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Artificial Intelligence and Mobile Services AIMS 2023: 12th International Conference, Held as Part of the Services Conference Federation, SCF 2023, Honolulu, HI, USA, September 2326, 2023, Proceedings 1st ed. 2023 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 117 pages, height x width: 235x155 mm, weight: 213 g, 26 Illustrations, color; 11 Illustrations, black and white; XIII, 117 p. 37 illus., 26 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 14202
  • Izdošanas datums: 02-Oct-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031451392
  • ISBN-13: 9783031451393
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  • Mīkstie vāki
  • Cena: 51,37 €*
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  • Formāts: Paperback / softback, 117 pages, height x width: 235x155 mm, weight: 213 g, 26 Illustrations, color; 11 Illustrations, black and white; XIII, 117 p. 37 illus., 26 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 14202
  • Izdošanas datums: 02-Oct-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031451392
  • ISBN-13: 9783031451393
Citas grāmatas par šo tēmu:

This book constitutes the refereed proceedings of the 12th International Conference on Artificial Intelligence and Mobile Services, AIMS 2023, Held as Part of the Services Conference Federation, SCF 2023, Honolulu, HI, USA, September 23–26, 2023.

The 9 full papers presented together and selected from 16 submissions. The conference focuses on AI modeling; AI analysis; AI & mobile applications; AI architecture; AI management; AI engineering; mobile backend as a service (MBaaS); and user experience of AI & mobile services.

Research Track.- Artificial Bee Colony Algorithm Based on Improved
Search Strategy.- Pathological Voice Recognition Based on Multi-Feature
Fusion.- A Generative Model for Structured Sentiment Analysis.- Artificial
Bee Colony Algorithm Based on Improved Search Strategy.- Traffic Flow
Prediction Based on Attention Mechanism Convolutional Neural
Network.- Application Track.- Design and Implementation of IoT-Enabled
Intelligent Fire Detection System Using Neural Networks.- Integrating
State-Of-The-Art Face Recognition and Anti-Spoofing Techniques Into
Enterprise Information Systems.- The Load Forecasting of Special Transformer
Users Based on Unsupervised Fusion Model.- Edge AI Patterns.