9783030667696-3030667693-IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning (Communications in Computer and Information Science)

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

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Summary

IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning (Communications in Computer and Information Science) (ISBN-13: 9783030667696 and ISBN-10: 3030667693), written by authors Joao Gama, Albert Bifet, Sepideh Pashami, Moamar Sayed-Mouchawe, Holger Fröning, Franz Pernkopf, Gregor Schiele, Michaela Blott, was published by Springer in 2021. With an overall rating of 4.0 stars, it's a notable title among other Business Technology (Data Processing, Databases & Big Data, Maintenance, Repair & Upgrading, Hardware & DIY, Internet & Networking, Networking & Cloud Computing, Schools & Teaching) books. You can easily purchase or rent IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning (Communications in Computer and Information Science) (Paperback) from BooksRun, along with many other new and used Business Technology books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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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