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Advanced Computing 13th International Conference, IACC 2023, Kolhapur, India, December 15–16, 2023, Revised Selected Papers, Part I /

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 rev...

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מידע ביבליוגרפי
מחבר תאגידי: SpringerLink (Online service)
מחברים אחרים: Garg, Deepak (Editor), Rodrigues, Joel J. P. C. (Editor), Gupta, Suneet Kumar (Editor), Cheng, Xiaochun (Editor), Sarao, Pushpender (Editor), Patel, Govind Singh (Editor)
פורמט: אלקטרוני ספר אלקטרוני
שפה:אנגלית
יצא לאור: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
מהדורה:1st ed. 2024.
סדרה:Communications in Computer and Information Science, 2053
נושאים:
Artificial intelligence.
Computer engineering.
Computer networks .
Application software.
Education > Data processing.
Image processing > Digital techniques.
Computer vision.
Artificial Intelligence.
Computer Engineering and Networks.
Computer and Information Systems Applications.
Computers and Education.
Computer Imaging, Vision, Pattern Recognition and Graphics.
גישה מקוונת:https://doi.org/10.1007/978-3-031-56700-1
תגים: הוספת תג
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תיאור
סיכום: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.
תיאור פיזי:XXVIII, 504 p. 262 illus., 206 illus. in color. online resource.
ISBN:9783031567001
ISSN:1865-0937 ;
DOI:10.1007/978-3-031-56700-1

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