Intelligent Sensor Networks : The Integration of Sensor Networks, Signal Processing and Machine Learning

Although governments worldwide have invested significantly in intelligent sensor network research and applications, few books cover intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on the world-class research of award-winning authors, the book provides a firm grounding in the fundamentals of intelligent sensor networks, including compressive sensing and sampling, distributed signal processing, and intelligent signal learning. Presenting recent research results of world-renowned sensing experts, the book is organized into three parts: Machine Learning—describes the application of machine learning and other AI principles in sensor network intelligence—covering smart sensor/transducer architecture and data representation for intelligent sensors Signal Processing—considers the optimization of sensor network performance based on digital signal processing techniques—including cross-layer integration of routing and application-specific signal processing as well as on-board image processing in wireless multimedia sensor networks for intelligent transportation systems Networking—focuses on network protocol design in order to achieve an intelligent sensor networking—covering energy-efficient opportunistic routing protocols for sensor networking and multi-agent-driven wireless sensor cooperation Maintaining a focus on "intelligent" designs, the book details signal processing principles in sensor networks. It elaborates on critical platforms for intelligent sensor networks and illustrates key applications—including target tracking, object identification, and structural health monitoring. It also includes a paradigm for validating the extent of spatiotemporal associations among data sources to enhance data cleaning in sensor networks, a sensor stream reduction application, and also considers the use of Kalman filters for attack detection in a water system sensor network that consists of water level sensors and velocity sensors Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Hu, Fei [verfasserIn] Hao, Qi [herausgeberIn]

Format:	E-Book
Sprache:	Englisch

Erschienen:	Boca Raton: Taylor & Francis ; 2012

Rechteinformationen:	Open Access Creative Commons ; https://creativecommons.org/licenses/by-nc-nd/4.0

Schlagwörter:	Information technology: general issues Electronics & communications engineering Electrical engineering Mobile phone technology Information technology: general topics Electronics and communications engineering

Umfang:	1 Online-Ressource

Links:	Link aufrufen Link aufrufen Link aufrufen

Katalog-ID:	1836461844

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Based on the world-class research of award-winning authors, the book provides a firm grounding in the fundamentals of intelligent sensor networks, including compressive sensing and sampling, distributed signal processing, and intelligent signal learning. Presenting recent research results of world-renowned sensing experts, the book is organized into three parts: Machine Learning—describes the application of machine learning and other AI principles in sensor network intelligence—covering smart sensor/transducer architecture and data representation for intelligent sensors Signal Processing—considers the optimization of sensor network performance based on digital signal processing techniques—including cross-layer integration of routing and application-specific signal processing as well as on-board image processing in wireless multimedia sensor networks for intelligent transportation systems Networking—focuses on network protocol design in order to achieve an intelligent sensor networking—covering energy-efficient opportunistic routing protocols for sensor networking and multi-agent-driven wireless sensor cooperation Maintaining a focus on "intelligent" designs, the book details signal processing principles in sensor networks. It elaborates on critical platforms for intelligent sensor networks and illustrates key applications—including target tracking, object identification, and structural health monitoring. It also includes a paradigm for validating the extent of spatiotemporal associations among data sources to enhance data cleaning in sensor networks, a sensor stream reduction application, and also considers the use of Kalman filters for attack detection in a water system sensor network that