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    CFCS 2121 - Advances of Deep Learning in Smart Cities and Industry 4.0

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    Category Artificial Intelligence; Convolution Neural Network; Optimization; Smart Cities; Industry 4.0

    Deadline: June 21, 2021 | Date: July 21, 2121-July 22, 2121

    Venue/Country: Malaysia

    Updated: 2021-06-07 00:48:39 (GMT+9)

    Call For Papers - CFP


    Book Title: Advances of Deep Learning in Smart Cities and Industry 4.0

    Publisher: Cambridge Scholars Publishing

    Full Chapter Submission: 21st June, 2021


     Prof. Dr. Vasiliki Geropanta, Technical University of Crete, Greece

     Prof. Dr. Gerhard-Wilhelm Weber, Poznan University of Technology, Poland

     Dr. Joshua Thomas, UOW Malaysia; KDU Penang University College, Malaysia

     Dr. Pandian Vasant, MERLIN Research Centre, TDTU, Vietnam


    Advances of Deep Learning in Smart Cities and Industry 4.0 is a collection of innovative research on the methods and applications of deep learning strategies in the fields of business, economics, finance, science and engineering. While highlighting topics including data hybridization, computational modeling, and artificial intelligence, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and policy makers seeking current research on deep learning methods and its application in the smart technology industry.

    Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there’s a need for research on the various applications and techniques of deep learning in the fields of artificial intelligence and machine learning.

    The readers across the globe are looking for wonderful material in order to provide the researchers the sufficient training of cutting-edge computation and intelligent deep learning optimization techniques to solve the complicated real world current problems. Compared with the other books, this book has a good combination of the theory introduction of advance meta-heuristics algorithm and hands-on artificial intelligence and machine learning projects. The selected demonstration problems are the hot topics in the smart cities and industry 4.0 fields. Therefore, it will become a good reference book for the young and new research scholars across the globe.

    The suggested book will include the state of the art considering a number of evolutions in the domain never published before: The evolution of user-system interaction in relation to Automation, Machine Learning and Artificial Intelligence from a human perspective and the role of these technologies in the post COVID period.

    Recommended topics include, but are not limited to, the following:

    Machine Learning and IoT

    AI simulation design for IoT devices in Smart Applications

    Autonomous Systems for Industrial Informatics Applications

    Computer and Machine Interface in Smart Cities Applications

    Cognitive Computing and Data Analytics Techniques for Smart Cities

    Deep Learning for Unstructured Data (text, images, audio, video) generated by Smart Cities Applications

    New Machine Learning Algorithms for Smart Cities

    IoT for City Development, intelligent districts

    Intelligent Vehicles and its navigation for smart environments

    Theoretical Progress of New Deep Learning Algorithms for Smart Cities

    Semantic Models for Industrial Applications in Smart Cities

    Target Audience

    Policy makers, chief executive officers, governmental staff, academicians, research officers, post-graduates, scientist, educationist, industrialist, business leaders, entrepreneurs, engineers, city planners and decision-makers.

    Submission Procedure

    Authors are invited to submit the full chapter on or before 10th March 2021. Authors will be notified by 15th April 2021 about the status of their full chapters. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

    Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Advances of Deep Learning in Smart Cities and Industry 4.0. All manuscripts are accepted based on a double-blind peer review editorial process.

    Guidelines for Book Chapters

    Full chapters of 10000 to 12000 words are expected to be submitted and all authors must consult guidelines for manuscript submission at

    Submission can be done online using following email at

    Important Dates

    21st June, 2021: Full Chapter Submission

    15th July, 2021: Review Results Returned

    22nd August, 2021: Final Acceptance Notification

    24th October, 2021: Final Chapter Submission


    Cambridge Scholars Publishing is an independent academic publisher, committed to providing a forward-thinking publishing service that champions original thinking, whilst ensuring the authors at the heart of everything.

    Founded by former lecturers and researchers from the University of Cambridge, publish original academic work across a wide range of subjects in four key areas: Humanities and Social Sciences (HSS); Health Sciences (HS); Physical Sciences (PS); and Life Sciences (LS).

    Publications are marketed worldwide and sold through international booksellers and distributors including Amazon, Blackwell, Baker & Taylor, YBP and Ingram, and are widely purchased by academic libraries. In addition, the distribution partnerships are in key geographical territories such as the USA, China, India and the Middle East.


    Editors will submit the book to all leading databases including SCOPUS and BCI (WoS/ESCI) after publication.

    Inquiries can be forwarded to

    Prof. Dr. Vasiliki Geropanta, Technical University of Crete, Greece

    Dr. J. Joshua Thomas, UOW Malaysia, KDU Penang University College,Malaysia

    Prof. Dr. Gerhard-Wilhelm Weber, Poznan University of Technology, Poland, and METU, Angkara,

    Dr. Pandian Vasant, MERLIN Research Centre, TDTU, Vietnam,

    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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