Deep Learning for Predictive Modeling in Large-Scale Systems

A special issue of Machine Learning and Knowledge Extraction (ISSN 2504-4990).

Deadline for manuscript submissions: closed (30 September 2023)

Special Issue Editors

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Guest Editor
Department of Computer Science, San Jose State University, San Jose, CA 95112, USA
Interests: machine learning; big data analytics; computational intelligence; natural computing; cyber physical systems; reliability

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Guest Editor
Department of Computer Science and Engineering, Jalpaiguri Government Engineering College, Jalpaiguri 735102, India
Interests: deep learning; computer vision

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Guest Editor
School of Mathematics, Thapar Institute of Engineering & Technology (Deemed University), Patiala 147004, Punjab, India
Interests: expert systems; aggregation operators; reliability & maintenance analysis; computational intelligence; multi-criteria decision making problems; optimization techniques; nature inspired algorithms; intuitionistic fuzzy set theory
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Special Issue Information

Dear Colleagues,

This Special Issue solicits high-quality articles in the broad domain of predictive modeling using deep learning approaches. Topics of interest include but are not limited to:

 (a)  Anomaly Detection;
 (b)  Cyber–physical Systems;
 (c)  Time-Series Analysis;
 (d)  Cybersecurity;
 (e)  Reliability Engineering;
 (f)   Adversarial Learning;
 (g)  Explainable Models;
 (h)  Natural Language Processing;
 (i)   High-performance Computing.

The papers submitted should be sufficiently technical in nature and contain references to recent literature that has extended the state of the art. Incomplete submissions will be returned without review.

Dr. Saptarshi Sengupta
Dr. Swalpa Kumar Roy
Dr. Harish Garg
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at 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. Machine Learning and Knowledge Extraction is an international peer-reviewed open access quarterly 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 1800 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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