Artificial Intelligence Annual Volume 2024
The academic interest in artificial intelligence (AI) has grown exponentially in recent years. The rapid development of AI technologies and the interdisciplinary nature of research in AI and its applications have contributed considerably to the global popularity of this research field. This volume d...
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| フォーマット: | Online |
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| 言語: | 英語 |
| 出版事項: |
IntechOpen
2025
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| 主題: | |
| オンライン･アクセス: | ONIX_20250220_9780850149388_39 |
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| _version_ | 1869526749585342464 |
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| collection | Directory of Open Access Books |
| description | The academic interest in artificial intelligence (AI) has grown exponentially in recent years. The rapid development of AI technologies and the interdisciplinary nature of research in AI and its applications have contributed considerably to the global popularity of this research field. This volume deals with three key areas of the advancements in AI: machine learning and data mining, computer vision, and multi-agent systems. The increasing availability of vast data sets and powerful computing resources has enabled the development of more complex algorithms and models to address real-world challenges. In addition, deep learning has revolutionized the field of artificial intelligence, with computer vision being at the forefront of innovations. Multi-agent systems (MAS) have also proven to be the best fitting state-of-the-art within the AI framework for raising distributed AI technologies and applications such as smart cities and the Internet of (every)thing(s). Extended with machine learning, MAS have become very popular for researchers in every field, especially in autonomous vehicular technologies. This book should serve as a valuable resource not just to scientists dealing with AI research but also to anyone interested in its broad application areas across various disciplines. |
| format | Online |
| id | doab-20.500.12854ir-152522 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1525222025-02-20T08:11:38Z Artificial Intelligence Annual Volume 2024 Papakostas, George A. Antonio Aceves-Fernández, Marco Emin Aydin, Mehmet thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence The academic interest in artificial intelligence (AI) has grown exponentially in recent years. The rapid development of AI technologies and the interdisciplinary nature of research in AI and its applications have contributed considerably to the global popularity of this research field. This volume deals with three key areas of the advancements in AI: machine learning and data mining, computer vision, and multi-agent systems. The increasing availability of vast data sets and powerful computing resources has enabled the development of more complex algorithms and models to address real-world challenges. In addition, deep learning has revolutionized the field of artificial intelligence, with computer vision being at the forefront of innovations. Multi-agent systems (MAS) have also proven to be the best fitting state-of-the-art within the AI framework for raising distributed AI technologies and applications such as smart cities and the Internet of (every)thing(s). Extended with machine learning, MAS have become very popular for researchers in every field, especially in autonomous vehicular technologies. This book should serve as a valuable resource not just to scientists dealing with AI research but also to anyone interested in its broad application areas across various disciplines. 2025-02-20T08:11:36Z 2025-02-20T08:11:36Z 2024 book ONIX_20250220_9780850149388_39 9780850149388 9780850149395 9780850149401 https://directory.doabooks.org/handle/20.500.12854/152522 eng image/jpeg n/a https://www.intechopen.com/books/1004900 https://intech-files.s3.amazonaws.com/a04Tc00000CumB7IAJ/0016804_Authors_Book%20%282024-12-24%2009%3A14%3A26%29.pdf IntechOpen IntechOpen 10.5772/intechopen.1008722 10.5772/intechopen.1008722 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9780850149388 9780850149395 9780850149401 IntechOpen 168 open access |
| spellingShingle | thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence Artificial Intelligence Annual Volume 2024 |
| title | Artificial Intelligence Annual Volume 2024 |
| title_full | Artificial Intelligence Annual Volume 2024 |
| title_fullStr | Artificial Intelligence Annual Volume 2024 |
| title_full_unstemmed | Artificial Intelligence Annual Volume 2024 |
| title_short | Artificial Intelligence Annual Volume 2024 |
| title_sort | artificial intelligence annual volume 2024 |
| topic | thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence |
| topic_facet | thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence |
| url | ONIX_20250220_9780850149388_39 |