consists of water level sensors and velocity sensors Creative Commons https://creativecommons.org/licenses/by-nc-nd/4.0 cc English Information technology: general issues Electronics & communications engineering Electrical engineering Mobile phone technology Information technology: general topics Electronics and communications engineering Hao, Qi herausgeberin edt https://library.oapen.org/bitstream/id/0af3a2fe-2ee8-4fd4-baae-273b2754557a/9781439892817.pdf X:OAPEN Verlag OAPEN Library: download the publication kostenfrei https://library.oapen.org/handle/20.500.12657/41267 X:OAPEN Verlag OAPEN Library: description of the publication kostenfrei ZDB-94-OAL GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_34 ISIL_DE-18-302 GBV_ILN_39 ISIL_DE-547 GBV_ILN_40 ISIL_DE-7 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_95 ISIL_DE-542 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_161 ISIL_DE-960 GBV_ILN_187 ISIL_DE-Ki95 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_283 ISIL_DE-Ha163 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_603 ISIL_DE-B1556 GBV_ILN_808 GBV_ILN_2403 ISIL_DE-LFER BO 22 01 0018 4280119856 OLR-ZDB-94-OAL OAPEN Library zu 01-03-23 23 01 0830 4280671907 OLR-OAPEN f z 01-03-23 30 01 0104 4281032495 GBV-OAPEN z 01-03-23 31 01 0027 4280314608 z 01-03-23 34 01 3551 4278870132 OLR-OAPEN zi002 01-03-23 39 01 0547 4281223495 GBV-OAPEN ke 01-03-23 40 01 0007 4279938628 OLR-OAPEN xsn 01-03-23 63 01 3401 4281605142 E-Books LF GBV-OAPEN z 01-03-23 65 01 0003 4281855475 OLR-OAPEN z 01-03-23 70 01 0089 4280492905 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 72 01 0035 4278692749 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 95 01 3095 4343219283 OLR-OAL Vervielfältigungen (z.B. 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Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 01-03-23 161 01 0960 4278126492 OLR-OAPEN OAPEN Online Library Open Access eBook z 28-02-23 187 01 3520 4278511299 JSTOR Open Access eBook z 28-02-23 213 01 0551 4279225303 OLR-OAPEN OAPEN Online Library Open Access eBook z 01-03-23 230 01 0552 4279402485 OLR-OAPEN OAPEN Online Library Open Access eBook z 01-03-23 283 01 3283 4279761396 OLR-OAL z 01-03-23 293 01 3293 4278305516 OLR-OAPEN OAPEN Online Library Open Access eBook z 28-02-23 370 01 4370 4279047871 OLR-FREE Kostenloser Zugriff z 01-03-23 603 01 4603 4277948545 OLR-OAPEN Bitte beachten Sie die Nutzungsbedingungen und Copyright-Bestimmungen des Verlages/Herausgebers. z 28-02-23 808 01 4808 4280850844 OLR-OAPEN OAPEN Library zg 01-03-23 2403 01 DE-LFER 4307800605 00 --%%-- --%%-- n --%%-- l01 12-04-23 22 01 0018 Volltextzugang https://library.oapen.org/handle/20.500.12657/41267 23 01 0830 https://library.oapen.org/handle/20.500.12657/41267 30 01 0104 Open Access https://library.oapen.org/handle/20.500.12657/41267 31 01 0027 eBook GBV-OAPEN https://library.oapen.org/handle/20.500.12657/41267 34 01 3551 OpenAccess https://library.oapen.org/handle/20.500.12657/41267 40 01 0007 Volltext, Open Access https://library.oapen.org/handle/20.500.12657/41267 63 01 3401 E-Book https://library.oapen.org/handle/20.500.12657/41267 65 01 0003 Open Access https://library.oapen.org/handle/20.500.12657/41267 65 01 0003 Dieser Titel ist Teil einer Datenbank http://www.bibliothek.uni-regensburg.de/dbinfo/detail.php?titel_id=10728&bib_id=ulb_hal 70 01 0089 https://library.oapen.org/handle/20.500.12657/41267 LF 72 01 0035 https://library.oapen.org/handle/20.500.12657/41267 95 01 3095 https://library.oapen.org/handle/20.500.12657/41267 110 01 3110 Open Access https://library.oapen.org/handle/20.500.12657/41267 136 01 3526 Open Access https://library.oapen.org/handle/20.500.12657/41267 147 01 3528 https://library.oapen.org/handle/20.500.12657/41267 161 01 0960 https://library.oapen.org/handle/20.500.12657/41267 LF 187 01 3520 https://library.oapen.org/handle/20.500.12657/41267 213 01 0551 https://library.oapen.org/handle/20.500.12657/41267 230 01 0552 https://library.oapen.org/handle/20.500.12657/41267 283 01 3283 https://library.oapen.org/handle/20.500.12657/41267 293 01 3293 https://library.oapen.org/handle/20.500.12657/41267 LF 370 01 4370 https://library.oapen.org/handle/20.500.12657/41267 603 01 4603 https://library.oapen.org/handle/20.500.12657/41267 808 01 4808 Volltextzugang https://library.oapen.org/handle/20.500.12657/41267 2403 01 DE-LFER https://library.oapen.org/bitstream/id/0af3a2fe-2ee8-4fd4-baae-273b2754557a/9781439892817.pdf 31 01 0027 00 eBook GBV-OAPEN 22 01 0018 OLR-ZDB-94-OAL 23 01 0830 OLR-OAPEN 30 01 0104 GBV-OAPEN 34 01 3551 OLR-OAPEN 39 01 0547 GBV-OAPEN 39 01 0547 LF 40 01 0007 OLR-OAPEN 63 01 3401 E-Books LF GBV-OAPEN 65 01 0003 OLR-OAPEN 70 01 0089 OLR-OAPEN-OA 72 01 0035 OLR-OAPEN-OA 95 01 3095 OLR-OAL 110 01 3110 OLR-GBV-OAPEN 136 01 3526 OLR-OAPEN 147 01 3528 OLR-OAPEN 161 01 0960 OLR-OAPEN 213 01 0551 OLR-OAPEN 230 01 0552 OLR-OAPEN 283 01 3283 OLR-OAL 293 01 3293 OLR-OAPEN 370 01 4370 OLR-FREE 370 01 4370 olr-ebook GBV-OAPEN 603 01 4603 OLR-OAPEN 808 01 4808 OLR-OAPEN
