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1 Ogorodnyk, Olga; Lyngstad, Ole Vidar; Larsen, Mats; Martinsen, Kristian.
Prediction of Width and Thickness of Injection Molded Parts Using Machine Learning Methods. I: EcoDesign and Sustainability I. Springer 2021 ISBN 978-981-15-6779-7. s. 455-469
2 Assuad, Carla Susana Aqudelo; Tvenge, Nina; Martinsen, Kristian.
System dynamics modelling and learning factories for manufacturing systems education. Procedia CIRP 2020 ;Volum 88. s. 15-18
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3 Baturynska, Ivanna; Martinsen, Kristian.
Prediction of geometry deviations in additive manufactured parts: comparison of linear regression with machine learning algorithms. Journal of Intelligent Manufacturing 2020
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4 Chen, Bo; Wang, Kesheng; Gao, Xiue; Wang, Yi; Chen, Shifeng; Zhang, Tianshu; Martinsen, Kristian; Ghosh, Tamal.
A New Fault Identification Method Based on Combined Reconstruction Contribution Plot and Structured Residual. I: Advanced manufacturing and automation IX. Springer 2020 ISBN 9789811523410. s. 283-291
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5 Gao, Xiue; Chen, Bo; Chen, Shifeng; Wang, Kesheng; Wang, Yi; Xie, Wenxue; Yuan, Jin; Martinsen, Kristian; Ghosh, Tamal.
Collaborative Fault Diagnosis Decision Fusion Algorithm Based on Improved DS Evidence Theory. I: Advanced manufacturing and automation IX. Springer 2020 ISBN 9789811523410. s. 379-387
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6 Ghosh, Tamal; Martinsen, Kristian.
Deploying NSBA algorithm for bi-objective manufacturing cells considering percentage utilisation of machines. International Journal of Intelligent Systems Technologies and Applications 2020 ;Volum 19.(3) s. 257-279
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7 Ghosh, Tamal; Martinsen, Kristian.
Generalized approach for multi-response machining process optimization using machine learning and evolutionary algorithms. Engineering Science and Technology, an International Journal (JESTECH) 2020 ;Volum 23.(3) s. 650-663
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8 Ghosh, Tamal; Martinsen, Kristian.
Machine Learning Based Heuristic Technique for Multi-response Machining Process. Lecture Notes in Mechanical Engineering 2020 s. 25-35
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9 Ghosh, Tamal; Martinsen, Kristian.
NSGA III for CNC End Milling Process Optimization. Communications in Computer and Information Science 2020 s. 185-195
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10 Ghosh, Tamal; Yi, Wang; Martinsen, Kristian; Wang, Kesheng.
A Surrogate-Assisted Optimization Approach for Multi-Response End Milling of Aluminium Alloy AA3105. The International Journal of Advanced Manufacturing Technology 2020 ;Volum 111. s. 2419-2493
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11 Korondi, Peter; Husi, Geza; Martinsen, Kristian; Kunii, Yasuharu.
Proceeding of 3rd International Symposium on Small-scale Intelligent Manufacturing Systems (SIMS2020). IEEE conference proceedings 2020 (ISBN 978-1-7281-6419-9) 100 s.
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12 Leirmo, Torbjørn Langedahl; Semeniuta, Oleksandr; Baturynska, Ivanna; Martinsen, Kristian.
Extracting shape features from a surface mesh using geometric reasoning. Procedia CIRP 2020 ;Volum 93. s. 544-549
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13 Leirmo, Torbjørn Langedahl; Semeniuta, Oleksandr; Martinsen, Kristian.
Tolerancing from STL data: A Legacy Challenge. Procedia CIRP 2020 ;Volum 92. s. 218-223
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14 Leirmo, Torbjørn; Martinsen, Kristian.
Deterministic part orientation in additive manufacturing using feature recognition. Procedia CIRP 2020 ;Volum 88. s. 405-410
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15 Ogorodnyk, Olga; Larsen, Mats; Lyngstad, Ole Vidar; Martinsen, Kristian.
Towards a general application programming interface (API) for injection molding machines. PeerJ Computer Science 2020
16 Tvenge, Nina; Ogorodnyk, Olga; Østbø, Niels Peter; Martinsen, Kristian.
Added value of a virtual approach to simulation-based learning in a manufacturing learning factory. Procedia CIRP 2020 ;Volum 88. s. 36-41
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17 Wang, Yi; Martinsen, Kristian; Yu, Tao; Wang, Kesheng.
Advanced manufacturing and automation IX. Springer 2020 (ISBN 9789811523410) ;Volum 634.681 s. Lecture Notes in Electrical Engineering(.)
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18 Assuad, Carla Susana Aqudelo; Asai, Keito; Takata, Shozo; Martinsen, Kristian.
