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

切換: 標籤 | MARC模式 | ISBD

International Congress and Workshop ...

International Congress and Workshop on Industrial AI and eMaintenance (2023 :)

FindBook

Google Book

Amazon

博客來

International Congress and Workshop on Industrial AI and eMaintenance 2023

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	International Congress and Workshop on Industrial AI and eMaintenance 2023/ edited by Uday Kumar ... [et al.].
其他作者:	Kumar, Uday.
團體作者:	International Congress and Workshop on Industrial AI and eMaintenance
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	xii, 801 p. :ill. (some col.), digital ;24 cm.
內容註:	Use cases of Generative AI in Asset Management of Railways -- A neuroergonomics mirror-based platform to enhance cognitive impairments in fighter pilots -- Risk-based safety improvements in railway asset management -- Performance of Reinforcement Learning in Molecular Dynamics Simulations: A Case Study of Hydrocarbon Dynamics -- Causal Effects of Railway Track Maintenance - An Experimental Case Study of Tamping -- Self-Driving Cars in the Arctic Environment -- Towards a Railway Infrastructure Digital Twin Framework for African Railway Lifecycle Management.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Industrial applications -
電子資源:	https://doi.org/10.1007/978-3-031-39619-9
ISBN:	9783031396199

International Congress and Workshop on Industrial AI and eMaintenance 2023
International Congress and Workshop on Industrial AI and eMaintenance 2023[electronic resource] /edited by Uday Kumar ... [et al.]. - Cham :Springer Nature Switzerland :2024. - xii, 801 p. :ill. (some col.), digital ;24 cm. - Lecture notes in mechanical engineering,2195-4364. - Lecture notes in mechanical engineering..

Use cases of Generative AI in Asset Management of Railways -- A neuroergonomics mirror-based platform to enhance cognitive impairments in fighter pilots -- Risk-based safety improvements in railway asset management -- Performance of Reinforcement Learning in Molecular Dynamics Simulations: A Case Study of Hydrocarbon Dynamics -- Causal Effects of Railway Track Maintenance - An Experimental Case Study of Tamping -- Self-Driving Cars in the Arctic Environment -- Towards a Railway Infrastructure Digital Twin Framework for African Railway Lifecycle Management.

This proceedings brings together the papers presented at the International Congress and Workshop on Industrial AI and eMaintenance 2023 (IAI2023). The conference integrates the themes and topics of three conferences: Industrial AI & eMaintenance, Condition Monitoring and Diagnostic Engineering Management (COMADEM) and, Advances in Reliability, Maintainability and Supportability (ARMS) on a single platform. This proceedings serves both academy and industry in providing an excellent platform for collaboration by providing a forum for exchange of ideas and networking. The 21st century has seen remarkable progress in Artificial Intelligence, with application to a variety of fields (computer vision, automatic translation, sentiment analysis in social networks, robotics, etc.) The IAI2023 focuses on Industrial Artificial Intelligence, or IAI. The emergence of industrial AI applications holds tremendous promises in terms of achieving excellence and cost-effectiveness in the operation and maintenance of industrial assets. Opportunities in Industrial AI exist in many industries such as aerospace, railways, mining, construction, process industry, etc. Its development is powered by several trends: the Internet of Things (IoT); the increasing convergence between OT (operational technologies) and IT (information technologies); last but not least, the unabated fast-paced developments of advanced analytics. However, numerous technical and organizational challenges to the widespread development of industrial AI still exist. The IAI2023 conference and its proceedings foster fruitful discussions between AI creators and industrial practitioners.

ISBN: 9783031396199

Standard No.: 10.1007/978-3-031-39619-9doiSubjects--Topical Terms:

704827
Artificial intelligence
--Industrial applications

LC Class. No.: TA347.A78 / I58 2023

Dewey Class. No.: 006.3

International Congress and Workshop on Industrial AI and eMaintenance 2023
LDR:03298nmm a2200337 a 4500 001 2389727
003 DE-He213
005 20240627181150.0
006 m d
007 cr nn 008maaau
008 250916s2024 sz s 0 eng d
020 $a 9783031396199 $q (electronic bk.)
020 $a 9783031396182 $q (paper)
024 7 $a 10.1007/978-3-031-39619-9 $2 doi
035 $a 978-3-031-39619-9
040 $a GP $c GP
041 0 $a eng
050 4 $a TA347.A78 $b I58 2023
072 7 $a UT $2 bicssc
072 7 $a COM043000 $2 bisacsh
072 7 $a UT $2 thema
082 0 4 $a 006.3 $2 23
090 $a TA347.A78 $b I61 2023
111 2 $a International Congress and Workshop on Industrial AI and eMaintenance $n (7th : $d 2023 : $c Luleå, Sweden) $3 3755578
245 1 0 $a International Congress and Workshop on Industrial AI and eMaintenance 2023 $h [electronic resource] / $c edited by Uday Kumar ... [et al.].
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a xii, 801 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in mechanical engineering, $x 2195-4364
505 0 $a Use cases of Generative AI in Asset Management of Railways -- A neuroergonomics mirror-based platform to enhance cognitive impairments in fighter pilots -- Risk-based safety improvements in railway asset management -- Performance of Reinforcement Learning in Molecular Dynamics Simulations: A Case Study of Hydrocarbon Dynamics -- Causal Effects of Railway Track Maintenance - An Experimental Case Study of Tamping -- Self-Driving Cars in the Arctic Environment -- Towards a Railway Infrastructure Digital Twin Framework for African Railway Lifecycle Management.
520 $a This proceedings brings together the papers presented at the International Congress and Workshop on Industrial AI and eMaintenance 2023 (IAI2023). The conference integrates the themes and topics of three conferences: Industrial AI & eMaintenance, Condition Monitoring and Diagnostic Engineering Management (COMADEM) and, Advances in Reliability, Maintainability and Supportability (ARMS) on a single platform. This proceedings serves both academy and industry in providing an excellent platform for collaboration by providing a forum for exchange of ideas and networking. The 21st century has seen remarkable progress in Artificial Intelligence, with application to a variety of fields (computer vision, automatic translation, sentiment analysis in social networks, robotics, etc.) The IAI2023 focuses on Industrial Artificial Intelligence, or IAI. The emergence of industrial AI applications holds tremendous promises in terms of achieving excellence and cost-effectiveness in the operation and maintenance of industrial assets. Opportunities in Industrial AI exist in many industries such as aerospace, railways, mining, construction, process industry, etc. Its development is powered by several trends: the Internet of Things (IoT); the increasing convergence between OT (operational technologies) and IT (information technologies); last but not least, the unabated fast-paced developments of advanced analytics. However, numerous technical and organizational challenges to the widespread development of industrial AI still exist. The IAI2023 conference and its proceedings foster fruitful discussions between AI creators and industrial practitioners.
650 0 $a Artificial intelligence $x Industrial applications $x Congresses. $3 704827
650 0 $a Industrial engineering. $3 526216
650 1 4 $a Internet of Things. $3 3538511
650 2 4 $a Cyber-Physical Systems. $3 3591993
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Industrial and Production Engineering. $3 891024
700 1 $a Kumar, Uday. $3 2181180
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in mechanical engineering. $3 1622279
856 4 0 $u https://doi.org/10.1007/978-3-031-39619-9
950 $a Engineering (SpringerNature-11647)