spelling	(DE-627)1836461844 (DE-599)KEP062200704 (OCoLC)1286416895 (OAPEN)41267 (EBP)062200704 DE-627 eng DE-627 rda eng UB bicssc THR bicssc TJKT1 bicssc TJ bicssc Hu, Fei verfasserin aut Intelligent Sensor Networks The Integration of Sensor Networks, Signal Processing and Machine Learning Boca Raton Taylor & Francis 2012 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Open Access Unrestricted online access star Although governments worldwide have invested significantly in intelligent sensor network research and applications, few books cover intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on the world-class research of award-winning authors, the book provides a firm grounding in the fundamentals of intelligent sensor networks, including compressive sensing and sampling, distributed signal processing, and intelligent signal learning. Presenting recent research results of world-renowned sensing experts, the book is organized into three parts: Machine Learning—describes the application of machine learning and other AI principles in sensor network intelligence—covering smart sensor/transducer architecture and data representation for intelligent sensors Signal Processing—considers the optimization of sensor network performance based on digital signal processing techniques—including cross-layer integration of routing and application-specific signal processing as well as on-board image processing in wireless multimedia sensor networks for intelligent transportation systems Networking—focuses on network protocol design in order to achieve an intelligent sensor networking—covering energy-efficient opportunistic routing protocols for sensor networking and multi-agent-driven wireless sensor cooperation Maintaining a focus on "intelligent" designs, the book details signal processing principles in sensor networks. It elaborates on critical platforms for intelligent sensor networks and illustrates key applications—including target tracking, object identification, and structural health monitoring. It also includes a paradigm for validating the extent of spatiotemporal associations among data sources to enhance data cleaning in sensor networks, a sensor stream reduction application, and also considers the use of Kalman filters for attack detection in a water system sensor network that consists of water level sensors and velocity sensors Creative Commons https://creativecommons.org/licenses/by-nc-nd/4.0 cc English Information technology: general issues Electronics & communications engineering Electrical engineering Mobile phone technology Information technology: general topics Electronics and communications engineering Hao, Qi herausgeberin edt https://library.oapen.org/bitstream/id/0af3a2fe-2ee8-4fd4-baae-273b2754557a/9781439892817.pdf X:OAPEN Verlag OAPEN Library: download the publication kostenfrei https://library.oapen.org/handle/20.500.12657/41267 X:OAPEN Verlag OAPEN Library: description of the publication kostenfrei ZDB-94-OAL GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_34 ISIL_DE-18-302 GBV_ILN_39 ISIL_DE-547 GBV_ILN_40 ISIL_DE-7 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_95 ISIL_DE-542 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_161 ISIL_DE-960 GBV_ILN_187 ISIL_DE-Ki95 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_283 ISIL_DE-Ha163 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_603 ISIL_DE-B1556 GBV_ILN_808 GBV_ILN_2403 ISIL_DE-LFER BO 22 01 0018 4280119856 OLR-ZDB-94-OAL OAPEN Library zu 01-03-23 23 01 0830 4280671907 OLR-OAPEN f z 01-03-23 30 01 0104 4281032495 GBV-OAPEN z 01-03-23 31 01 0027 4280314608 z 01-03-23 34 01 3551 4278870132 OLR-OAPEN zi002 01-03-23 39 01 0547 4281223495 GBV-OAPEN ke 01-03-23 40 01 0007 4279938628 OLR-OAPEN xsn 01-03-23 63 01 3401 4281605142 E-Books LF GBV-OAPEN z 01-03-23 65 01 0003 4281855475 OLR-OAPEN