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Alexiei Dingli (ed.) | Akateeminen Kirjakauppa

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Artificial Intelligence in Industry 4.0 : A Collection of Innovative Research Case-studies that are Reworking the Way We Look at
Alexiei Dingli (ed.); Foaad Haddod (ed.); Christina Klüver (ed.)
Springer (2021)
Kovakantinen kirja
143,50
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Artificial Intelligence in Industry 4.0 : A Collection of Innovative Research Case-studies that are Reworking the Way We Look at
Alexiei Dingli (ed.); Foaad Haddod (ed.); Christina Klüver (ed.)
Springer (2022)
Pehmeäkantinen kirja
143,50
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Disruptive Technologies in Media, Arts and Design : A Collection of Innovative Research Case-Studies that Explore the Use of Art
Alexiei Dingli (ed.); Alexander Pfeiffer (ed.); Alesha Serada (ed.); Mark Bugeja (ed.); Stephen Bezzina (ed.)
Springer (2022)
Pehmeäkantinen kirja
143,50
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Rediscovering Heritage Through Technology : A Collection of Innovative Research Case Studies That Are Reworking The Way We Exper
Dylan Seychell (ed.); Alexiei Dingli (ed.)
Springer (2020)
Kovakantinen kirja
125,70
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Rediscovering Heritage Through Technology : A Collection of Innovative Research Case Studies That Are Reworking The Way We Exper
Dylan Seychell (ed.); Alexiei Dingli (ed.)
Springer (2021)
Pehmeäkantinen kirja
125,70
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Artificial Intelligence in Industry 4.0 : A Collection of Innovative Research Case-studies that are Reworking the Way We Look at
143,50 €
Springer
Sivumäärä: 236 sivua
Asu: Kovakantinen kirja
Julkaisuvuosi: 2021, 28.02.2021 (lisätietoa)
Kieli: Englanti
Tuotesarja: Studies in Computational Intelligence 928
This book is intended to help management and other interested parties such as engineers, to understand the state of the art when it comes to the intersection between AI and Industry 4.0 and get them to realise the huge possibilities which can be unleashed by the intersection of these two fields. We have heard a lot about Industry 4.0, but most of the time, it focuses mainly on automation. In this book, the authors are going a step further by exploring advanced applications of Artificial Intelligence (AI) techniques, ranging from the use of deep learning algorithms in order to make predictions, up to an implementation of a full-blown Digital Triplet system. The scope of the book is to showcase what is currently brewing in the labs with the hope of migrating these technologies towards the factory floors. Chairpersons and CEOs must read these papers if they want to stay at the forefront of the game, ahead of their competition, while also saving huge sums of money in the process.

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