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Machine Intelligence and Data Analytics for Sustainable Future Smart Cities

  • Book
  • © 2021

Overview

Editors:
  1. Uttam Ghosh

    1. Department of EECS, Vanderbilt University, Nashville, USA

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  2. Yassine Maleh

    1. ENSAK, Sultan Moulay Slimane University, Beni-Mellal, Morocco

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  3. Mamoun Alazab

    1. Charles Darwin University, Darwin, Australia

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  4. Al-Sakib Khan Pathan

    1. Department of Computer Science and Engineering, Independent University, Dhaka, Bangladesh

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  • Presents the latest discoveries in the field of machine intelligence and data analytics techniques and methods for sustainable future smart cities
  • Proposes high-quality and original research on sustainable computing for smart cities research including emerging trends and technologies
  • Offers a rigorous introduction to how machine intelligence and data analytics can change the way smart cities operate in various fields
  • Promotes the scientific dialogue for the determinants and the impact of computational intelligence techniques to smart cities research

Part of the book series: Studies in Computational Intelligence (SCI, volume 971)

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Table of contents (21 chapters)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Data Quality Evaluation, Outlier Detection and Missing Data Imputation Methods for IoT in Smart Cities

    • Vera Van Zoest, Xiuming Liu, Edith Ngai
    Pages 1-18

  3. Comparison of the Bias and Weighting of Variables in Neural Networks (ANN) for the Selection of the Type of Housing in Spain and Mexico

    • Julio Arreola, Damián Gibaja, J. Agustín Franco, Marcelo Sánchez-Oro
    Pages 19-34

  4. Artificial Olfaction for Detection and Classification of Gases Using e-Nose and Machine Learning for Industrial Application

    • R. Manjula, B. Narasamma, G. Shruthi, K. Nagarathna, Girish Kumar
    Pages 35-48

  5. Role of Machine Learning in Weather Related Event Predictions for a Smart City

    • Muhammad Azmi Umer, Muhammad Taha Jilani, Khurum Nazir Junejo, Sulaman Ahmad Naz, Conrad Walter D’Silva
    Pages 49-63

  6. Intelligent Vehicle Communications Technology for the Development of Smart Cities

    • Abdelali Touil, Fattehallah Ghadi, Khalid El Makkaoui
    Pages 65-84

  7. Applying Mobile-Based Community Participation Model in Smart Cities

    • Prafulla Parlewar
    Pages 85-105

  8. Improving KNN Model for Direct Marketing Prediction in Smart Cities

    • Stéphane Cédric Tékouabou Koumétio, Hamza Toulni
    Pages 107-118

  9. Prediction of Satisfaction with Life Scale Using Linguistic Features from Facebook Status Updates: Smart Life

    • Ferda Özdemir Sönmez, Yassine Maleh
    Pages 119-144

  10. Digital Transformation to Build Smart Cities

    • Nasser Al Marzouqi, Cristina Bueti, Mythili Menon
    Pages 145-169

  11. Applying IoT and Data Analytics to Thermal Comfort: A Review

    • Maysaa Khalil, Moez Esseghir, Leila Merghem-Boulahia
    Pages 171-198

  12. Rapid IoT Prototyping

    • Della Krachai Mohamed, Melouk Kheira
    Pages 199-214

  13. Prototype of a BCI-Based Autonomous Communicating Robot for Disability Assessment

    • Amin Zammouri, Soufian Zerouali
    Pages 215-227

  14. Fuzzy Dynamic Airspace Sectorization Problem

    • Gabli Mohammed, Mermri El Bekkaye
    Pages 229-250

  15. Virtualization Technology for LoRaWAN Roaming Simulation in Smart Cities

    • Francesco Flammini, Andrea Gaglione, Dániel Tokody, Dalibor Dobrilović
    Pages 251-265

  16. Computational Intelligence for Automatic Object Recognition for Vision Systems

    • Belhedi Wiem, Hireche Chabha, Kammoun Ahmed
    Pages 267-285

  17. Development of an IoT Based Systems to Mitigate the Impact of COVID-19 Pandemic in Smart Cities

    • H. M. K. K. M. B. Herath, G. M. K. B. Karunasena, H. M. W. T. Herath
    Pages 287-309

  18. Big Health Data: Cardiovascular Disease Prevention Using Big Data and Machine Learning

    • Salma Lbrini, Abdelhamid Fadil, Zakaria Aamir, Mohamed Khomali, Hassane Jarar Oulidi, Hassan Rhinane
    Pages 311-327

  19. Artificial Intelligence Techniques in Smart Cities Surveillance Using UAVs: A Survey

    • Narina Thakur, Preeti Nagrath, Rachna Jain, Dharmender Saini, Nitika Sharma, D. Jude Hemanth
    Pages 329-353

  20. Machine Learning Based Cybersecurity Defense at the Age of Industry 4.0

    • Sourabh Kumar Vishavnath, Adnan Anwar, Mohiuddin Ahmed
    Pages 355-368
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Keywords

About this book

This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on computational intelligence and data analytics to bring together the smart city and sustainable city endeavors. It also discusses new models, practical solutions and technological advances related to the development and the transformation of cities through machine intelligence and big data models and techniques. This book is helpful for students and researchers as well as practitioners.


Editors and Affiliations

  • Department of EECS, Vanderbilt University, Nashville, USA

    Uttam Ghosh

  • ENSAK, Sultan Moulay Slimane University, Beni-Mellal, Morocco

    Yassine Maleh

  • Charles Darwin University, Darwin, Australia

    Mamoun Alazab

  • Department of Computer Science and Engineering, Independent University, Dhaka, Bangladesh

    Al-Sakib Khan Pathan

Bibliographic Information

  • Book Title: Machine Intelligence and Data Analytics for Sustainable Future Smart Cities

  • Editors: Uttam Ghosh, Yassine Maleh, Mamoun Alazab, Al-Sakib Khan Pathan

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-030-72065-0

  • 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: 978-3-030-72064-3Published: 01 June 2021

  • Softcover ISBN: 978-3-030-72067-4Published: 02 June 2022

  • eBook ISBN: 978-3-030-72065-0Published: 31 May 2021

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XI, 411

  • Number of Illustrations: 56 b/w illustrations, 122 illustrations in colour

  • Topics: Computational Intelligence, Machine Learning, Cyber-physical systems, IoT

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