z 01-03-23 70 01 0089 4280492905 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 72 01 0035 4278692749 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 95 01 3095 4343219283 OLR-OAL Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 24-06-23 110 01 3110 4281408509 OLR-GBV-OAPEN Open Access z 01-03-23 136 01 3526 4279579695 OLR-OAPEN z 01-03-23 147 01 3528 4282053887 OLR-OAPEN frei verfügbar für Europa-Universität Flensburg, Hochschule Flensburg und Zentrale Hochschulbibliothek Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 01-03-23 161 01 0960 4278126492 OLR-OAPEN OAPEN Online Library Open Access eBook z 28-02-23 187 01 3520 4278511299 JSTOR Open Access eBook z 28-02-23 213 01 0551 4279225303 OLR-OAPEN OAPEN Online Library Open Access eBook z 01-03-23 230 01 0552 4279402485 OLR-OAPEN OAPEN Online Library Open Access eBook z 01-03-23 283 01 3283 4279761396 OLR-OAL z 01-03-23 293 01 3293 4278305516 OLR-OAPEN OAPEN Online Library Open Access eBook z 28-02-23 370 01 4370 4279047871 OLR-FREE Kostenloser Zugriff z 01-03-23 603 01 4603 4277948545 OLR-OAPEN Bitte beachten Sie die Nutzungsbedingungen und Copyright-Bestimmungen des Verlages/Herausgebers. z 28-02-23 808 01 4808 4280850844 OLR-OAPEN OAPEN Library zg 01-03-23 2403 01 DE-LFER 4307800605 00 --%%-- --%%-- n --%%-- l01 12-04-23 22 01 0018 Volltextzugang https://library.oapen.org/handle/20.500.12657/41267 23 01 0830 https://library.oapen.org/handle/20.500.12657/41267 30 01 0104 Open Access https://library.oapen.org/handle/20.500.12657/41267 31 01 0027 eBook GBV-OAPEN https://library.oapen.org/handle/20.500.12657/41267 34 01 3551 OpenAccess https://library.oapen.org/handle/20.500.12657/41267 40 01 0007 Volltext, Open Access https://library.oapen.org/handle/20.500.12657/41267 63 01 3401 E-Book https://library.oapen.org/handle/20.500.12657/41267 65 01 0003 Open Access https://library.oapen.org/handle/20.500.12657/41267 65 01 0003 Dieser Titel ist Teil einer Datenbank http://www.bibliothek.uni-regensburg.de/dbinfo/detail.php?titel_id=10728&bib_id=ulb_hal 70 01 0089 https://library.oapen.org/handle/20.500.12657/41267 LF 72 01 0035 https://library.oapen.org/handle/20.500.12657/41267 95 01 3095 https://library.oapen.org/handle/20.500.12657/41267 110 01 3110 Open Access https://library.oapen.org/handle/20.500.12657/41267 136 01 3526 Open Access https://library.oapen.org/handle/20.500.12657/41267 147 01 3528 https://library.oapen.org/handle/20.500.12657/41267 161 01 0960 https://library.oapen.org/handle/20.500.12657/41267 LF 187 01 3520 https://library.oapen.org/handle/20.500.12657/41267 213 01 0551 https://library.oapen.org/handle/20.500.12657/41267 230 01 0552 https://library.oapen.org/handle/20.500.12657/41267 283 01 3283 https://library.oapen.org/handle/20.500.12657/41267 293 01 3293 https://library.oapen.org/handle/20.500.12657/41267 LF 370 01 4370 https://library.oapen.org/handle/20.500.12657/41267 603 01 4603 https://library.oapen.org/handle/20.500.12657/41267 808 01 4808 Volltextzugang https://library.oapen.org/handle/20.500.12657/41267 2403 01 DE-LFER https://library.oapen.org/bitstream/id/0af3a2fe-2ee8-4fd4-baae-273b2754557a/9781439892817.pdf 31 01 0027 00 eBook GBV-OAPEN 22 01 0018 OLR-ZDB-94-OAL 23 01 0830 OLR-OAPEN 30 01 0104 GBV-OAPEN 34 01 3551 OLR-OAPEN 39 01 0547 GBV-OAPEN 39 01 0547 LF 40 01 0007 OLR-OAPEN 63 01 3401 E-Books LF GBV-OAPEN 65 01 0003 OLR-OAPEN 70 01 0089 OLR-OAPEN-OA 72 01 0035 OLR-OAPEN-OA 95 01 3095 OLR-OAL 110 01 3110 OLR-GBV-OAPEN 136 01 3526 OLR-OAPEN 147 01 3528 OLR-OAPEN 161 01 0960 OLR-OAPEN 213 01 0551 OLR-OAPEN 230 01 0552 OLR-OAPEN 283 01 3283 OLR-OAL 293 01 3293 OLR-OAPEN 370 01 4370 OLR-FREE 370 01 4370 olr-ebook GBV-OAPEN 603 01 4603 OLR-OAPEN 808 01 4808 OLR-OAPEN
allfields_unstemmed	(DE-627)1836461844 (DE-599)KEP062200704 (OCoLC)1286416895 (OAPEN)41267 (EBP)062200704 DE-627 eng DE-627 rda eng UB bicssc THR bicssc TJKT1 bicssc TJ bicssc Hu, Fei verfasserin aut Intelligent Sensor Networks The Integration of Sensor Networks, Signal Processing and Machine Learning Boca Raton Taylor & Francis 2012 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Open Access Unrestricted online access star Although governments worldwide have invested significantly in intelligent sensor network research and applications, few books cover intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on the world-class research of award-winning authors, the book provides a firm grounding