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Advanced Computing

- 13th International Conference, Iacc 2023, Kolhapur, India, December 15-16, 2023, Revised Selected Papers, Part I

About Advanced Computing

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.

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  • Language:
  • English
  • ISBN:
  • 9783031566998
  • Binding:
  • Paperback
  • Published:
  • April 14, 2024
  • Dimensions:
  • 156x234x27 mm.
  • Weight:
  • 739 g.
Delivery: 1-2 weeks
Expected delivery: December 11, 2024

Description of Advanced Computing

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.

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