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Machine Learning and Internet of Things for Societal Issues / edited by Ch. Satyanarayana, Xiao-Zhi Gao, Choo-Yee Ting, Naresh Babu Muppalaneni
(Advanced Technologies and Societal Change. ISSN:21916861)

データ種別 電子ブック
1st ed. 2022.
出版者 (Singapore : Springer Nature Singapore : Imprint: Springer)
出版年 2022
大きさ XVII, 157 p. 82 illus., 65 illus. in color : online resource
著者標目 Satyanarayana, Ch editor
Gao, Xiao-Zhi editor
Ting, Choo-Yee editor
Muppalaneni, Naresh Babu editor
SpringerLink (Online service)

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射水-電子 007 EB0003201 Computer Scinece R0 2005-6,2022-3

9789811650901

書誌詳細を非表示

一般注記 Machine and Deep learning techniques for Image Classification -- IoT based Techniques for smart Agriculture -- Machine and Deep learning techniques for Satellite Image Analysis -- Machine and Deep learning techniques for Automatic Speech Recognition -- Machine and Deep learning techniques for Object Detection -- Machine and Deep learning techniques for Object Segmentation -- Machine and Deep learning techniques for Automatic Image Caption Generation -- Machine and Deep learning techniques for Automatically Adding Sounds to Silent Movies -- Machine and Deep learning techniques for News Aggregation and Fraud News Detection -- Machine and Deep learning techniques for Natural Language Processing -- Machine and Deep learning techniques for Smart Sign Language Recognition System for Dumb and Deaf People -- Machine and Deep learning techniques for Smart Text Reader System for Blind Person -- Machine and Deep learning techniques for Automatic Language Translation System -- Machine and Deep learning techniques for Automatic Handwriting Generation System -- Machine and Deep learning techniques for Biomedical Image Processing Applications -- Machine and Deep learning techniques for Healthcare Monitoring System -- Machine and Deep learning techniques for Impact of IoT in Biomedical Applications -- Emerging Pedagogies of Machine Learning and Deep Learning in Smart Agriculture -- Machine and Deep learning techniques in Finance -- Machine and Deep Learning Techniques in System Biology -- IoT Based Road Safety Applications
This book highlights recent advance in the area of Machine Learning and IoT, and their applications to solve societal issues/problems or useful for various users in the society. It is known that many smart devices are interconnected and the data generated is being analyzed and processed with machine learning models for prediction, classification, etc., to solve human needs in various sectors like health, road safety, agriculture, and education. This contributed book puts together chapters concerning the use of intelligent techniques in various aspects related to the IoT domain from protocols to applications, to give the reader an up-to-date picture of the state-of-the-art on the connection between computational intelligence, machine learning, and IoT
HTTP:URL=https://doi.org/10.1007/978-981-16-5090-1
件 名 LCSH:Machine learning
LCSH:Internet of things
LCSH:Artificial intelligence
LCSH:Computational intelligence
LCSH:Signal processing
FREE:Machine Learning
FREE:Internet of Things
FREE:Artificial Intelligence
FREE:Computational Intelligence
FREE:Signal, Speech and Image Processing
分 類 LCC:Q325.5-.7
DC23:006.31
書誌ID EB00002589
ISBN 9789811650901

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