in the fundamentals of intelligent sensor networks, including compressive sensing and sampling, distributed signal processing, and intelligent signal learning. Presenting recent research results of world-renowned sensing experts, the book is organized into three parts: Machine Learning—describes the application of machine learning and other AI principles in sensor network intelligence—covering smart sensor/transducer architecture and data representation for intelligent sensors Signal Processing—considers the optimization of sensor network performance based on digital signal processing techniques—including cross-layer integration of routing and application-specific signal processing as well as on-board image processing in wireless multimedia sensor networks for intelligent transportation systems Networking—focuses on network protocol design in order to achieve an intelligent sensor networking—covering energy-efficient opportunistic routing protocols for sensor networking and multi-agent-driven wireless sensor cooperation Maintaining a focus on "intelligent" designs, the book details signal processing principles in sensor networks. It elaborates on critical platforms for intelligent sensor networks and illustrates key applications—including target tracking, object identification, and structural health monitoring. It also includes a paradigm for validating the extent of spatiotemporal associations among data sources to enhance data cleaning in sensor networks, a sensor stream reduction application, and also considers the use of Kalman filters for attack detection in a water system sensor network that consists of water level sensors and velocity sensors Creative Commons https://creativecommons.org/licenses/by-nc-nd/4.0 cc English Information technology: general issues Electronics & communications engineering Electrical engineering Mobile phone technology Information technology: general topics Electronics and communications engineering Hao, Qi herausgeberin edt https://library.oapen.org/bitstream/id/0af3a2fe-2ee8-4fd4-baae-273b2754557a/9781439892817.pdf X:OAPEN Verlag OAPEN Library: download the publication kostenfrei https://library.oapen.org/handle/20.500.12657/41267 X:OAPEN Verlag OAPEN Library: description of the publication kostenfrei ZDB-94-OAL GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_34 ISIL_DE-18-302 GBV_ILN_39 ISIL_DE-547 GBV_ILN_40 ISIL_DE-7 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_95 ISIL_DE-542 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_161 ISIL_DE-960 GBV_ILN_187 ISIL_DE-Ki95 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_283 ISIL_DE-Ha163 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_603 ISIL_DE-B1556 GBV_ILN_808 GBV_ILN_2403 ISIL_DE-LFER BO 22 01 0018 4280119856 OLR-ZDB-94-OAL OAPEN Library zu 01-03-23 23 01 0830 4280671907 OLR-OAPEN f z 01-03-23 30 01 0104 4281032495 GBV-OAPEN z 01-03-23 31 01 0027 4280314608 z 01-03-23 34 01 3551 4278870132 OLR-OAPEN zi002 01-03-23 39 01 0547 4281223495 GBV-OAPEN ke 01-03-23 40 01 0007 4279938628 OLR-OAPEN xsn 01-03-23 63 01 3401 4281605142 E-Books LF GBV-OAPEN z 01-03-23 65 01 0003 4281855475 OLR-OAPEN z 01-03-23 70 01 0089 4280492905 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 72 01 0035 4278692749 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 95 01 3095 4343219283 OLR-OAL Vervielfältigungen (z.B. 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Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 01-03-23 161 01 0960 4278126492 OLR-OAPEN OAPEN Online Library Open Access eBook z 28-02-23 187 01 3520 4278511299 JSTOR Open Access eBook z 28-02-23 213 01 0551 4279225303 OLR-OAPEN OAPEN Online Library Open Access eBook z 01-03-23 230 01 0552 4279402485 OLR-OAPEN OAPEN Online Library Open Access eBook z 01-03-23 283 01 3283 4279761396 OLR-OAL z 01-03-23 293 01 3293 4278305516 OLR-OAPEN OAPEN Online Library Open Access eBook z 28-02-23 370 01 4370 4279047871 OLR-FREE Kostenloser Zugriff z 01-03-23 603 01 4603 4277948545 OLR-OAPEN Bitte beachten Sie die Nutzungsbedingungen und Copyright-Bestimmungen des Verlages/Herausgebers. z 28-02-23 808 01 4808 4280850844 OLR-OAPEN OAPEN Library zg 01-03-23 2403 01 DE-LFER 4307800605 00 --%%-- --%%-- n --%%-- l01 12-04-23 22 01 0018 Volltextzugang https://library.oapen.org/handle/20.500.12657/41267 23 01 0830 https://library.oapen.org/handle/20.500.12657/41267 30 01 0104 Open Access https://library.oapen.org/handle/20.500.12657/41267 