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Machine learning for sustainable development / edited by Kamal Kant Hiran, Deepak Khazanchi, Ajay Kumar Vyas and Sanjeevikumar Padmanaban.
- Format:
- Book
- Series:
- De Gruyter frontiers in computational intelligence ; v. 9.
- De Gruyter Frontiers in Computational Intelligence ; volume 9
- Language:
- English
- Subjects (All):
- Sustainable development.
- Machine learning.
- Artificial intelligence.
- Internet of things.
- Genre:
- Dictionaries.
- Physical Description:
- 1 online resource (xiii, 200 pages) : illustrations (some color).
- Place of Publication:
- Berlin ; Boston : Walter de Gruyter GmbH, [2021]
- Language Note:
- In English.
- System Details:
- text file PDF
- Contents:
- 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
- Notes:
- Includes bibliographical references and index.
- Electronic reproduction. Berlin Available via World Wide Web.
- Description based on online resource; title from digital title page (viewed on August 09, 2021).
- Other Format:
- Print version: Machine learning for sustainable development /.
- ISBN:
- 9783110702514
- 3110702517
- Publisher Number:
- 40030651809
- Access Restriction:
- Restricted for use by site license.
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