Change search
Link to record
Permanent link

Direct link
Publications (10 of 122) Show all publications
Sharma, G., Karim, R., Samuelson, O. & Simu, K. (2024). A Conceptual Model for AI-Enabled Digitalization of Construction Site Management Decision Making. In: International Congress and Workshop on Industrial AI and eMaintenance 2023: . Paper presented at 7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023, Luleå, Sweden, June 13-15, 2023 (pp. 145-149). Springer Science and Business Media Deutschland GmbH
Open this publication in new window or tab >>A Conceptual Model for AI-Enabled Digitalization of Construction Site Management Decision Making
2024 (English)In: International Congress and Workshop on Industrial AI and eMaintenance 2023, Springer Science and Business Media Deutschland GmbH , 2024, p. 145-149Conference paper, Published paper (Other academic)
Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH, 2024
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356, E-ISSN 2195-4364
National Category
Construction Management Business Administration
Research subject
Operation and Maintenance Engineering; Construction Management and Building Technology
Identifiers
urn:nbn:se:ltu:diva-103872 (URN)10.1007/978-3-031-39619-9_11 (DOI)2-s2.0-85181976215 (Scopus ID)
Conference
7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023, Luleå, Sweden, June 13-15, 2023
Available from: 2024-01-23 Created: 2024-01-23 Last updated: 2024-01-23Bibliographically approved
Candell, O., Hällqvist, R., Olsson, E., Fransson, T., Thaduri, A. & Karim, R. (2024). Cyber-Physical Asset Management of Air Vehicle System. In: International Congress and Workshop on Industrial AI and eMaintenance 2023: . Paper presented at 7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023, Luleå, Sweden, June 13-15,2023 (pp. 679-692). Springer Science and Business Media Deutschland GmbH
Open this publication in new window or tab >>Cyber-Physical Asset Management of Air Vehicle System
Show others...
2024 (English)In: International Congress and Workshop on Industrial AI and eMaintenance 2023, Springer Science and Business Media Deutschland GmbH , 2024, p. 679-692Conference paper, Published paper (Other academic)
Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH, 2024
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356, E-ISSN 2195-4364
National Category
Electrical Engineering, Electronic Engineering, Information Engineering Mechanical Engineering
Research subject
Operation and Maintenance Engineering
Identifiers
urn:nbn:se:ltu:diva-103887 (URN)10.1007/978-3-031-39619-9_50 (DOI)2-s2.0-85181982286 (Scopus ID)
Conference
7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023, Luleå, Sweden, June 13-15,2023
Funder
Vinnova
Available from: 2024-01-23 Created: 2024-01-23 Last updated: 2024-01-23Bibliographically approved
Kumar, U., Karim, R., Galar, D. & Kour, R. (2024). Editorial. In: Kumar U.; Karim R.; Galar D.; Kour R. (Ed.), International Congress and Workshop on Industrial AI and eMaintenance 2023: (pp. v-vi). Springer Science and Business Media Deutschland GmbH
Open this publication in new window or tab >>Editorial
2024 (English)In: International Congress and Workshop on Industrial AI and eMaintenance 2023 / [ed] Kumar U.; Karim R.; Galar D.; Kour R., Springer Science and Business Media Deutschland GmbH , 2024, p. v-viChapter in book (Other academic)
Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH, 2024
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356, E-ISSN 2195-4364
National Category
Reliability and Maintenance
Research subject
Operation and Maintenance Engineering
Identifiers
urn:nbn:se:ltu:diva-103907 (URN)2-s2.0-85182009595 (Scopus ID)978-3-031-39618-2 (ISBN)978-3-031-39619-9 (ISBN)
Available from: 2024-01-24 Created: 2024-01-24 Last updated: 2024-01-24Bibliographically approved
Kour, R., Karim, R. & Dersin, P. (2024). Game Theory and Cyber Kill Chain: A Strategic Approach to Cybersecurity. In: International Congress and Workshop on Industrial AI and eMaintenance 2023: . Paper presented at 7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023, Luleå, Sweden, June 13-15, 2023 (pp. 451-463). Springer Science and Business Media Deutschland GmbH
Open this publication in new window or tab >>Game Theory and Cyber Kill Chain: A Strategic Approach to Cybersecurity
2024 (English)In: International Congress and Workshop on Industrial AI and eMaintenance 2023, Springer Science and Business Media Deutschland GmbH , 2024, p. 451-463Conference paper, Published paper (Other academic)
Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH, 2024
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356, E-ISSN 2195-4364
National Category
Computer and Information Sciences
Research subject
Operation and Maintenance Engineering
Identifiers
urn:nbn:se:ltu:diva-103873 (URN)10.1007/978-3-031-39619-9_33 (DOI)2-s2.0-85181976851 (Scopus ID)
Conference
7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023, Luleå, Sweden, June 13-15, 2023
Available from: 2024-01-23 Created: 2024-01-23 Last updated: 2024-01-23Bibliographically approved
Kumar, U., Karim, R., Galar, D. & Kour, R. (Eds.). (2024). International Congress and Workshop on Industrial AI and eMaintenance 2023. Paper presented at IAI: International Congress and Workshop on Industrial AI, Luleå, Sweden, 13-15 june, 2023. Springer
Open this publication in new window or tab >>International Congress and Workshop on Industrial AI and eMaintenance 2023
2024 (English)Conference proceedings (editor) (Refereed)
Place, publisher, year, edition, pages
Springer, 2024. p. 801
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356, E-ISSN 2195-4364
National Category
Reliability and Maintenance
Research subject
Quality Technology and Logistics
Identifiers
urn:nbn:se:ltu:diva-103915 (URN)10.1007/978-3-031-39619-9 (DOI)978-3-031-39618-2 (ISBN)978-3-031-39619-9 (ISBN)
Conference
IAI: International Congress and Workshop on Industrial AI, Luleå, Sweden, 13-15 june, 2023
Available from: 2024-01-24 Created: 2024-01-24 Last updated: 2024-01-24Bibliographically approved
Khanna, P., Karim, R. & Kumari, J. (2024). Issues and Challenges in Implementing the Metaverse in the Industrial Contexts from a Human-System Interaction Perspective. In: International Congress and Workshop on Industrial AI and eMaintenance 2023: . Paper presented at 7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023, Luleå, Sweden, June 13-15, 2023 (pp. 303-318). Springer Science and Business Media Deutschland GmbH
Open this publication in new window or tab >>Issues and Challenges in Implementing the Metaverse in the Industrial Contexts from a Human-System Interaction Perspective
2024 (English)In: International Congress and Workshop on Industrial AI and eMaintenance 2023, Springer Science and Business Media Deutschland GmbH , 2024, p. 303-318Conference paper, Published paper (Other academic)
Abstract [en]

