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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
Attention for Chapter 6: Design and Implementation of IoT-Enabled Intelligent Fire Detection System Using Neural Networks
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Citations

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Chapter title
Design and Implementation of IoT-Enabled Intelligent Fire Detection System Using Neural Networks
Chapter number 6
Book title
Artificial Intelligence and Mobile Services – AIMS 2023
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-45140-9_6
Book ISBNs
978-3-03-145139-3, 978-3-03-145140-9
Authors

Almohammedi, Akram A., Balfaqih, Mohammed, Nahas, Sohaib, Bokhari, Abdullah, Alqudsi, Abdulaziz

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 100%
Readers by discipline Count As %
Unspecified 1 100%

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