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Titlebook: Digital Interaction and Machine Intelligence; Proceedings of MIDI’ Cezary Biele,Janusz Kacprzyk,Marcin Sikorski Conference proceedings‘‘‘‘‘

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书目名称Digital Interaction and Machine Intelligence
副标题Proceedings of MIDI’
编辑Cezary Biele,Janusz Kacprzyk,Marcin Sikorski
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概述Presents the Proceedings of the 9th Machine Intelligence and Digital Interaction Conference.This volume is devoted to the two parts: (1) Machine Intelligence and (2) Digital Interaction MIDI.Written b
丛书名称Lecture Notes in Networks and Systems
图书封面Titlebook: Digital Interaction and Machine Intelligence; Proceedings of MIDI’ Cezary Biele,Janusz Kacprzyk,Marcin Sikorski Conference proceedings‘‘‘‘‘
描述.This book is open access, which means that you have free and unlimited access..This book presents the Proceedings of the 9th Machine Intelligence and Digital Interaction Conference. Significant progress in the development of artificial intelligence (AI) and its wider use in many interactive products are quickly transforming further areas of our life, which results in the emergence of various new social phenomena. Many countries have been making efforts to understand these phenomena and find answers on how to put the development of artificial intelligence on the right track to support the common good of people and societies. These attempts require interdisciplinary actions, covering not only science disciplines involved in the development of artificial intelligence and human-computer interaction but also close cooperation between researchers and practitioners. For this reason, the main goal of the MIDI conference held on 9-10.12.2021 as a virtual event is to integrate two, until recently, independent fields of research in computer science: broadly understood artificial intelligence and human-technology interaction.   .  .
出版日期Conference proceedings‘‘‘‘‘‘‘‘ 2022
关键词Computational Intelligence; AI; MIDI 2021; MIDI; Machine Intelligence; Digital Interaction; Open Access
版次1
doihttps://doi.org/10.1007/978-3-031-11432-8
isbn_softcover978-3-031-11431-1
isbn_ebook978-3-031-11432-8Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s) 2022
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Localization Using DeepLab in Document Images Taken by Smartphonesain that is to digitize a report from a picture. This calls for the localization of the report in the picture. Several approaches are deliberate to resolve this hassle; however, they are supported historical picture method strategies that are not robust to intense viewpoints and backgrounds. Deep Co
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Deep Neural Networks Approach to Microbial Colony Detection—A Comparative Analysises towards automatic microbial counting using artificial intelligence are hardly comparable due to the lack of unified methodology and the availability of large datasets. The recently introduced AGAR dataset is the answer to the second need, but the research carried out is still not exhaustive. To t
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