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Artificial Intelligence and Mobile Services – AIMS 2023

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Cover of 'Artificial Intelligence and Mobile Services – AIMS 2023'

Table of Contents

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    Book Overview
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    Chapter 1 Artificial Bee Colony Algorithm Based on Improved Search Strategy
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    Chapter 2 Pathological Voice Recognition Based on Multi-feature Fusion
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    Chapter 3 A Generative Model for Structured Sentiment Analysis
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    Chapter 4 Artificial Bee Colony Algorithm Based on Quantum Bloch Spherical Optimization
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    Chapter 5 Traffic Flow Prediction Based on Attention Mechanism Convolutional Neural Network
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    Chapter 6 Design and Implementation of IoT-Enabled Intelligent Fire Detection System Using Neural Networks
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    Chapter 7 Integrating State-of-the-Art Face Recognition and Anti-Spoofing Techniques into Enterprise Information Systems
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    Chapter 8 The Load Forecasting of Special Transformer Users Based on Unsupervised Fusion Model
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    Chapter 9 Edge AI Patterns
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Title
Artificial Intelligence and Mobile Services – AIMS 2023
Published by
Springer Nature Switzerland, November 2023
DOI 10.1007/978-3-031-45140-9
ISBNs
978-3-03-145139-3, 978-3-03-145140-9
Editors

Yang, Yujiu, Wang, Xiaohui, Zhang, Liang-Jie

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