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001433833 0247_ $$a10.1007/978-3-030-69367-1$$2doi
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001433833 24500 $$aImpact and opportunities of artificial intelligence techniques in the steel industry :$$bOngoing applications, perspectives and future trends /$$cValentina Colla, Costanzo Pietrosanti, editors.
001433833 264_1 $$aCham :$$bSpringer,$$c2021.
001433833 264_4 $$c©2021
001433833 300__ $$a1 online resource (xiv, 152 pages)
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001433833 4901_ $$aAdvances in Intelligent Systems and Computing ;$$vv. 1338
001433833 50500 $$tChallenges and Frontiers in Implementing Artificial Intelligence in Process Industry --$$tData Pre-processing for Efficient Design of Machine Learning-Based Models to be Applied in the Steel Sector --$$tQuantifying Uncertainty in Physics-Informed Variational Autoencoders for Anomaly Detection --$$tMapping of Standardized State Machines to Utilize Machine Learning Models in Process Control Environments --$$tQuality 4.0 -- Transparent Product Quality Supervision in the Age of Industry 4.0 --$$tAI and ML Techniques for Generation and Assessment of Products Properties Data --$$tThe Use of Advanced Data Analytics to Monitor Process-Induced Changes to the Microstructure and Mechanical Properties in Flat Steel Strip --$$tUnsupervised Deep Learning for Detection of Non-uniform Surface Defect Distributions in Flat Steel Production --$$tMachine Learning-Based Models for Supporting Optimal Exploitation of Process Off-Gases in Integrated Steelworks --$$tIndustrial Cyber Security at the Network Edge: The BRAINE Project Approach --$$tSmart Steel Pipe Production Plant via Cognitive Digital Twins: A Case Study on Digitalization of Spiral Welded Pipe Machinery --$$tTSorage: A Modern and Resilient Platform for Time Series Management at Scale.
001433833 506__ $$aAccess limited to authorized users.
001433833 520__ $$aThis book collects perceptions and needs expectations and experiences concerning the application of Artificial Intelligence (AI) and Machine Learning in the steel sector. It contains a selection of themes discussed within the Workshop entitled Impact and Opportunities of Artificial Intelligence in the Steel Industry Borganized by the European Steel Technology Platform as an online event from October 15 until November 5, 2020. The event aimed at analyzing the diffusion of AI technologies in steelworks and at providing indications for future research, development and innovation actions addressing the sector demands. The chapters treat general analyses on transversal themes and applications for process optimization, product quality enhancement, yield increase, optimal exploitation of resources and smart data handling. The book is devoted to researchers and technicians in the steel or AI fields as well as for managers and policymakers exploring the opportunities provided by AI in industry.
001433833 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 18, 2021).
001433833 650_0 $$aArtificial intelligence$$xIndustrial applications$$vCongresses.
001433833 650_0 $$aSteel industry and trade$$xData processing$$vCongresses.
001433833 650_6 $$aIntelligence artificielle$$xApplications industrielles$$vCongrès.
001433833 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001433833 655_0 $$aElectronic books.
001433833 7001_ $$aColla, Valentina.
001433833 7001_ $$aPietrosanti, Costanzo.
001433833 7112_ $$aWorkshop "Impact and Opportunities of Artificial Intelligence in the Steel Industry"$$d(2020 :$$cOnline)
001433833 77608 $$iPrint version:$$aColla, Valentina.$$tImpact and Opportunities of Artificial Intelligence Techniques in the Steel Industry.$$dCham : Springer International Publishing AG, ©2021$$z9783030693664
001433833 830_0 $$aAdvances in intelligent systems and computing ;$$v1338.
001433833 852__ $$bebk
001433833 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-69367-1$$zOnline Access$$91397441.1
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001433833 983__ $$aOnline
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