Description |
1 online resource (293 pages) : illustrations, digital files |
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] |
Analysis |
Computational intelligence |
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Evolutionary algorithms |
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Gas dispersal models |
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Gas distribution modeling |
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Gas source localization |
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Image content description techniques |
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Kernel methods |
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Mobile robot |
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Sensor selection |
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Teleolfaction |
Bibliography |
Includes bibliographical references |
Notes |
Title screen (IGI Global, viewed May 4, 2011) |
Subject |
Chemical detectors -- Automatic control
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Gas detectors -- Automatic control
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Odors
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Olfactometry.
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Artificial intelligence.
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Odorants
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Artificial Intelligence
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odors.
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artificial intelligence.
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Artificial intelligence
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Odors
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Olfactometry
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Form |
Electronic book
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Author |
Hines, Evor, 1957-
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Leeson, Mark S., 1963-
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IGI Global.
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ISBN |
9781615209163 |
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1615209166 |
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