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IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning: Communications in Computer and Information Science, cartea 1325

Editat de Joao Gama, Sepideh Pashami, Albert Bifet, Moamar Sayed-Mouchawe, Holger Fröning, Franz Pernkopf, Gregor Schiele, Michaela Blott
en Limba Engleză Paperback – 10 ian 2021
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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Specificații

ISBN-13: 9783030667696
ISBN-10: 3030667693
Pagini: 328
Ilustrații: XVII, 310 p. 84 illus.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.5 kg
Ediția:1st edition 2020
Editura: Springer
Colecția Communications in Computer and Information Science
Seria Communications in Computer and Information Science

Locul publicării:Cham, Switzerland

Cuprins

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