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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 23–26, 2023, Proceedings de Yujiu Yang

Artificial Intelligence and Mobile Services – AIMS 2023: 12th International Conference, Held as Part of the Services Conference Federation, SCF 2023, Honolulu, HI, USA, September 23–26, 2023, Proceedings: Lecture Notes in Computer Science, cartea 14202

Editat de Yujiu Yang, Xiaohui Wang, Liang-Jie Zhang
en Limba Engleză Paperback – 2 oct 2023
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.
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Specificații

ISBN-13: 9783031451393
ISBN-10: 3031451392
Pagini: 117
Ilustrații: XIII, 117 p. 37 illus., 26 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.2 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

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.