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Advances in Computational Intelligence: First International Conference, ICACI 2023, Hyderabad, India, December 1516, 2023, Proceedings 2024 ed. [Minkštas viršelis]

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  • Formatas: Paperback / softback, 125 pages, aukštis x plotis: 235x155 mm, 75 Illustrations, color; 14 Illustrations, black and white; XI, 125 p. 89 illus., 75 illus. in color., 1 Paperback / softback
  • Serija: Communications in Computer and Information Science 2164
  • Išleidimo metai: 25-Aug-2024
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3031700007
  • ISBN-13: 9783031700002
Kitos knygos pagal šią temą:
Advances in Computational Intelligence: First International Conference, ICACI 2023, Hyderabad, India, December 1516, 2023, Proceedings 2024 ed.Didesnis paveikslėlis
  • Formatas: Paperback / softback, 125 pages, aukštis x plotis: 235x155 mm, 75 Illustrations, color; 14 Illustrations, black and white; XI, 125 p. 89 illus., 75 illus. in color., 1 Paperback / softback
  • Serija: Communications in Computer and Information Science 2164
  • Išleidimo metai: 25-Aug-2024
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3031700007
  • ISBN-13: 9783031700002
Kitos knygos pagal šią temą:
Pastovi nuoroda: https://www.kriso.lt/db/9783031700002.html
This book constitutes the refereed proceedings of the First International Conference on Advances in Computational Intelligence, ICACI 2023, held in Hyderabad, India, during December 1516, 2023.





The 7 full papers and 2 short papers included in this book were carefully reviewed and selected from 234 submissions. These papers focus on the diverse applications of Data engineering in various areas such as Data Mining, Artificial Intelligence, Natural Language Processing, Pattern Recognition, and Machine Learning.
.- Smart Helmet.

.- Brain Tumor Detection Using CNN.

.- An Efficient Machine Learning Enabled Algorithm to Predict Student
Performance in Higher  Education.

.- Accelerating Neural Network Model Deployment  with Transfer Learning
Techniques using Cloud Edge Smart IoT Architecture.

.- Machine Learning Revolutionizing in Gestational Diabetes Care.

.- Detection of Malwares on Android Devices Using A Genetic Algorithm Based
Feature Selection And Machine Learning.

.- Deep Learning Based Health Care System Using Chest X Ray Scans for
Image Classification.

.- Advancements and Challenges in Text Summarization: An Overview of Methods
and Strategies in Brief.

.- A Novel Methodology to Predict and Detect the Consumption of Power for
Smart Commercial Areas using Stacked GRU and LSTM (called Deep GRULS
Architecture).