IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning (eBook, PDF)

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
Redaktion: Gama, Joao; Blott, Michaela; Schiele, Gregor; Pernkopf, Franz; Fröning, Holger; Sayed-Mouchawe, Moamar; Bifet, Albert; Pashami, Sepideh

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 310
• Erscheinungstermin: 9. Januar 2021
• Englisch
• ISBN-13: 9783030667702
• Artikelnr.: 62290924

Inhaltsangabe

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