โ Scribed by Kamal Kant Hiran (editor); Deepak Khazanchi (editor); Ajay Kumar Vyas (editor); Sanjeevikumar Padmanaban (editor)
No coin nor oath required. For personal study only.
The book will focus on the applications of machine learning for sustainable development. Machine learning (ML) is an emerging technique whose diffusion and adoption in various sectors (such as energy, agriculture, internet of things, infrastructure) will be of enormous benefit. The state of the art of machine learning models is most useful for forecasting and prediction of various sectors for sustainable development.
Preface
Contents
About editors
List of contributors
Chapter 1. A framework for applying artificial intelligence (AI) with Internet of nanothings (IoNT)
Chapter 2 Opportunities and challenges in transforming higher education through machine learning
Chapter 3 Efficient renewable energy integration: a pertinent problem and advanced time series data analytics solution
Chapter 4 A comprehensive review on the application of machine learning techniques for analyzing the smart meter data
Chapter 5 Application of machine learning algorithms for facial expression analysis
Chapter 6 Prediction of quality analysis for crop based on machine learning model
Chapter 7 Data model recommendations for real-time machine learning applications: a suggestive approach
Chapter 8 Machine learning for sustainable agriculture
Chapter 9 Application of machine learning in SLAM algorithms
Chapter 10 Machine learning for weather forecasting
Chapter 11 Applications of conventional machine learning and deep learning for automation of diagnosis: case study
Index
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