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  • 1
    Online Resource
    Online Resource
    Data Analytics for Internet of Things Infrastructure (2023)
    Cham : Springer Nature Switzerland | Cham : Springer
    Details
    UID:
    b3kat_BV049358274
    Format: 1 Online-Ressource (XV, 326 p. 131 illus., 124 illus. in color)
    Edition: 1st ed. 2023
    ISBN: 9783031338083
    Series Statement: Internet of Things, Technology, Communications and Computing
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-33807-6
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-33809-0
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-33810-6
    Language: English
    DOI: 10.1007/978-3-031-33808-3
    URL: Volltext  (URL des Erstveröffentlichers)
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    FU Berlin
    TH Brandenburg
    HTW Berlin
    BTU Cottbus
  • 2
    Online Resource
    Online Resource
    Low Power Architectures for IoT Applications (2023)
    Singapore : Springer Nature Singapore | Singapore : Springer
    Details
    UID:
    b3kat_BV048918905
    Format: 1 Online-Ressource (XV, 261 p. 117 illus., 96 illus. in color)
    Edition: 1st ed. 2023
    ISBN: 9789819906390
    Series Statement: Springer Tracts in Electrical and Electronics Engineering
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-9906-38-3
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-9906-40-6
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-9906-41-3
    Language: English
    DOI: 10.1007/978-981-99-0639-0
    URL: Volltext  (URL des Erstveröffentlichers)
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    FU Berlin
    TH Brandenburg
    HTW Berlin
    BTU Cottbus
  • 3
    Online Resource
    Online Resource
    Cybersecurity Vigilance and Security Engineering of Internet of Everything (2024)
    Cham : Springer Nature Switzerland | Cham : Springer
    Details
    UID:
    b3kat_BV049442106
    Format: 1 Online-Ressource (XVII, 220 p. 43 illus., 38 illus. in color)
    Edition: 1st ed. 2024
    ISBN: 9783031451621
    Series Statement: Internet of Things, Technology, Communications and Computing
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-45161-4
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-45163-8
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-45164-5
    Language: English
    DOI: 10.1007/978-3-031-45162-1
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 4
    Online Resource
    Online Resource
    Intelligent Systems and Networks : Selected Articles from ICISN 2021, Vietnam (2021)
    Singapore : Springer Singapore | Singapore : Springer
    Details
    UID:
    b3kat_BV047316598
    Format: 1 Online-Ressource (XVI, 697 p. 445 illus., 332 illus. in color)
    Edition: 1st ed. 2021
    ISBN: 9789811620942
    Series Statement: Lecture Notes in Networks and Systems 243
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-162-093-5
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-162-095-9
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-162-096-6
    Language: English
    DOI: 10.1007/978-981-16-2094-2
    URL: Volltext  (URL des Erstveröffentlichers)
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    TH Brandenburg
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    BTU Cottbus
  • 5
    Online Resource
    Online Resource
    Data Analytics for Smart Grids Applications—A Key to Smart City Development (2023)
    Cham : Springer Nature Switzerland | Cham : Springer
    Details
    UID:
    b3kat_BV049441995
    Format: 1 Online-Ressource (XXVI, 451 p. 178 illus., 165 illus. in color)
    Edition: 1st ed. 2023
    ISBN: 9783031460920
    Series Statement: Intelligent Systems Reference Library 247
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-46091-3
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-46093-7
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-46094-4
    Language: English
    DOI: 10.1007/978-3-031-46092-0
    URL: Volltext  (URL des Erstveröffentlichers)
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    TH Brandenburg
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    BTU Cottbus
  • 6
    Online Resource
    Online Resource
    Micro-Electronics and Telecommunication Engineering : Proceedings of 7th ICMETE 2023 (2024)
    Singapore : Springer Nature Singapore | Singapore : Springer
    Details
    UID:
    b3kat_BV049640671
    Format: 1 Online-Ressource (XXIV, 815 p. 354 illus., 290 illus. in color)
    Edition: 1st ed. 2024
    ISBN: 9789819995622
    Series Statement: Lecture Notes in Networks and Systems 894
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-9995-61-5
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-9995-63-9
    Language: English
    DOI: 10.1007/978-981-99-9562-2
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 7
    Online Resource
    Online Resource
    Micro-Electronics and Telecommunication Engineering : Proceedings of 6th ICMETE 2022 (2023)
    Singapore : Springer Nature Singapore | Singapore : Springer
    Details
    UID:
    b3kat_BV049033138
    Format: 1 Online-Ressource (XXIV, 681 p. 282 illus., 221 illus. in color)
    Edition: 1st ed. 2023
    ISBN: 9789811995125
    Series Statement: Lecture Notes in Networks and Systems 617
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-1995-11-8
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-1995-13-2
    Language: English
    DOI: 10.1007/978-981-19-9512-5
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 8
    Online Resource
    Online Resource
    Advanced Machine Learning and Deep Learning Approaches for Remote Sensing (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
    Details
    UID:
    gbv_1869180178
    Format: 1 Online-Ressource (362 p.)
    ISBN: 9783036579467 , 9783036579474
    Content: This reprint provides research on how technologies such as artificial intelligence-based machine learning and deep learning can be applied to remote sensing. Through this, we can see the process of solving the existing problems of image and image signal processing for remote sensing. These techniques are computationally intensive and require the help of high-performance computing devices. With the development of devices such as GPUs, remote sensing technology, and aerial sensing technology, it is possible to monitor the Earth with high-resolution images and to obtain vast amounts of Earth observation data. The papers published in this reprint describe recent advances in big data processing and artificial intelligence-based technologies for remote sensing technology
    Note: English
    Language: Undetermined
    URL: kostenfrei
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    Online Resource
    Stabi Berlin
    UB Potsdam
  • 9
    Online Resource
    Online Resource
    Artificial Intelligence-Based Learning Approaches for Remote Sensing (2022)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
    Details
    UID:
    gbv_1832217841
    Format: 1 Online-Ressource (382 p.)
    ISBN: 9783036560830 , 9783036560847
    Content: The reprint focuses on artificial intelligence-based learning approaches and their applications in remote sensing fields. The explosive development of machine learning, deep learning approaches and its wide applications in signal processing have been witnessed in remote sensing. The new developments in remote sensing have led to a high resolution monitoring of ground on a global scale, giving a huge amount of ground observation data. Thus, artificial intelligence-based deep learning approaches and its applied signal processing are required for remote sensing. These approaches can be universal or specific tools of artificial intelligence, including well known neural networks, regression methods, decision trees, etc. It is worth compiling the various cutting-edge techniques and reporting on their promising applications
    Note: English
    Language: Undetermined
    URL: kostenfrei
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    Stabi Berlin
    UB Potsdam
  • 10
    Online Resource
    Online Resource
    Advanced machine learning and deep learning approaches for remote sensing (2023)
    Basel : MDPI
    Details
    UID:
    b3kat_BV049407299
    Format: 1 Online-Ressource (VII, 351 Seiten) , Diagramme
    ISBN: 9783036579474
    Note: Special issue reprint "Remote Sensing"
    Additional Edition: Erscheint auch als Druck-Ausgabe, Hardcover ISBN 978-3-0365-7946-7
    Language: English
    Keywords: Fernerkundung ; Maschinelles Lernen ; Deep learning ; Aufsatzsammlung
    DOI: 10.3390/books978-3-0365-7947-4
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
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    Fulltext
    Fulltext
    EUV Frankfurt
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