Battlefield surveillance, border monitoring, and intelligent traffic system are some of the applications of the classification of ground vehicles based on acoustic signals. Classification… Mehr…
Battlefield surveillance, border monitoring, and intelligent traffic system are some of the applications of the classification of ground vehicles based on acoustic signals. Classification of multiple dynamic targets based on time varying continuous signals in WSNs is a big challenge in many of WSNs applications. In this book, I tackled the problem of classification of multiple moving ground vehicles, that are passing through a region monitored by wireless sensors, where the number of these vehicles is evolving with time. This work investigated the problem from three aspects:the first is the feature extraction, The second is the utilization of the time correlation of the observation, In the third part a collaborative fuzzy dynamic weighted majority voting (CFDWMV) algorithm is developed to fuse all of the local decisions and make decision on targets number. A collaborative Technique Buch (fremdspr.) Taschenbuch 18.08.2012 Bücher>Fremdsprachige Bücher>Englische Bücher, LAP LAMBERT Academic Publishing, .201<
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A collaborative Technique Battlefield surveillance, border monitoring, and intelligent traffic system are some of the applications of the classification of ground vehicles based on acous… Mehr…
A collaborative Technique Battlefield surveillance, border monitoring, and intelligent traffic system are some of the applications of the classification of ground vehicles based on acoustic signals. Classification of multiple dynamic targets based on time varying continuous signals in WSNs is a big challenge in many of WSNs applications. In this book, I tackled the problem of classification of multiple moving ground vehicles, that are passing through a region monitored by wireless sensors, where the number of these vehicles is evolving with time. This work investigated the problem from three aspects:the first is the feature extraction, The second is the utilization of the time correlation of the observation, In the third part a collaborative fuzzy dynamic weighted majority voting (CFDWMV) algorithm is developed to fuse all of the local decisions and make decision on targets number. Bücher / Fremdsprachige Bücher / Englische Bücher 978-3-659-21916-0, LAP Lambert Academic Publishing<
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Battlefield surveillance, border monitoring, and intelligent traffic system are some of the applications of the classification of ground vehicles based on acoustic signals. Classification… Mehr…
Battlefield surveillance, border monitoring, and intelligent traffic system are some of the applications of the classification of ground vehicles based on acoustic signals. Classification of multiple dynamic targets based on time varying continuous signals in WSNs is a big challenge in many of WSNs applications. In this book, I tackled the problem of classification of multiple moving ground vehicles, that are passing through a region monitored by wireless sensors, where the number of these vehicles is evolving with time. This work investigated the problem from three aspects:the first is the feature extraction, The second is the utilization of the time correlation of the observation, In the third part a collaborative fuzzy dynamic weighted majority voting (CFDWMV) algorithm is developed to fuse all of the local decisions and make decision on targets number. A collaborative Technique Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, LAP Lambert Academic Publishing<
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Battlefield surveillance, border monitoring, and intelligent traffic system are some of the applications of the classification of ground vehicles based on acoustic signals. Classification… Mehr…
Battlefield surveillance, border monitoring, and intelligent traffic system are some of the applications of the classification of ground vehicles based on acoustic signals. Classification of multiple dynamic targets based on time varying continuous signals in WSNs is a big challenge in many of WSNs applications. In this book, I tackled the problem of classification of multiple moving ground vehicles, that are passing through a region monitored by wireless sensors, where the number of these vehicles is evolving with time. This work investigated the problem from three aspects:the first is the feature extraction, The second is the utilization of the time correlation of the observation, In the third part a collaborative fuzzy dynamic weighted majority voting (CFDWMV) algorithm is developed to fuse all of the local decisions and make decision on targets number. Bücher / Naturwissenschaften, Medizin, Informatik & Technik / Technik<
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Ahmad Aljaafreh,Paperback, English-language edition,Pub by AV Akademikerverlag GmbH & Co. KG. Books Books ~~ Technology~~ General Multi-Acoustic-Target-classification-Using-Wireless-Senso… Mehr…
Ahmad Aljaafreh,Paperback, English-language edition,Pub by AV Akademikerverlag GmbH & Co. KG. Books Books ~~ Technology~~ General Multi-Acoustic-Target-classification-Using-Wireless-Sensor-Network~~Ahmad-Aljaafreh AV Akademikerverlag GmbH & Co. KG.<
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Battlefield surveillance, border monitoring, and intelligent traffic system are some of the applications of the classification of ground vehicles based on acoustic signals. Classification… Mehr…