31 01 0027 eBook GBV-OAPEN https://library.oapen.org/handle/20.500.12657/41267 34 01 3551 OpenAccess https://library.oapen.org/handle/20.500.12657/41267 40 01 0007 Volltext, Open Access https://library.oapen.org/handle/20.500.12657/41267 63 01 3401 E-Book https://library.oapen.org/handle/20.500.12657/41267 65 01 0003 Open Access https://library.oapen.org/handle/20.500.12657/41267 65 01 0003 Dieser Titel ist Teil einer Datenbank http://www.bibliothek.uni-regensburg.de/dbinfo/detail.php?titel_id=10728&bib_id=ulb_hal 70 01 0089 https://library.oapen.org/handle/20.500.12657/41267 LF 72 01 0035 https://library.oapen.org/handle/20.500.12657/41267 95 01 3095 https://library.oapen.org/handle/20.500.12657/41267 110 01 3110 Open Access https://library.oapen.org/handle/20.500.12657/41267 136 01 3526 Open Access https://library.oapen.org/handle/20.500.12657/41267 147 01 3528 https://library.oapen.org/handle/20.500.12657/41267 161 01 0960 https://library.oapen.org/handle/20.500.12657/41267 LF 187 01 3520 https://library.oapen.org/handle/20.500.12657/41267 213 01 0551 https://library.oapen.org/handle/20.500.12657/41267 230 01 0552 https://library.oapen.org/handle/20.500.12657/41267 283 01 3283 https://library.oapen.org/handle/20.500.12657/41267 293 01 3293 https://library.oapen.org/handle/20.500.12657/41267 LF 370 01 4370 https://library.oapen.org/handle/20.500.12657/41267 603 01 4603 https://library.oapen.org/handle/20.500.12657/41267 808 01 4808 Volltextzugang https://library.oapen.org/handle/20.500.12657/41267 2403 01 DE-LFER https://library.oapen.org/bitstream/id/0af3a2fe-2ee8-4fd4-baae-273b2754557a/9781439892817.pdf 31 01 0027 00 eBook GBV-OAPEN 22 01 0018 OLR-ZDB-94-OAL 23 01 0830 OLR-OAPEN 30 01 0104 GBV-OAPEN 34 01 3551 OLR-OAPEN 39 01 0547 GBV-OAPEN 39 01 0547 LF 40 01 0007 OLR-OAPEN 63 01 3401 E-Books LF GBV-OAPEN 65 01 0003 OLR-OAPEN 70 01 0089 OLR-OAPEN-OA 72 01 0035 OLR-OAPEN-OA 95 01 3095 OLR-OAL 110 01 3110 OLR-GBV-OAPEN 136 01 3526 OLR-OAPEN 147 01 3528 OLR-OAPEN 161 01 0960 OLR-OAPEN 213 01 0551 OLR-OAPEN 230 01 0552 OLR-OAPEN 283 01 3283 OLR-OAL 293 01 3293 OLR-OAPEN 370 01 4370 OLR-FREE 370 01 4370 olr-ebook GBV-OAPEN 603 01 4603 OLR-OAPEN 808 01 4808 OLR-OAPEN
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Based on the world-class research of award-winning authors, the book provides a firm grounding in the fundamentals of intelligent sensor networks, including compressive sensing and sampling, distributed signal processing, and intelligent signal learning. Presenting recent research results of world-renowned sensing experts, the book is organized into three parts: Machine Learning—describes the application of machine learning and other AI principles in sensor network intelligence—covering smart sensor/transducer architecture and data representation for intelligent sensors Signal Processing—considers the optimization of sensor network performance based on digital signal processing techniques—including cross-layer integration of routing and application-specific signal processing as well as on-board image processing in wireless multimedia sensor networks for intelligent transportation systems Networking—focuses on network protocol design in order to achieve an intelligent sensor networking—covering energy-efficient opportunistic routing protocols for sensor networking and multi-agent-driven wireless sensor cooperation Maintaining a focus on "intelligent" designs, the book details signal processing principles in sensor networks. It elaborates on critical platforms for intelligent sensor networks and illustrates key applications—including target tracking, object identification, and structural health monitoring. It also includes a paradigm for validating the extent of spatiotemporal associations among data sources to enhance data cleaning in sensor networks, a sensor stream reduction application, and also considers the use of Kalman filters for attack detection in a water system sensor network that consists of water level sensors and velocity sensors Creative Commons https://creativecommons.org/licenses/by-nc-nd/4.0 cc English Information technology: general issues Electronics & communications engineering Electrical engineering Mobile phone technology Information technology: general topics Electronics and communications engineering Hao, Qi herausgeberin edt https://library.oapen.org/bitstream/id/0af3a2fe-2ee8-4fd4-baae-273b2754557a/9781439892817.pdf