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Artificial Intelligence and Mobile Services – AIMS 2023

Overview of attention for book
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
Attention for Chapter 8: The Load Forecasting of Special Transformer Users Based on Unsupervised Fusion Model
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Citations

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Chapter title
The Load Forecasting of Special Transformer Users Based on Unsupervised Fusion Model
Chapter number 8
Book title
Artificial Intelligence and Mobile Services – AIMS 2023
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-45140-9_8
Book ISBNs
978-3-03-145139-3, 978-3-03-145140-9
Authors

Tang, Yuanyang, Yu, Liang, Pang, Zhenjiang, Hong, Haimin, Zhan, Zhaowu, Zhao, Chengwen, Wu, Minglang, Jin, Fei

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 50%
Unknown 1 50%
Readers by discipline Count As %
Engineering 1 50%
Unknown 1 50%

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