Special Issue "Applied ML for Industrial IoT"

A special issue of Computers (ISSN 2073-431X). This special issue belongs to the section "Cloud Continuum and Enabled Applications".

Deadline for manuscript submissions: 1 September 2023 | Viewed by 221

Special Issue Editors

Dr. Muhammad Syafrudin
E-Mail Website
Guest Editor
Department of Artificial Intelligence, Sejong University, Seoul, Korea
Interests: machine learning; artificial intelligence; information system; IoT; health informatics
Special Issues, Collections and Topics in MDPI journals
Dr. Ganjar Alfian
E-Mail Website
Guest Editor
Department of Electrical Engineering and Informatics, Vocational College, Universitas Gadjah Mada, Yogyakarta, Indonesia
Interests: machine learning; artificial intelligence; information system; IoT; health informatics
Special Issues, Collections and Topics in MDPI journals
Dr. Norma Latif Fitriyani
E-Mail Website
Guest Editor
Department of Data Science, Sejong University, Seoul, Korea
Interests: data mining and analysis; machine learning; image processing; artificial intelligence; health informatics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Machine learning techniques are providing the industry with a potential solution to help develop Internet of Things (IoT) systems and accelerate innovation. The Open IoT cloud platform provides a framework for developing large-scale IoT applications that rely on data collected from a complex network of sensors and smart devices. There are numerous challenges ahead when putting such a framework in place, one of which is meeting the IoT data and services (quality of service (QoS)) requirements for industrial informatics-based applications in terms of energy efficiency, sensing data quality, network resource consumption, and latency.

The three key components of the new era of machine learning convergence (supervised, unsupervised, and reinforcement learning), with reference to IoT data and service quality for industrial applications, are (a) intelligent devices, (b) intelligent systems, and (c) end-to-end analytics. To deliver more computerized IoT data and services, this Special Issue combines machine learning approaches with sophisticated data analytics optimization prospects. Anomaly detection, a multivariate analysis, streaming, and data visualization are just a few of the IoT difficulties that machine learning algorithms have solved.

In fact, recent research on industrial informatics has addressed the inherent power of fusion between machine learning algorithms and IoT applications. It can provide efficient solutions for the machine comprehension of structured or semi-structured data and optimization problems, particularly those involving incomplete or inconsistent data and low computational capabilities, as well as the Internet of Things (IoT). This Special Issue will cover machine learning approaches as well as theoretical studies and new breakthroughs in various IoT data, services, and applications.

Dr. Muhammad Syafrudin
Dr. Ganjar Alfian
Dr. Norma Latif Fitriyani
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. Computers is an international peer-reviewed open access monthly 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 1600 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.

Keywords

  • industrial IoT
  • machine learning for IoT
  • time-series data and analysis
  • intelligent systems
  • industrial informatics
  • anomaly detection
  • fault detections
  • edge computing
  • multivariate analysis
  • data visualization
  • application of iot and machine learning in industry

Published Papers

This special issue is now open for submission.
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