X:OAPEN Verlag OAPEN Library: download the publication kostenfrei https://library.oapen.org/handle/20.500.12657/41267 X:OAPEN Verlag OAPEN Library: description of the publication kostenfrei ZDB-94-OAL GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_34 ISIL_DE-18-302 GBV_ILN_39 ISIL_DE-547 GBV_ILN_40 ISIL_DE-7 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_95 ISIL_DE-542 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_161 ISIL_DE-960 GBV_ILN_187 ISIL_DE-Ki95 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_283 ISIL_DE-Ha163 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_603 ISIL_DE-B1556 GBV_ILN_808 GBV_ILN_2403 ISIL_DE-LFER BO 22 01 0018 4280119856 OLR-ZDB-94-OAL OAPEN Library zu 01-03-23 23 01 0830 4280671907 OLR-OAPEN f z 01-03-23 30 01 0104 4281032495 GBV-OAPEN z 01-03-23 31 01 0027 4280314608 z 01-03-23 34 01 3551 4278870132 OLR-OAPEN zi002 01-03-23 39 01 0547 4281223495 GBV-OAPEN ke 01-03-23 40 01 0007 4279938628 OLR-OAPEN xsn 01-03-23 63 01 3401 4281605142 E-Books LF GBV-OAPEN z 01-03-23 65 01 0003 4281855475 OLR-OAPEN z 01-03-23 70 01 0089 4280492905 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 72 01 0035 4278692749 OLR-OAPEN-OA OAPEN Online Library Open Access eBook z 01-03-23 95 01 3095 4343219283 OLR-OAL Vervielfältigungen (z.B. 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Presenting recent research results of world-renowned sensing experts, the book is organized into three parts: Machine Learning—describes the application of machine learning and other AI principles in sensor network intelligence—covering smart sensor/transducer architecture and data representation for intelligent sensors Signal Processing—considers the optimization of sensor network performance based on digital signal processing techniques—including cross-layer integration of routing and application-specific signal processing as well as on-board image processing in wireless multimedia sensor networks for intelligent transportation systems Networking—focuses on network protocol design in order to achieve an intelligent sensor networking—covering energy-efficient opportunistic routing protocols for sensor networking and multi-agent-driven wireless sensor cooperation Maintaining a focus on "intelligent" designs, the book details signal processing principles in sensor networks. 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title_full	Intelligent Sensor Networks The Integration of Sensor Networks, Signal Processing and Machine Learning
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title_auth	Intelligent Sensor Networks The Integration of Sensor Networks, Signal Processing and Machine Learning
abstract	Although governments worldwide have invested significantly in intelligent sensor network research and applications, few books cover intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on the world-class research of award-winning authors, the book provides a firm grounding in the fundamentals of intelligent sensor networks, including compressive sensing and sampling, distributed signal processing, and intelligent signal learning. Presenting recent research results of world-renowned sensing experts, the book is organized into three parts: Machine Learning—describes the application of machine learning and other AI principles in sensor network intelligence—covering smart sensor/transducer architecture and data representation for intelligent sensors Signal Processing—considers the optimization of sensor network performance based on digital signal processing techniques—including cross-layer integration of routing and application-specific signal processing as well as on-board image processing in wireless multimedia sensor networks for intelligent transportation systems Networking—focuses on network protocol design in order to achieve an intelligent sensor networking—covering energy-efficient opportunistic routing protocols for sensor networking and multi-agent-driven wireless sensor cooperation Maintaining a focus on "intelligent" designs, the book details signal processing principles in sensor networks. It elaborates on critical platforms for intelligent sensor networks and illustrates key applications—including target tracking, object identification, and structural health monitoring. It also includes a paradigm for validating the extent of spatiotemporal associations among data sources to enhance data cleaning in sensor networks, a sensor stream reduction application, and also considers the use of Kalman filters for attack detection in a water system sensor network that consists of water level sensors and velocity sensors
