posted by organizer: vrodriguezf || 5554 views || tracked by 4 users: [display]

MLCAI4-EXSY 2021 : Special issue on Machine Learning Challenges and Applications for Industry 4.0 - Expert Systems (IF: 1.546)

FacebookTwitterLinkedInGoogle

Link: https://onlinelibrary.wiley.com/doi/full/10.1111/exsy.12595
 
When N/A
Where N/A
Submission Deadline Dec 31, 2020
Notification Due Apr 15, 2021
Final Version Due Sep 15, 2021
Categories    machine learning   industry 4.0   deep learning   artificial intelligence
 

Call For Papers

Call for papers (Special Issue) 


Expert Systems
Impact Factor: 1.546
 
https://onlinelibrary.wiley.com/journal/14680394


Editor-in-Chief: Jon G. Hall


Special Issue on "Machine Learning challenges and applications for Industry 4.0"


Guest Editors: 
Dr. Victor Rodriguez-Fernandez (Corresponding Guest Editor)
Prof. David Camacho


1. Overview


Industry is undergoing the so-called “fourth revolution” with a trend towards fully automated cyber-physical systems (CPS) and an augmented data exchange provided by the internet of things (IoT). This revolution is highly correlated and supported by an increasing adoption of machine learning techniques that allow, on the one hand, to generate valuable predictions for the daily work in smart factories, and on the other hand, to help the operators make the right decisions, or even to take decisions on their own.


While research in machine learning is rapidly evolving, the transfer to industry is still slow. To overcome this issue, researchers and factories must work together to get the most of both sides. This way, industries can add value to their data and processes, and researchers can study ways of facilitating the application of theoretical results to real world scenarios.


The aim of this special issue is to integrate cutting edge research from the fields of machine learning & deep learning into industrial production and manufacturing processes, to leverage their technological transformation towards the new era of smart factories. We cordially invite researchers to contribute original research papers that report novel systems, applications, as well as survey papers that review the novel technologies and new trends on the intersection between these two areas. A strong focus should be on applicability and transferability, so that the interested readers should find it easy to reproduce and replicate the published results of the paper into their own use industrial cases.


Topics appropriate for this Special Issue include, but are not necessarily limited to:


* Anomaly detection for CPSs and IoT.
* Machine learning-based decision support systems for CPSs and IoT 
* Complex Event Processing supported by machine learning.
* Representation learning for industrial data streams.
* Process mining supported by machine learning.
* Clustering and classification of industrial data streams or time series.
* Data mining and knowledge discovery in real world databases from an industry.
* Modelling industrial data streams through Probabilistic Graphical Models.
* Forecasting industrial data streams.
* Industrial ML-based Applications for IoT


B. Important Dates


* Submission deadline: December 31th, 2020
* Pre-screening notification: January 15th, 2021
* First round notification: April 15th, 2021
* Revision due: June 15th, 2021
* Final notification: July 15th, 2021
* Final Manuscript due: September 15th, 2021
* Tentative publication date: October 15th, 2021


Instructions for Manuscripts:


Submitted papers must be unpublished and not submitted anywhere else for publication. If a shorter version of the paper has been accepted or published in a conference, then the submission must contain at least 80% new material as compared to the conference publication this must be mentioned when submitting the paper, as well as the name of the conference and the title of publication. 


The EXSYS-MLI4.0 Special Issue will be based on submissions attracted by:


A) Open call, which commits with previous conditions.
B) Invitation of selected papers that were accepted and presented at: PPSN (https://ppsn2020.liacs.leidenuniv.nl/workshops/), IDEAL 2020 conference and their joint workshops (http://islab.di.uminho.pt/ideal2020/), IDC 2020 (http://www.idc2020.unirc.it/), or MAEB-CAEPIA (https://caepia2020.uma.es/maeb.html?lang=en). These submissions must differ at least 80% from the initial versions published in the conference proceedings.





Guest Editors 


Victor Rodriguez-Fernandez (Lead guest editor)
Computer Systems Engineering Department
Universidad Politécnica de Madrid, Spain
Email: victor.rfernandez@uam.es


    David Camacho
Computer Systems Engineering Department
Universidad Politécnica de Madrid, Spain
Email: david.camacho@upm.es

Related Resources

Federated Learning in IOT Cybersecurity 2021   PeerJ Computer Science - Federated Learning for Cybersecurity in Internet of Things
IEEE COINS 2022   IEEE COINS 2022: Hybrid (3 days on-site | 2 days virtual)
IJCAI 2022   31st International Joint Conference on Artificial Intelligence
FAIML 2022   2022 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2022)
FIEE 2022   MDPI Education Sciences Journal - Future Intelligent Educational Environments: Innovations, Challenges and Applications -- Scopus 2022
MDPI computers 2022   MDPI computers Special Issue on GPU based Applications in Machine Learning - Open for submission
ACM--ICMLT--Ei and Scopus 2022   ACM--2022 7th International Conference on Machine Learning Technologies (ICMLT 2022)--Ei Compendex, Scopus
ABDAI 2022   2022 4th International Conference on Applications of Big Data and Artificial Intelligence(ABDAI 2022)
IEEE COINS 2022   Internet of Things IoT | Artificial Intelligence | Machine Learning | Big Data | Blockchain | Edge & Cloud Computing | Security | Embedded Systems |
ICML 2022   39th International Conference on Machine Learning