Intelligent Data-Centric Systems: Sensor Collected Intelligence

Aim & scope

Topical coverage includes but is not limited to:

• Smart Sensors Collective Intelligence

• Ambient Intelligent Systems

• Computing with Smart Devices

• Cyber Physical Systems

• IOT Systems and Mobile Computing

• Massive Data Processing and Analysis

• Social Sensing Data

• Wireless Sensor Networks and Data Fusion Techniques

• Data Analytics

• Applications: Surveillance Tracking Systems, Disaster Management, Medical Systems, Transportation, Business Intelligence, Environmental Monitoring Systems, eLearning and Virtual Campuses, Smart Grids and Energy Efficiency Systems, etc.

Features:

• Provides the latest information on significant research findings and developments in these fields

• Provides coverage of research topics and development from various perspectives and needs

• Offers timely coverage of emerging topics and discussion of future trends

New Volume Proposals:

• Volumes can be Edited, Multi-Authored, or Authored Monographs

• New volume proposals should:

  • Include a well-structured Table of Contents

  • Be innovative, including original features, and any overlaps with published titles in the IDCS Series should be explained

  • Include a list of confirmed or tentative, geographically distributed, authors (for Edited volumes)

• Conference and workshop organizers are encouraged to present their book proposals, at the *post-conference* stage, including a complete list of chapter titles and authors. Chapters must be significantly expanded from original conference papers and meet the above criteria.

• Ask the Series Editor or Publisher for a New Proposal Form, Guidelines for Book Preparation, and/or Sample Chapter Template

Indexing: All published volumes in this book series are submitted for indexing in:

• Scopus

• EI Indexing / Compendex

• Book Citation Index

Audience

Graduate students, researchers, and professionals interested in the area of smart sensors and collected sensor data intelligence

Publish a book with Elsevier

• Information for Authors

• Propose a book opens in new tab/window

• Contact an Acquisitions Editor

Regional Editorial Board Members

Prof. Massimo Ficco, Department of Computer Science, University of Salerno, Fisciano (SA), Italy

Areas of Expertise: Reliability and security of critical IoT-based systems, TinyML, secure distributed machine learning for resource-constrained smart devices.

Prof. Rolando Herrero, Smart Everything Innovation Lab (SEIL), College of Engineering, Northeastern University, Boston, United States

Areas of Expertise: Cyber-Physical Systems, Physical AI, IoT Protocols, Mist Computing, Industry x.0, Future Manufacturing, Smart Energy

Prof. Pardeep Kumar, Department of Computer Science & Engineering, Jaypee University of Information Technology, Solan, Himachal Pradesh, India

Areas of Expertise: Machine & Deep Learning Optimized Internet of Things (IOT) Solutions to Real Life Complex Problems; Block Chain, Internet of Things, Data Science and Artificial Intelligence for Smart Cities including AI driven Health & Medical Informatics, Big Data Analytics

Series Volumes

• Pervasive Computing opens in new tab/window

• Smart Sensors Networks opens in new tab/window

• Adaptive Mobile Computing opens in new tab/window

• Security and Resilience in Intelligent Data-Centric Systems and Communication Networks opens in new tab/window

• Intelligent Data Sensing and Processing for Health and Well-being Applications opens in new tab/window

• Geographical and Fingerprinting Data for Positioning and Navigation Systems opens in new tab/window