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Computational Intelligence in IoTs

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (31 October 2021) | Viewed by 717

Special Issue Editors


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Guest Editor
Department of Ecomy and Law, Unitelma Sapienza University of Rome, 00185 Rome, Italy
Interests: data mining; process mining; business process management; model driven development

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Guest Editor
Department of Engineering, University of Sannio, 82100 Benevento, Italy
Interests: Software Engineering; Software Quality; Data Mining; Computational Intelligence;

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Guest Editor
Department of Informatics, University of Bari Aldo Moro, 70125 Bari, Italy
Interests: Software Engineering; Object-Oriented programming; Computing Education;

Special Issue Information

Dear Colleagues,

The use of the Internet of Things (IoT) and related technologies across different application domains has significantly increased in the last decade. Ever-more complex and heterogeneous smart IoT environments are currently available and generate an enormous amount of data, thus calling for appropriate "tools" to effectively process and exploit such abundancy of information.  In this light, the research community in data mining and computational intelligence is responding with "intelligent" solutions, allowing developers and practitioners for the analysis of large volumes of both structured and unstructured data. Indeed, recent advances in such fields make it possible to detect in non-obvious patterns hidden in multivariate time series, images and all possible data gathered from complex IoT ecosystems.

This Special Issue aims to foster novel contributions in this subject area and collect the state-of-the-art of all methods based on computational intelligence and data mining for the IoT and its applications.

Relevant topics of interest include, but are not limited to:
• Big Data for the IoT
• Cloud Computing for the IoT
• Data Mining for the IoT and Edge Computing
• Deep Neural Network for Prediction and Classification of IoT Data
• IoT in Smart Home and Smart City
• IoT in Energy Management
• Industry 4.0 and IoT
• IoT in Agriculture and Environment
• IoT in eHealth and Ambient Assisted Living
• Internet of Vehicles
• Machine and Deep Learning for the IoT
• Metaheuristic Algorithms for the IoT
• Mobile Computing and Sensing for the IoT
• Security for the IoT
• Privacy Protection for the IoT

Dr. Marta Cimitile
Dr. Mario Luca Bernardi
Dr. Pasquale Ardimento
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers

There is no accepted submissions to this special issue at this moment.
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