Special Issue Information Special Issue Call for Paper Other Special Issues on this journal Closed Special Issues
Neural Computing Challenges and Applications for Industry 4.0

Neural Computing Challenges and Applications for Industry 4.0

Journal
Impact Score 5.45

OFFICIAL WEBSITE

Special Issue Information

Submission Deadline: 01-05-2021
Journal Impact Score: 5.45
Journal Name: Neural Computing and Applications
Publisher: Neural Computing and Applications
Journal & Submission Website: https://www.springer.com/journal/521

Special Issue Call for Papers

In today's world, there are unprecedented changes in various industries, mainly characterized by progressive digital transformation, the creation of the connection networks between products, value chains and business models. These activities take place within the fourth industrial revolution, called "Industry 4.0". The new technologies, in particular: Digitization and computerization of production processes and market processes, drive Industry 4.0 but the need to build a competitive advantage remains the real foundation of ongoing change. Today, this advantage is primarily created by the unprecedented flexibility of business. The central issue in Economy 4.0 is to understand the impact of robotization and artificial intelligence on industry and the economy, and to adapt business models to increasingly-demanding customers. The active role of the state as a creator and regulator of innovation is also indispensable.

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 topical collection is to integrate cutting edge research from the fields of machine learning and 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. We will welcome papers that, inter alia, refer to (but are not limited to) themes such as:

Guest Editors

Haibo Liang, Professor, Southwest Petroleum University, China, [email protected] (Lead Guest Editor)

Weidong Liu, Associate Professor, Inner Mongolia University, China, [email protected]

Important Dates

Manuscript Due:            May 1, 2021First Round of Reviews: July 1, 2021Final Decision:               July 30, 2021

Peer Review Process

All the papers will go through peer review,  and will be reviewed by at least three reviewers. A thorough check will be completed, and the guest editors will check any significant similarity between the manuscript under consideration and any published paper or submitted manuscripts of which they are aware. In such case, the article will be directly rejected without proceeding further. Guest editors will make all reasonable effort to receive the reviewer’s comments and recommendation on time.

The submitted papers must provide original research that has not been published nor currently under review by other venues. Previously published conference papers should be clearly identified by the authors at the submission stage and an explanation should be provided about how such papers have been extended to be considered for this special issue (with at least 30% difference from the original works).

Submission Guidelines

Paper submissions for the special issue should strictly follow the submission format and guidelines (https://www.springer.com/journal/521/submission-guidelines). Each manuscript should not exceed 16 pages in length (inclusive of figures and tables).

Manuscripts must be submitted to the journal online system at https://www.editorialmanager.com/ncaa/default.aspx.Authors should select “TC: NC for Industry 4.0” during the submission step ‘Additional Information’.

Closed Special Issues

Publisher
Journal Details
Closing date
G2R Score
Cybersecurity Applications of  Computational Intelligence

Cybersecurity Applications of Computational Intelligence

Neural Computing and Applications
Closing date: 01-10-2021 G2R Score: 5.45
Topical Collection on Emerging Trends in Artificial Intelligence and Machine Learning

Topical Collection on Emerging Trends in Artificial Intelligence and Machine Learning

Neural Computing and Applications
Closing date: 20-09-2021 G2R Score: 5.45
Topical Collection on IoT-based Health Monitoring System to handle Pandemic Diseases using Estimated Computing

Topical Collection on IoT-based Health Monitoring System to handle Pandemic Diseases using Estimated Computing

Neural Computing and Applications
Closing date: 30-07-2021 G2R Score: 5.45
Large Scale Neural Computing & Cybersecurity Opportunities Using Artificial Intelligence

Large Scale Neural Computing & Cybersecurity Opportunities Using Artificial Intelligence

Neural Computing and Applications
Closing date: 20-06-2021 G2R Score: 5.45
Topical Collection on Advances of Neural Computing phasing challenges in the era of 4th industrial revolution

Topical Collection on Advances of Neural Computing phasing challenges in the era of 4th industrial revolution

Neural Computing and Applications
Closing date: 20-06-2021 G2R Score: 5.45
Neural Computing Challenges and Applications for Industry 4.0

Neural Computing Challenges and Applications for Industry 4.0

Neural Computing and Applications
Closing date: 01-05-2021 G2R Score: 5.45
Topical Collection on Neural Computing for IOT based Intelligent Healthcare Systems

Topical Collection on Neural Computing for IOT based Intelligent Healthcare Systems

