Advances in Intelligent Systems and Computing - Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry
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(FIVE YEARS 12)

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Published By Springer International Publishing

9783030693664, 9783030693671

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

TSorage: A Modern and Resilient Platform for Time Series Management at Scale

Advances in Intelligent Systems and Computing - Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry ◽

10.1007/978-3-030-69367-1_12 ◽

2021 ◽

pp. 144-150

Author(s):

Mathieu Goeminne ◽

Nico Salamone ◽

Mohamed Boukhebouze ◽

Stéphane Mouton

Keyword(s):

Time Series

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Quantifying Uncertainty in Physics-Informed Variational Autoencoders for Anomaly Detection

Advances in Intelligent Systems and Computing - Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry ◽

10.1007/978-3-030-69367-1_3 ◽

2021 ◽

pp. 28-38

Author(s):

Marcus J. Neuer

Keyword(s):

Anomaly Detection ◽

Quantifying Uncertainty

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Unsupervised Deep Learning for Detection of Non-uniform Surface Defect Distributions in Flat Steel Production

Advances in Intelligent Systems and Computing - Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry ◽

10.1007/978-3-030-69367-1_8 ◽

2021 ◽

pp. 92-103

Author(s):

Nicolas Camargo-Torres ◽

Jens Brandenburger

Keyword(s):

Deep Learning ◽

Surface Defect ◽

Steel Production ◽

Unsupervised Deep Learning ◽

Flat Steel

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AI and ML Techniques for Generation and Assessment of Products Properties Data

Advances in Intelligent Systems and Computing - Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry ◽

10.1007/978-3-030-69367-1_6 ◽

2021 ◽

pp. 67-77

Author(s):

Marco Vannucci ◽

Valentina Colla ◽

Antonio Ritacco ◽

Marco Vannocci ◽

Antonella Vignali

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Machine Learning-Based Models for Supporting Optimal Exploitation of Process Off-Gases in Integrated Steelworks

Advances in Intelligent Systems and Computing - Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry ◽

10.1007/978-3-030-69367-1_9 ◽

2021 ◽

pp. 104-118

Author(s):

Ismael Matino ◽

Stefano Dettori ◽

Angelo Castellano ◽

Ruben Matino ◽

Claudio Mocci ◽

...

Keyword(s):

Machine Learning ◽

Optimal Exploitation

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Quality 4.0 - Transparent Product Quality Supervision in the Age of Industry 4.0

Advances in Intelligent Systems and Computing - Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry ◽

10.1007/978-3-030-69367-1_5 ◽

2021 ◽

pp. 54-66

Author(s):

Jens Brandenburger ◽

Christoph Schirm ◽

Josef Melcher ◽

Edgar Hancke ◽

Marco Vannucci ◽

...

Keyword(s):

Product Quality ◽

Industry 4.0

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The Use of Advanced Data Analytics to Monitor Process-Induced Changes to the Microstructure and Mechanical Properties in Flat Steel Strip

Advances in Intelligent Systems and Computing - Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry ◽

10.1007/978-3-030-69367-1_7 ◽

2021 ◽

pp. 78-91

Author(s):

Frenk Van Den Berg ◽

Danique Fintelman ◽

Haibing Yang ◽

Claudio Mocci ◽

Marco Vannucci ◽

...

Keyword(s):

Mechanical Properties ◽

Data Analytics ◽

Steel Strip ◽

Microstructure And Mechanical Properties ◽

Flat Steel ◽

Induced Changes

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Industrial Cyber Security at the Network Edge: The BRAINE Project Approach

Advances in Intelligent Systems and Computing - Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry ◽

10.1007/978-3-030-69367-1_10 ◽

2021 ◽

pp. 119-131

Author(s):

Francesco Paolucci ◽

Pavel Burget ◽

Victor Genin ◽

Ela Kolis ◽

Gheorghe Dobra ◽

...

Keyword(s):

Cyber Security ◽

Project Approach

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Smart Steel Pipe Production Plant via Cognitive Digital Twins: A Case Study on Digitalization of Spiral Welded Pipe Machinery

Advances in Intelligent Systems and Computing - Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry ◽

10.1007/978-3-030-69367-1_11 ◽

2021 ◽

pp. 132-143

Author(s):

Özlem Albayrak ◽

Perin Ünal

Keyword(s):

Steel Pipe ◽

Pipe Production ◽

Production Plant ◽

Digital Twins ◽

Welded Pipe

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Data Pre-processing for Efficient Design of Machine Learning-Based Models to be Applied in the Steel Sector

Advances in Intelligent Systems and Computing - Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry ◽

10.1007/978-3-030-69367-1_2 ◽

2021 ◽

pp. 13-27

Author(s):

Silvia Cateni ◽

Valentina Colla ◽

Antonella Vignali ◽

Marco Vannucci

Keyword(s):

Machine Learning ◽

Efficient Design ◽

Steel Sector

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Advances in Intelligent Systems and Computing - Impact and Opportunities of Artificial Intelligence Techniques in the Steel IndustryLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

TSorage: A Modern and Resilient Platform for Time Series Management at Scale

Quantifying Uncertainty in Physics-Informed Variational Autoencoders for Anomaly Detection

Unsupervised Deep Learning for Detection of Non-uniform Surface Defect Distributions in Flat Steel Production

AI and ML Techniques for Generation and Assessment of Products Properties Data

Machine Learning-Based Models for Supporting Optimal Exploitation of Process Off-Gases in Integrated Steelworks

Quality 4.0 - Transparent Product Quality Supervision in the Age of Industry 4.0

The Use of Advanced Data Analytics to Monitor Process-Induced Changes to the Microstructure and Mechanical Properties in Flat Steel Strip

Industrial Cyber Security at the Network Edge: The BRAINE Project Approach

Smart Steel Pipe Production Plant via Cognitive Digital Twins: A Case Study on Digitalization of Spiral Welded Pipe Machinery

Data Pre-processing for Efficient Design of Machine Learning-Based Models to be Applied in the Steel Sector

Advances in Intelligent Systems and Computing - Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry
Latest Publications