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Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications

  • Book
  • © 2021

Overview

Editors:
  1. Aboul Ella Hassanien

    1. Information Technology Department, Faculty of Computers and Information, Cairo University, Giza, Egypt

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  2. Roheet Bhatnagar

    1. Department of Computer Science and Engineering, Faculty of Engineering, Manipal University, Jaipur, India

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    You can also search for this editor in PubMed   Google Scholar

  3. Ashraf Darwish

    1. Faculty of Science, Helwan University, Cairo, Egypt

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    You can also search for this editor in PubMed   Google Scholar

  • Presents the latest advances in the field of artificial intelligence and related technologies, with a focus on sustainable development and eco-friendly AI applications
  • Presents high-quality scientific articles covering all aspects of AI for sustainable development
  • Helps to identify those aspects of the connected smarter world that are key enablers of AI sustainable applications to support state-of-the-art technologies

Part of the book series: Studies in Computational Intelligence (SCI, volume 912)

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Table of contents (15 chapters)

  1. Front Matter

    Pages i-viii
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  2. Artificial Intelligence in Sustainability Agricultures

    1. Front Matter

      Pages 1-1
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    2. Optimization of Drip Irrigation Systems Using Artificial Intelligence Methods for Sustainable Agriculture and Environment

      • Dmitriy Klyushin, Andrii Tymoshenko
      Pages 3-17

    3. Artificial Intelligent System for Grape Leaf Diseases Classification

      • Kamel K. Mohammed, Ashraf Darwish, Aboul Ella Hassenian
      Pages 19-29

    4. Robust Deep Transfer Models for Fruit and Vegetable Classification: A Step Towards a Sustainable Dietary

      • Nour Eldeen M. Khalifa, Mohamed Hamed N. Taha, Mourad Raafat Mouhamed, Aboul Ella Hassanien
      Pages 31-44

    5. The Role of Artificial Neuron Networks in Intelligent Agriculture (Case Study: Greenhouse)

      • Abdelkader Hadidi, Djamel Saba, Youcef Sahli
      Pages 45-67

  3. Artificial Intelligence in Smart Health Care

    1. Front Matter

      Pages 69-69
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    2. Artificial Intelligence Based Multinational Corporate Model for EHR Interoperability on an E-Health Platform

      • Anjum Razzaque, Allam Hamdan
      Pages 71-81

    3. Predicting COVID19 Spread in Saudi Arabia Using Artificial Intelligence Techniques—Proposing a Shift Towards a Sustainable Healthcare Approach

      • Anandhavalli Muniasamy, Roheet Bhatnagar, Gauthaman Karunakaran
      Pages 83-98

  4. Machine Learning and Deep Learning Applications

    1. Front Matter

      Pages 99-99
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    2. A Comprehensive Study of Deep Neural Networks for Unsupervised Deep Learning

      • Deepti Deshwal, Pardeep Sangwan
      Pages 101-126

    3. An Overview of Deep Learning Techniques for Biometric Systems

      • Soad M. Almabdy, Lamiaa A. Elrefaei
      Pages 127-170

    4. Convolution of Images Using Deep Neural Networks in the Recognition of Footage Objects

      • Varlamova Lyudmila Petrovna
      Pages 171-191

    5. A Machine Learning-Based Framework for Efficient LTE Downlink Throughput

      • Nihal H. Mohammed, Heba Nashaat, Salah M. Abdel-Mageid, Rawia Y. Rizk
      Pages 193-218

    6. Artificial Intelligence and Blockchain for Transparency in Governance

      • Mohammed AlShamsi, Said A. Salloum, Muhammad Alshurideh, Sherief Abdallah
      Pages 219-230

    7. Artificial Intelligence Models in Power System Analysis

      • Hana Yousuf, Asma Y. Zainal, Muhammad Alshurideh, Said A. Salloum
      Pages 231-242

  5. Smart Networking Applications

    1. Front Matter

      Pages 243-243
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    2. Internet of Things for Water Quality Monitoring and Assessment: A Comprehensive Review

      • Joshua O. Ighalo, Adewale George Adeniyi, Goncalo Marques
      Pages 245-259

    3. Contribution to the Realization of a Smart and Sustainable Home

      • Djamel Saba, Youcef Sahli, Rachid Maouedj, Abdelkader Hadidi, Miloud Ben Medjahed
      Pages 261-290

    4. Appliance Scheduling Towards Energy Management in IoT Networks Using Bacteria Foraging Optimization (BFO) Algorithm

      • Arome Junior Gabriel
      Pages 291-311
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Keywords

About this book

This book highlights the latest advances in the field of artificial intelligence and related technologies, with a special focus on sustainable development and environmentally friendly artificial intelligence applications. Discussing theory, applications and research, it covers all aspects of artificial intelligence in the context of sustainable development. 

Editors and Affiliations

  • Information Technology Department, Faculty of Computers and Information, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  • Department of Computer Science and Engineering, Faculty of Engineering, Manipal University, Jaipur, India

    Roheet Bhatnagar

  • Faculty of Science, Helwan University, Cairo, Egypt

    Ashraf Darwish

Bibliographic Information

  • Book Title: Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications

  • Editors: Aboul Ella Hassanien, Roheet Bhatnagar, Ashraf Darwish

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-030-51920-9

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

  • Hardcover ISBN: 978-3-030-51919-3Published: 01 September 2020

  • Softcover ISBN: 978-3-030-51922-3Published: 01 September 2021

  • eBook ISBN: 978-3-030-51920-9Published: 31 August 2020

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: VIII, 311

  • Number of Illustrations: 23 b/w illustrations, 92 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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