Battlefield surveillance, border monitoring, and intelligent traffic system are some of the applications of the classification of ground vehicles based on acoustic signals. Classification of multiple dynamic targets based on time varying continuous signals in WSNs is a big challenge in many of WSNs applications. In this book, I tackled the problem of classification of multiple moving ground vehicles, that are passing through a region monitored by wireless sensors, where the number of these vehicles is evolving with time. This work investigated the problem from three aspects:the first is the feature extraction, The second is the utilization of the time correlation of the observation, In the third part a collaborative fuzzy dynamic weighted majority voting (CFDWMV) algorithm is developed to fuse all of the local decisions and make decision on targets number. A collaborative Technique Buch (fremdspr.) Taschenbuch 18.08.2012 Bücher>Fremdsprachige Bücher>Englische Bücher, LAP LAMBERT Academic Publishing, .201<
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A collaborative Technique Battlefield surveillance, border monitoring, and intelligent traffic system are some of the applications of the classification of ground vehicles based on acous… Mehr…
A collaborative Technique Battlefield surveillance, border monitoring, and intelligent traffic system are some of the applications of the classification of ground vehicles based on acoustic signals. Classification of multiple dynamic targets based on time varying continuous signals in WSNs is a big challenge in many of WSNs applications. In this book, I tackled the problem of classification of multiple moving ground vehicles, that are passing through a region monitored by wireless sensors, where the number of these vehicles is evolving with time. This work investigated the problem from three aspects:the first is the feature extraction, The second is the utilization of the time correlation of the observation, In the third part a collaborative fuzzy dynamic weighted majority voting (CFDWMV) algorithm is developed to fuse all of the local decisions and make decision on targets number. Bücher / Fremdsprachige Bücher / Englische Bücher 978-3-659-21916-0, LAP Lambert Academic Publishing<
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Battlefield surveillance, border monitoring, and intelligent traffic system are some of the applications of the classification of ground vehicles based on acoustic signals. Classification… Mehr…
Battlefield surveillance, border monitoring, and intelligent traffic system are some of the applications of the classification of ground vehicles based on acoustic signals. Classification of multiple dynamic targets based on time varying continuous signals in WSNs is a big challenge in many of WSNs applications. In this book, I tackled the problem of classification of multiple moving ground vehicles, that are passing through a region monitored by wireless sensors, where the number of these vehicles is evolving with time. This work investigated the problem from three aspects:the first is the feature extraction, The second is the utilization of the time correlation of the observation, In the third part a collaborative fuzzy dynamic weighted majority voting (CFDWMV) algorithm is developed to fuse all of the local decisions and make decision on targets number. A collaborative Technique Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, LAP Lambert Academic Publishing<
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Battlefield surveillance, border monitoring, and intelligent traffic system are some of the applications of the classification of ground vehicles based on acoustic signals. Classification… Mehr…
Battlefield surveillance, border monitoring, and intelligent traffic system are some of the applications of the classification of ground vehicles based on acoustic signals. Classification of multiple dynamic targets based on time varying continuous signals in WSNs is a big challenge in many of WSNs applications. In this book, I tackled the problem of classification of multiple moving ground vehicles, that are passing through a region monitored by wireless sensors, where the number of these vehicles is evolving with time. This work investigated the problem from three aspects:the first is the feature extraction, The second is the utilization of the time correlation of the observation, In the third part a collaborative fuzzy dynamic weighted majority voting (CFDWMV) algorithm is developed to fuse all of the local decisions and make decision on targets number. Bücher / Naturwissenschaften, Medizin, Informatik & Technik / Technik<
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Ahmad Aljaafreh,Paperback, English-language edition,Pub by AV Akademikerverlag GmbH & Co. KG. Books Books ~~ Technology~~ General Multi-Acoustic-Target-classification-Using-Wireless-Senso… Mehr…
Ahmad Aljaafreh,Paperback, English-language edition,Pub by AV Akademikerverlag GmbH & Co. KG. Books Books ~~ Technology~~ General Multi-Acoustic-Target-classification-Using-Wireless-Sensor-Network~~Ahmad-Aljaafreh AV Akademikerverlag GmbH & Co. KG.<
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Detailangaben zum Buch - Multi-Acoustic Target classification Using Wireless Sensor Network
EAN (ISBN-13): 9783659219160 ISBN (ISBN-10): 3659219169 Gebundene Ausgabe Taschenbuch Erscheinungsjahr: 2012 Herausgeber: AV Akademikerverlag GmbH & Co. KG.
Buch in der Datenbank seit 2009-03-21T07:47:50+01:00 (Berlin) Detailseite zuletzt geändert am 2018-11-22T14:22:57+01:00 (Berlin) ISBN/EAN: 9783659219160
ISBN - alternative Schreibweisen: 3-659-21916-9, 978-3-659-21916-0 Alternative Schreibweisen und verwandte Suchbegriffe: Titel des Buches: target, network, multi