The concept of Metaverse is emerging in the industry. Metaverse is expected to be important in industrial asset management and sustainable operation and maintenance. Some of the potentials of implementing Metaverse in the industry can be related to virtual co-creation and design, remote and virtual inspection and maintenance, skills development and training, simulation, safety, and security. Additionally, Metaverse integrated with Artificial Intelligence (AI) and digital technologies will augment human perception, facilitating the Human-System-Interaction (HSI). The traditional HSI carries limitations regarding usability, immersiveness, and connectivity when it comes to the interaction between the virtual, augmented, and real world. An improved HSI in such cyberspace applications may lead to a better understanding of the system and eventually reduced faults. However, implementing Metaverse in industrial contexts is challenging and has not yet been explored thoroughly and systematically. Hence, this paper aims to systematically identify and investigate the various issues and challenges in the implementation of Metaverse in industrial contexts from an HSI perspective. The paper will further provide a taxonomy of these issues and challenges. The research methodology has been based on literature surveys, active and passive observations, and experiments done in the eMaintenanceLAB at Luleå University of Technology. The findings from this paper can be used to increase the effectiveness and efficiency of implementing Metaverse in various industrial contexts.

Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH, 2024
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356, E-ISSN 2195-4364
Keywords
Architecture, Augmented reality, Human-system interaction, Industrial metaverse, Metaverse, Virtual reality
National Category
Computer Systems Computer Engineering Production Engineering, Human Work Science and Ergonomics
Research subject
Operation and Maintenance Engineering
Identifiers
urn:nbn:se:ltu:diva-103888 (URN)10.1007/978-3-031-39619-9_22 (DOI)2-s2.0-85181983353 (Scopus ID)
Conference
7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023, Luleå, Sweden, June 13-15, 2023
Note

Funder: H2020 (GA 955681);

