東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"Steel industry and trade- Data processing" ]

切換: 標籤 | MARC模式 | ISBD

Impact and opportunities of artifici...

Colla, Valentina.

FindBook

Google Book

Amazon

博客來

Impact and opportunities of artificial intelligence techniques in the steel industry = Ongoing applications, perspectives and future trends /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Impact and opportunities of artificial intelligence techniques in the steel industry/ edited by Valentina Colla, Costanzo Pietrosanti.
其他題名:	Ongoing applications, perspectives and future trends /
其他作者:	Colla, Valentina.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xiv, 152 p. :ill., digital ;24 cm.
內容註:	Challenges and frontiers in implementing artificial intelligence in process industry -- Data Pre-processing for effective design of Machine Learning-based models in the steel sector -- Quantifying uncertainty in physics-informed variational autoencoders for anomaly detection -- Mapping of Standardized State Machines to Utilize Machine Learning Models in Process Control Environments -- Quality4.0 - Transparent product quality supervision in the age of Industry 4.0 -- Artificial Intelligence and Machine Learning techniques for generation and assessment of products properties data -- The use of advanced data analytics to monitor process-induced changes to the microstructure and mechanical properties in flat steel strip -- Unsupervised Deep Learning for Detection of Non-uniform Surface Defect Distributions in Flat Steel Production -- Machine Learning-based models for supporting optimal exploitation of process off-gases in integrated steelworks -- 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 -- TSorage: A Modern and Resilient Platform for Time Series Management at Scale.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Industrial applications -
電子資源:	https://doi.org/10.1007/978-3-030-69367-1
ISBN:	9783030693671

Impact and opportunities of artificial intelligence techniques in the steel industry = Ongoing applications, perspectives and future trends /
Impact and opportunities of artificial intelligence techniques in the steel industryOngoing applications, perspectives and future trends /[electronic resource] :edited by Valentina Colla, Costanzo Pietrosanti. - Cham :Springer International Publishing :2021. - xiv, 152 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.13382194-5357 ;. - Advances in intelligent systems and computing ;v.1338..

Challenges and frontiers in implementing artificial intelligence in process industry -- Data Pre-processing for effective design of Machine Learning-based models in the steel sector -- Quantifying uncertainty in physics-informed variational autoencoders for anomaly detection -- Mapping of Standardized State Machines to Utilize Machine Learning Models in Process Control Environments -- Quality4.0 - Transparent product quality supervision in the age of Industry 4.0 -- Artificial Intelligence and Machine Learning techniques for generation and assessment of products properties data -- The use of advanced data analytics to monitor process-induced changes to the microstructure and mechanical properties in flat steel strip -- Unsupervised Deep Learning for Detection of Non-uniform Surface Defect Distributions in Flat Steel Production -- Machine Learning-based models for supporting optimal exploitation of process off-gases in integrated steelworks -- 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 -- TSorage: A Modern and Resilient Platform for Time Series Management at Scale.

This 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" organized 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.

ISBN: 9783030693671

Standard No.: 10.1007/978-3-030-69367-1doiSubjects--Topical Terms:

704827
Artificial intelligence
--Industrial applications

LC Class. No.: TA347.A78

Dewey Class. No.: 620.0028563

Impact and opportunities of artificial intelligence techniques in the steel industry = Ongoing applications, perspectives and future trends /
LDR:03432nmm a2200337 a 4500 001 2238333
003 DE-He213
005 20210521151742.0
006 m d
007 cr nn 008maaau
008 211111s2021 sz s 0 eng d
020 $a 9783030693671 $q (electronic bk.)
020 $a 9783030693664 $q (paper)
024 7 $a 10.1007/978-3-030-69367-1 $2 doi
035 $a 978-3-030-69367-1
040 $a GP $c GP
041 0 $a eng
050 4 $a TA347.A78
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 620.0028563 $2 23
090 $a TA347.A78 $b I34 2021
245 0 0 $a Impact and opportunities of artificial intelligence techniques in the steel industry $h [electronic resource] : $b Ongoing applications, perspectives and future trends / $c edited by Valentina Colla, Costanzo Pietrosanti.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xiv, 152 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advances in intelligent systems and computing, $x 2194-5357 ; $v v.1338
505 0 $a Challenges and frontiers in implementing artificial intelligence in process industry -- Data Pre-processing for effective design of Machine Learning-based models in the steel sector -- Quantifying uncertainty in physics-informed variational autoencoders for anomaly detection -- Mapping of Standardized State Machines to Utilize Machine Learning Models in Process Control Environments -- Quality4.0 - Transparent product quality supervision in the age of Industry 4.0 -- Artificial Intelligence and Machine Learning techniques for generation and assessment of products properties data -- The use of advanced data analytics to monitor process-induced changes to the microstructure and mechanical properties in flat steel strip -- Unsupervised Deep Learning for Detection of Non-uniform Surface Defect Distributions in Flat Steel Production -- Machine Learning-based models for supporting optimal exploitation of process off-gases in integrated steelworks -- 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 -- TSorage: A Modern and Resilient Platform for Time Series Management at Scale.
520 $a This 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" organized 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.
650 0 $a Artificial intelligence $x Industrial applications $x Congresses. $3 704827
650 0 $a Steel industry and trade $x Data processing $v Congresses. $3 3491382
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Manufacturing, Machines, Tools, Processes. $3 3381528
700 1 $a Colla, Valentina. $3 3491379
700 1 $a Pietrosanti, Costanzo. $3 3491380
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Advances in intelligent systems and computing ; $v v.1338. $3 3491381
856 4 0 $u https://doi.org/10.1007/978-3-030-69367-1
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)