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

Name: IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning
Brand: Springer Nature Switzerland AG
SKU: 9783030667696
Price: 1944 CZK
Availability: InStock

Autor: Sepideh Pashami, Albert Bifet, Michaela Blott, Holger Fröning, Franz Pernkopf, Gregor Schiele, Moamar Sayed-Mouchawe

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer Nature Switzerland AG

Dostupnost: Skladem u dodavatele

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This book constitutes selected papers from the Second International Workshop on IoT Streams for Data...

Informace o knize

Autor

Sepideh Pashami, Albert Bifet, Michaela Blott, Holger Fröning, Franz Pernkopf, Gregor Schiele, Moamar Sayed-Mouchawe

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2021

Stránek

310

EAN

9783030667696

ISBN

3030667693

Enbook ID

33553013

Vydavatel

Springer Nature Switzerland AG

Hmotnost

504

Rozměry

155 x 235 x 18

Kompletní popis

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.

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

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