Available from: 2024-01-23 Created: 2024-01-23 Last updated: 2024-01-23Bibliographically approved
Patwardhan, A., Thaduri, A. & Karim, R. (2024). Point Cloud Data Augmentation for Linear Assets. In: International Congress and Workshop on Industrial AI and eMaintenance 2023: . Paper presented at 7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023, Luleå, Sweden, June 13-15, 2023 (pp. 615-625). Springer Science and Business Media Deutschland GmbH
Open this publication in new window or tab >>Point Cloud Data Augmentation for Linear Assets
2024 (English)In: International Congress and Workshop on Industrial AI and eMaintenance 2023, Springer Science and Business Media Deutschland GmbH , 2024, p. 615-625Conference paper, Published paper (Other academic)
Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH, 2024
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356, E-ISSN 2195-4364
National Category
Computer and Information Sciences Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Operation and Maintenance Engineering
Identifiers
urn:nbn:se:ltu:diva-103871 (URN)10.1007/978-3-031-39619-9_45 (DOI)2-s2.0-85181975804 (Scopus ID)
Conference
7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023, Luleå, Sweden, June 13-15, 2023
Available from: 2024-01-23 Created: 2024-01-23 Last updated: 2024-01-23Bibliographically approved
Kumari, J. & Karim, R. (2024). Use Cases of Generative AI in Asset Management of Railways. In: International Congress and Workshop on Industrial AI and eMaintenance 2023: . Paper presented at 7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023, Luleå, Sweden, June 13-15, 2023 (pp. 15-29). Springer Science and Business Media Deutschland GmbH
Open this publication in new window or tab >>Use Cases of Generative AI in Asset Management of Railways
2024 (English)In: International Congress and Workshop on Industrial AI and eMaintenance 2023, Springer Science and Business Media Deutschland GmbH , 2024, p. 15-29Conference paper, Published paper (Other academic)
Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH, 2024
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356, E-ISSN 2195-4364
National Category
Reliability and Maintenance Infrastructure Engineering
Research subject
Operation and Maintenance Engineering
Identifiers
urn:nbn:se:ltu:diva-103876 (URN)10.1007/978-3-031-39619-9_2 (DOI)2-s2.0-85181979188 (Scopus ID)
Conference
7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023, Luleå, Sweden, June 13-15, 2023
Available from: 2024-01-23 Created: 2024-01-23 Last updated: 2024-01-23Bibliographically approved
Karim, R., Galar, D. & Kumar, U. (2023). AI Factory: Theories, Applications and Case Studies (1ed.). Taylor & Francis
Open this publication in new window or tab >>AI Factory: Theories, Applications and Case Studies
2023 (English)Book (Other academic)
Abstract [en]

This book provides insights into how to approach and utilise data science tools, technologies, and methodologies related to artificial intelligence (AI) in industrial contexts. It explains the essence of distributed computing and AI technologies and their interconnections. It includes descriptions of various technology and methodology approaches and their purpose and benefits when developing AI solutions in industrial contexts. In addition, this book summarises experiences from AI technology deployment projects from several industrial sectors. Features:

• Presents a compendium of methodologies and technologies in industrial AI and digitalisation.

• Illustrates the sensor-to-actuation approach showing the complete cycle, which defines and differentiates AI and digitalisation.

• Covers a broad range of academic and industrial issues within the field of asset management.

• Discusses the impact of Industry 4.0 in other sectors.

• Includes a dedicated chapter on real-time case studies.

This book is aimed at researchers and professionals in industrial and software engineering, network security, AI and machine learning (ML), engineering managers, operational and maintenance specialists, asset managers, and digital and AI manufacturing specialists.

Place, publisher, year, edition, pages
Taylor & Francis, 2023. p. 444 Edition: 1
Series
AI Factory: Theories, Applications and Case Studies
National Category
Computer Systems
Research subject
Operation and Maintenance Engineering
Identifiers
urn:nbn:se:ltu:diva-99496 (URN)10.1201/9781003208686 (DOI)2-s2.0-85165345291 (Scopus ID)9781032077642 (ISBN)9781003208686 (ISBN)
Available from: 2023-08-11 Created: 2023-08-11 Last updated: 2023-08-11Bibliographically approved
Thaduri, A., Patwardhan, A., Kour, R. & Karim, R. (2023). Predictive maintenance of mobile mining machinery: A case study for dumpers. In: Mário P. Brito; Terje Aven; Piero Baraldi; Marko Čepin; Enrico Zio (Ed.), Proceedings of the 33rd European Safety and Reliability Conference (ESREL 2023): . Paper presented at 33rd European Safety and Reliability Conference (ESREL 2023), Southampton, United Kingdom, September 3-7, 2023 (pp. 3481-3488). Research Publishing Services, Article ID P298.
Open this publication in new window or tab >>Predictive maintenance of mobile mining machinery: A case study for dumpers
2023 (English)In: Proceedings of the 33rd European Safety and Reliability Conference (ESREL 2023) / [ed] Mário P. Brito; Terje Aven; Piero Baraldi; Marko Čepin; Enrico Zio, Research Publishing Services , 2023, p. 3481-3488, article id P298Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Research Publishing Services, 2023
National Category
Reliability and Maintenance
Research subject
Operation and Maintenance Engineering
Identifiers
urn:nbn:se:ltu:diva-101590 (URN)10.3850/978-981-18-8071-1_P298-cd (DOI)
Conference
33rd European Safety and Reliability Conference (ESREL 2023), Southampton, United Kingdom, September 3-7, 2023
Funder
Luleå University of Technology
Note

Funder: Coal India funding agency; AI Factory Platform;

ISBN for host publication: 978-981-18-8071-1

Available from: 2023-10-06 Created: 2023-10-06 Last updated: 2024-01-29Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-0055-2740

Search in DiVA

Show all publications