International Congress and Workshop on Industrial AI and eMaintenance 2023
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 M...
সংরক্ষণ করুন:
| সংস্থা লেখক: | |
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| অন্যান্য লেখক: | , , , |
| বিন্যাস: | বৈদ্যুতিক বৈদ্যুতিন গ্রন্থ |
| ভাষা: | ইংরেজি |
| প্রকাশিত: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
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| সংস্করন: | 1st ed. 2024. |
| মালা: | Lecture Notes in Mechanical Engineering,
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | https://doi.org/10.1007/978-3-031-39619-9 |
| ট্যাগগুলো: |
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| 245 | 1 | 0 | |a International Congress and Workshop on Industrial AI and eMaintenance 2023 |h [electronic resource] / |c edited by Uday Kumar, Ramin Karim, Diego Galar, Ravdeep Kour. |
| 250 | |a 1st ed. 2024. | ||
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| 300 | |a 1 online resource (XII, 801 p. 351 illus.). |b 287 illus. in color. | ||
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| 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. | ||
| 532 | 8 | |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 588 | |a Print version record. | ||
| 650 | 0 | |a Internet of things. | |
| 650 | 0 | |a Cooperating objects (Computer systems). | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Industrial engineering. | |
| 650 | 0 | |a Production engineering. | |
| 650 | 1 | 4 | |a Internet of Things. |
| 650 | 2 | 4 | |a Cyber-Physical Systems. |
| 650 | 2 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Industrial and Production Engineering. |
| 700 | 1 | |a Kumar, Uday. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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| 700 | 1 | |a Galar, Diego. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Kour, Ravdeep. |e editor. |0 (orcid)0000-0003-0734-0959 |1 https://orcid.org/0000-0003-0734-0959 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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