About this book series

The book series Studies in Autonomic, Data-driven and Industrial Computing (SADIC) aims at bringing together valuable and novel scientific contributions that address new theories and their real world applications related to autonomic, data-driven, and industrial computing.  The area of research covered in the series includes theory and applications of parallel computing, cyber trust and security, grid computing, optical computing, distributed sensor networks, bioinformatics, fuzzy computing and uncertainty quantification, neurocomputing and deep learning, smart grids, data-driven power engineering, smart home informatics, machine learning, mobile computing, internet of things, privacy preserving computation, big data analytics, cloud computing, blockchain and edge computing, data-driven green computing, symbolic computing, swarm intelligence and  evolutionary computing, intelligent systems for industry 4.0, as well as other pertinent methods for autonomic, data-driven, and industrial computing.
 
The series will publish monographs, edited volumes, textbooks and proceedings of important conferences, symposia and meetings in the field of autonomic, data-driven and industrial computing.
Electronic ISSN
2730-6445
Print ISSN
2730-6437
Series Editor
  • Swagatam Das,
  • Jagdish Chand Bansal

Book titles in this series

  1. Data Science and Communication

    Proceedings of ICTDsC 2023

    Editors:
    • João Manuel R. S. Tavares
    • Joel J. P. C. Rodrigues
    • Debajyoti Misra
    • Debasmriti Bhattacherjee
    • Copyright: 2024

    Available Renditions

    • Hard cover
    • eBook