Neural Computing and Applications
Closing date: 30-04-2021 G2R Score: 5.45
Topical Collection on Cognitive-inspired Computing and Applications

Topical Collection on Cognitive-inspired Computing and Applications

Neural Computing and Applications
Closing date: 28-02-2021 G2R Score: 5.45
Topical Collection on Machine Learning for Big Data Analytics in Smart Healthcare Systems

Topical Collection on Machine Learning for Big Data Analytics in Smart Healthcare Systems

Neural Computing and Applications
Closing date: 15-02-2021 G2R Score: 5.45
Data Fusion in the era of Data Science: From Big Data to Even Bigger

Data Fusion in the era of Data Science: From Big Data to Even Bigger

Neural Computing and Applications
Closing date: 31-12-2020 G2R Score: 5.45
Topical Collection on Fuzzy inference, neuro-fuzzy, and emerging fuzzy hybridization systems

Topical Collection on Fuzzy inference, neuro-fuzzy, and emerging fuzzy hybridization systems

Neural Computing and Applications
Closing date: 31-12-2020 G2R Score: 5.45
Topical Collection on Effective and Efficient Deep Learning based Solutions

Topical Collection on Effective and Efficient Deep Learning based Solutions

Neural Computing and Applications
Closing date: 31-12-2020 G2R Score: 5.45
Topical Collection on Machine Learning for Security and Privacy: Advancing the state-of-the-art applications

Topical Collection on Machine Learning for Security and Privacy: Advancing the state-of-the-art applications

Neural Computing and Applications
Closing date: 31-12-2020 G2R Score: 5.45
Topical Collection on Human-in-the-loop Machine Learning and its Applications

Topical Collection on Human-in-the-loop Machine Learning and its Applications

Neural Computing and Applications
Closing date: 31-12-2020 G2R Score: 5.45
Topical Collection on LatinX in AI Research

Topical Collection on LatinX in AI Research

Neural Computing and Applications
Closing date: 31-12-2020 G2R Score: 5.45
Topical Collection on Multi-modal Information Learning and Analytics on Big Data

Topical Collection on Multi-modal Information Learning and Analytics on Big Data

Neural Computing and Applications
Closing date: 30-12-2020 G2R Score: 5.45
Topical Collection on Computational Intelligence-based Control and Estimation in Mechatronic Systems

Topical Collection on Computational Intelligence-based Control and Estimation in Mechatronic Systems

Neural Computing and Applications
Closing date: 15-12-2020 G2R Score: 5.45
Topical Collection on Deep Understanding of Big Geo-Social Data for Autonomous Vehicles

Topical Collection on Deep Understanding of Big Geo-Social Data for Autonomous Vehicles

Neural Computing and Applications
Closing date: 31-10-2020 G2R Score: 5.45
Topical Collection on New Trends in Bio-Inspired Computing for Deep Learning Applications

Topical Collection on New Trends in Bio-Inspired Computing for Deep Learning Applications

Neural Computing and Applications
Closing date: 30-10-2020 G2R Score: 5.45
Topical Collection in Neural Computing and Applications in Computer Vision and Image Processing (NCACVIP)

Topical Collection in Neural Computing and Applications in Computer Vision and Image Processing (NCACVIP)

Neural Computing and Applications
Closing date: 30-10-2020 G2R Score: 5.45
Topical Collection on ‘Babel Fish’ for Feature-driven Machine Learning: From Financial Services to Healthcare

Topical Collection on ‘Babel Fish’ for Feature-driven Machine Learning: From Financial Services to Healthcare

Neural Computing and Applications
Closing date: 28-10-2020 G2R Score: 5.45
Topical Collection on Deep Neuro-Fuzzy Analytics for Intelligent Big Data Processing in Smart Ecosystems

Topical Collection on Deep Neuro-Fuzzy Analytics for Intelligent Big Data Processing in Smart Ecosystems

Neural Computing and Applications
Closing date: 20-10-2020 G2R Score: 5.45
Topical Collection on New Trends of Neural Computing for Advanced Applications

Topical Collection on New Trends of Neural Computing for Advanced Applications

Neural Computing and Applications
Closing date: 30-09-2020 G2R Score: 5.45
Deep Learning for Biomedical and Healthcare Applications

Deep Learning for Biomedical and Healthcare Applications

Neural Computing and Applications
Closing date: 15-10-2017 G2R Score: 5.45
New Trends in data pre-processing methods for signal and image classification

New Trends in data pre-processing methods for signal and image classification

Neural Computing and Applications
Closing date: 30-09-2016 G2R Score: 5.45