株式会社極東書店トップ ＞ 商品一覧 ＞ Advanced Computing: 13th International Conference, IACC 2023, Kolhapur, India, December 15-16, 2023, Revised Selected Papers, Part I. 2024 ed.
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Advanced Computing: 13th International Conference, IACC 2023, Kolhapur, India, December 15-16, 2023, Revised Selected Papers, Part I. 2024 ed.
・ISBN 978-3-031-56699-8 paper EUR 89.99
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| 著者・編者 | Garg, Deepak / Rodrigues, Joel J. P. C. / Gupta, Suneet Kumar / Cheng, Xiaochun / Sarao, Pushpender / Patel, Govind Singh (eds.), |
|---|---|
| シリーズ | (Communications in Computer and Information Science) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2024 |
| ページ数 | 504 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-42706＞ |
解説
The two-volume set CCIS 2053 and 2054 constitutes the refereed post-conference proceedings of the 13th International Advanced Computing Conference, IACC 2023, held in Kolhapur, India, during December 15-16, 2023.
The 66 full papers and 6 short papers presented in these proceedings were carefully reviewed and selected from 425 submissions. The papers are organized in the following topical sections:
Volume I:
The AI renaissance: a new era of human-machine collaboration; application of recurrent neural network in natural language processing, AI content detection and time series data analysis; unveiling the next frontier of AI advancement.
Volume II:
Agricultural resilience and disaster management for sustainable harvest; disease and abnormalities detection using ML and IOT; application of deep learning in healthcare; cancer detection using AI.
The 66 full papers and 6 short papers presented in these proceedings were carefully reviewed and selected from 425 submissions. The papers are organized in the following topical sections:
Volume I:
The AI renaissance: a new era of human-machine collaboration; application of recurrent neural network in natural language processing, AI content detection and time series data analysis; unveiling the next frontier of AI advancement.
Volume II:
Agricultural resilience and disaster management for sustainable harvest; disease and abnormalities detection using ML and IOT; application of deep learning in healthcare; cancer detection using AI.