abstractGer	Although governments worldwide have invested significantly in intelligent sensor network research and applications, few books cover intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on the world-class research of award-winning authors, the book provides a firm grounding in the fundamentals of intelligent sensor networks, including compressive sensing and sampling, distributed signal processing, and intelligent signal learning. Presenting recent research results of world-renowned sensing experts, the book is organized into three parts: Machine Learning—describes the application of machine learning and other AI principles in sensor network intelligence—covering smart sensor/transducer architecture and data representation for intelligent sensors Signal Processing—considers the optimization of sensor network performance based on digital signal processing techniques—including cross-layer integration of routing and application-specific signal processing as well as on-board image processing in wireless multimedia sensor networks for intelligent transportation systems Networking—focuses on network protocol design in order to achieve an intelligent sensor networking—covering energy-efficient opportunistic routing protocols for sensor networking and multi-agent-driven wireless sensor cooperation Maintaining a focus on "intelligent" designs, the book details signal processing principles in sensor networks. It elaborates on critical platforms for intelligent sensor networks and illustrates key applications—including target tracking, object identification, and structural health monitoring. It also includes a paradigm for validating the extent of spatiotemporal associations among data sources to enhance data cleaning in sensor networks, a sensor stream reduction application, and also considers the use of Kalman filters for attack detection in a water system sensor network that consists of water level sensors and velocity sensors
abstract_unstemmed	Although governments worldwide have invested significantly in intelligent sensor network research and applications, few books cover intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on the world-class research of award-winning authors, the book provides a firm grounding in the fundamentals of intelligent sensor networks, including compressive sensing and sampling, distributed signal processing, and intelligent signal learning. Presenting recent research results of world-renowned sensing experts, the book is organized into three parts: Machine Learning—describes the application of machine learning and other AI principles in sensor network intelligence—covering smart sensor/transducer architecture and data representation for intelligent sensors Signal Processing—considers the optimization of sensor network performance based on digital signal processing techniques—including cross-layer integration of routing and application-specific signal processing as well as on-board image processing in wireless multimedia sensor networks for intelligent transportation systems Networking—focuses on network protocol design in order to achieve an intelligent sensor networking—covering energy-efficient opportunistic routing protocols for sensor networking and multi-agent-driven wireless sensor cooperation Maintaining a focus on "intelligent" designs, the book details signal processing principles in sensor networks. It elaborates on critical platforms for intelligent sensor networks and illustrates key applications—including target tracking, object identification, and structural health monitoring. It also includes a paradigm for validating the extent of spatiotemporal associations among data sources to enhance data cleaning in sensor networks, a sensor stream reduction application, and also considers the use of Kalman filters for attack detection in a water system sensor network that consists of water level sensors and velocity sensors
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title_short	Intelligent Sensor Networks
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Intelligent Sensor Networks : The Integration of Sensor Networks, Signal Processing and Machine Learning

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