IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning

Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers

Joao Gama, Sepideh Pashami, Albert Bifet, Moamar Sayed-Mouchawe, Holger Fröning, Franz Pernkopf, Gregor Schiele, Michaela Blott (Herausgeber)

Buch | Softcover

XVII, 310 Seiten

2021 | 1st ed. 2020
Springer International Publishing (Verlag)
978-3-030-66769-6 (ISBN)

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This book constitutes selected papers from the Second International Workshop on IoT Streams for Data-Driven Predictive Maintenance, IoT Streams 2020, and First International Workshop on IoT, Edge, and Mobile for Embedded Machine Learning, ITEM 2020, co-located with ECML/PKDD 2020 and held in September 2020. Due to the COVID-19 pandemic the workshops were held online.
The 21 full papers and 3 short papers presented in this volume were thoroughly reviewed and selected from 35 submissions and are organized according to the workshops and their topics: IoT Streams 2020: Stream Learning; Feature Learning; ITEM 2020: Unsupervised Machine Learning; Hardware; Methods; Quantization.

Stream Learning.- Feature Learning.- Unsupervised Machine Learning.- Hardware.- Methods.- Quantization.

Erscheinungsdatum	12.01.2021
Reihe/Serie	Communications in Computer and Information Science
Zusatzinfo	XVII, 310 p. 84 illus.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	499 g
Themenwelt	Informatik ► Software Entwicklung ► Mobile- / App-Entwicklung
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	Applications • Artificial Intelligence • Computer Hardware • Computer Networks • Computer Science • Computer systems • conference proceedings • Data Mining • Data Security • distributed computer systems • Distributed Systems • Embedded Systems • Field Programmable Gate Array (FPGA) • Informatics • learning • machine learning • Microprocessor chips • Network Protocols • Neural networks • parallel processing systems • Research • sensors • Signal Processing • Software engineering
ISBN-10	3-030-66769-3 / 3030667693
ISBN-13	978-3-030-66769-6 / 9783030667696
Zustand	Neuware