| 书目名称 | Towards Digital Intelligence Society |
| 副标题 | A Knowledge-based Ap |
| 编辑 | Ján Paralič,Peter Sinčák,Vladimír Mařík |
| 视频video | |
| 概述 | Highlights selected research challenges in digital intelligence and addresses the latest methods of how to face them.Reports on recent advances in intelligent analysis of big data, including data stre |
| 丛书名称 | Advances in Intelligent Systems and Computing |
| 图书封面 |  |
| 描述 | This book aims to provide readers with up-to-date knowledge on how to make these technologies smarter. Humanity is now going through difficult times to fight the Covid-19 pandemic. Simultaneously, in these difficult times of physical separation, we can also realize how much digital society technology helps us cope with many difficulties that bring us this time. The authors focus on selected research challenges for intelligent digital society and state-of-the-art methods of how to face them.. The book’s subtitle suggests that a core concept that the reader can study from various points of view in particular book chapters is the knowledge. The knowledge that can help us intelligently face different digital society challenges (Part I of this book); the knowledge extracted from available big data employing intelligent analysis techniques (Part II). For efficient processing and analysis of data, there is a strong need for smart data andinformation modeling techniques (Part III).. |
| 出版日期 | Conference proceedings 2021 |
| 关键词 | Digital Intelligence; Cloud & Edge Computing; Deep Learning Structures and Neural Networks; Fuzzy Syste |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-63872-6 |
| isbn_softcover | 978-3-030-63871-9 |
| isbn_ebook | 978-3-030-63872-6Series ISSN 2194-5357 Series E-ISSN 2194-5365 |
| issn_series | 2194-5357 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 17:09:41
