispersal models
- Kernel methods
- Image content description techniques
- Gas distribution modeling
- Language
- eng
- Dewey number
- 681/.754
- Illustrations
- illustrations
- Index
- no index present
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- http://library.link/vocab/relatedWorkOrContributorDate
-
- 1957-
- 1963-
- http://library.link/vocab/relatedWorkOrContributorName
-
- Hines, Evor
- Leeson, Mark S.
- IGI Global
- http://library.link/vocab/subjectName
-
- Chemical detectors
- Gas detectors
- Odors
- Olfactometry
- Artificial intelligence
- Target audience
-
- adult
- specialized
- Label
- Intelligent systems for machine olfaction : tools and methodologies, Evor L. Hines and Mark S. Leeson, editors
- Bibliography note
- Includes bibliographical references
- Color
- black and white
- Contents
- 1. Feature selection and sensor array optimization in machine olfaction / Alexander Vergara, Eduard Llobet -- 2. Evolutionary algorithms for multisensor data fusion / Jianhua Yang [and others] -- 3. Making an electronic nose versatile / Nabarun Bhattacharyya, Bipan Tudu, Rajib Bandyopadhyay -- 4. Noise and repeatability of odorant gas sensors in an E-nose / Fengchun Tian [and others] -- 5. Odor Reproduction with movie and its application to teleolfaction / Takamichi Nakamoto, Takao Yamanaka -- 6. Statistical gas distribution modeling using kernel methods / Sahar Asadi [and others] -- 7. Characterization of complex patterns / Yannick Caulier -- 8. Detection of diseases and volatile discrimination of plants / Reza Ghaffari [and others] -- 9. Tomato plant health monitoring / Fu Zhang [and others] -- 10. Improved gas source localization with a mobile robot by learning analytical gas dispersal models from statistical gas distribution maps using evolutionary algorithms / Achim Lilienthal -- 11. Enhancing the classification of eye bacteria using bagging to multilayer perceptron and decision tree / Xu-Qin Li [and others]
- Control code
- ocn807845495
- Dimensions
- unknown
- Extent
- 1 online resource (293 pages)
- File format
- multiple file formats
- Form of item
- online
- Isbn
- 9781615209163
- Other control number
- 10.4018/978-1-61520-915-6
- Other physical details
- illustrations, digital files
- Reformatting quality
- access
- Specific material designation
- remote
- System control number
- (OCoLC)807845495
- Label
- Intelligent systems for machine olfaction : tools and methodologies, Evor L. Hines and Mark S. Leeson, editors
- Bibliography note
- Includes bibliographical references
- Color
- black and white
- Contents
- 1. Feature selection and sensor array optimization in machine olfaction / Alexander Vergara, Eduard Llobet -- 2. Evolutionary algorithms for multisensor data fusion / Jianhua Yang [and others] -- 3. Making an electronic nose versatile / Nabarun Bhattacharyya, Bipan Tudu, Rajib Bandyopadhyay -- 4. Noise and repeatability of odorant gas sensors in an E-nose / Fengchun Tian [and others] -- 5. Odor Reproduction with movie and its application to teleolfaction / Takamichi Nakamoto, Takao Yamanaka -- 6. Statistical gas distribution modeling using kernel methods / Sahar Asadi [and others] -- 7. Characterization of complex patterns / Yannick Caulier -- 8. Detection of diseases and volatile discrimination of plants / Reza Ghaffari [and others] -- 9. Tomato plant health monitoring / Fu Zhang [and others] -- 10. Improved gas source localization with a mobile robot by learning analytical gas dispersal models from statistical gas distribution maps using evolutionary algorithms / Achim Lilienthal -- 11. Enhancing the classification of eye bacteria using bagging to multilayer perceptron and decision tree / Xu-Qin Li [and others]
- Control code
- ocn807845495
- Dimensions
- unknown
- Extent
- 1 online resource (293 pages)
- File format
- multiple file formats
- Form of item
- online
- Isbn
- 9781615209163
- Other control number
- 10.4018/978-1-61520-915-6
- Other physical details
- illustrations, digital files
- Reformatting quality
- access
- Specific material designation
- remote
- System control number
- (OCoLC)807845495
Subject
- Artificial intelligence
- Chemical detectors -- Automatic control
- Computational intelligence
- Evolutionary algorithms
- Gas detectors -- Automatic control
- Gas dispersal models
- Gas distribution modeling
- Gas source localization
- Image content description techniques
- Kernel methods
- Mobile robot
- Odors
- Olfactometry
- Sensor selection
- Teleolfaction
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.massey.ac.nz/portal/Intelligent-systems-for-machine-olfaction--tools/dT-6ZghnObc/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.massey.ac.nz/portal/Intelligent-systems-for-machine-olfaction--tools/dT-6ZghnObc/">Intelligent systems for machine olfaction : tools and methodologies, Evor L. Hines and Mark S. Leeson, editors</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.massey.ac.nz/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.massey.ac.nz/">Massey University Library, University of New Zealand</a></span></span></span></span></div>
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.massey.ac.nz/portal/Intelligent-systems-for-machine-olfaction--tools/dT-6ZghnObc/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.massey.ac.nz/portal/Intelligent-systems-for-machine-olfaction--tools/dT-6ZghnObc/">Intelligent systems for machine olfaction : tools and methodologies, Evor L. Hines and Mark S. Leeson, editors</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.massey.ac.nz/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.massey.ac.nz/">Massey University Library, University of New Zealand</a></span></span></span></span></div>
