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Machine Learning and Internet of Things for Societal Issues

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...

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Bibliographic Details
Other Authors: Satyanarayana, Ch (Editor), Gao, Xiao-Zhi (Editor), Ting, Choo-Yee (Editor), Muppalaneni, Naresh Babu (Editor)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2022, 2022
Edition:1st ed. 2022
Series:Advanced Technologies and Societal Change
Subjects:
Machine Learning
Computational Intelligence
Internet Of Things
Artificial Intelligence
Signal, Speech And Image Processing
Signal Processing
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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

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