Life cycle simulation assessment of reusability of electric cars in Norway and Japan, a country comparison. The 11th International Symposium on Environmentally Conscious Design and Inverse Manufacturing (EcoDesign 2019); 2019-11-25 - 2019-11-27
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19 Bhattacharjee, Debraj; Ghosh, Tamal; Bhola, Prabha; Martinsen, Kristian; Dan, Pranab.
Data-driven surrogate assisted evolutionary optimization of hybrid powertrain for improved fuel economy and performance. Energy 2019 ;Volum 183. s. 235-248
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20 Ghosh, Tamal; Martinsen, Kristian.
CFNN-PSO: An Iterative Predictive Model for Generic Parametric Design of Machining Processes. Applied Artificial Intelligence 2019 ;Volum 33.(11) s. 951-978
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21 Ghosh, Tamal; Martinsen, Kristian; Dan, Pranab.
Data-Driven Beetle Antennae Search Algorithm for Electrical Power Modeling of a Combined Cycle Power Plant. Advances in Intelligent Systems and Computing 2019 s. 906-915
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22 Ghosh, Tamal; Martinsen, Kristian; Dan, Pranab.
Development and correlation analysis of non-dominated sorting buffalo optimization NSBUF II using Taguchi’s design coupled gray relational analysis and ANN. Applied Soft Computing 2019 ;Volum 85.
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23 Leirmo, Torbjørn; Martinsen, Kristian.
Evolutionary algorithms in additive manufacturing systems: Discussion of future prospects. Procedia CIRP 2019 ;Volum 81. s. 671-676
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24 Martinsen, Kristian.
Industry 4.0 Closed Loop Tolerance Engineering Maturity Evaluation. I: Advanced Manufacturing and Automation VIII Proceedings IWAMA 2018. Springer 2019 ISBN 978-981-13-2375-1. s. 3-11
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25 Ogorodnyk, Olga; Lyngstad, Ole Vidar; Larsen, Mats; Martinsen, Kristian.
Application of feature selection methods for defining critical parameters in thermoplastics injection molding. Procedia CIRP 2019 ;Volum 81. s. 110-114
26 Ogorodnyk, Olga; Lyngstad, Ole Vidar; Larsen, Mats; Wang, Kesheng; Martinsen, Kristian.
Application of Machine Learning Methods for Prediction of Parts Quality in Thermoplastics Injection Molding. I: Advanced Manufacturing and Automation VIII Proceedings IWAMA 2018. Springer 2019 ISBN 978-981-13-2375-1. s. 237-244
27 Persson, Anna-Maria Märta Ruth; Andreassen, Erik; Martinsen, Kristian; Hinrichsen, Einar L.
Thermoplastic elastomers – Long-term mechanical properties for sealing applications. Nordic Polymer Days 2019; 2019-06-05
28 Tvenge, Nina; Martinsen, Kristian; Holtskog, Halvor.
Learning factories as laboratories for socio-technical experiments. Procedia Manufacturing 2019 ;Volum 31. s. 337-342
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29 Baturynska, Ivanna; Semeniuta, Oleksandr; Martinsen, Kristian.
Optimization of Process Parameters for Powder Bed Fusion Additive Manufacturing by Combination of Machine Learning and Finite Element Method: A Conceptual Framework. Procedia CIRP 2018 ;Volum 67. s. 227-232
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30 Haavi, Thomas; Tvenge, Nina; Martinsen, Kristian.
CDIO design education collaboration using 3D-desktop printers. Procedia CIRP 2018 ;Volum 70. s. 325-330
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31 Huang, Lizhen; Martinsen, Kristian.
Data driven plastic recycling. PAPB stakeholder seminar; 2018-12-05 - 2018-12-05
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32 Huang, Lizhen; Martinsen, Kristian; Holtskog, Halvor; Ringen, Geir.
Data driven recycling: products as plastic bank. Coping with the future; 2018-10-08 - 2018-10-10
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33 Moldavska, Anastasiia; Martinsen, Kristian.
Defining Sustainable Manufacturing Using a Concept of Attractor as a Metaphor. Procedia CIRP 2018 ;Volum 67. s. 93-97
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34 Ogorodnyk, Olga; Martinsen, Kristian.
Monitoring and Control for Thermoplastics Injection Molding A Review. Procedia CIRP 2018 ;Volum 67. s. 380-385
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35 Semeniuta, Oleksandr; Dransfeld, Sebastian; Martinsen, Kristian; Falkman, Petter.
Towards increased intelligence and automatic improvement in industrial vision systems. Procedia CIRP 2018 ;Volum 67. s. 256-261
36 Tvenge, Nina; Martinsen, Kristian.
Integration of digital learning in industry 4.0. Procedia Manufacturing 2018 ;Volum 23. s. 261-266
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37 Martinsen, Kristian.
Manufuture Joining sub-platform report to GA 2017. Manufuture sub-platform joining General Assembly; 2017-11-15 - 2017-11-15
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38 Martinsen, Kristian; Gellein, Lars Tore; Boivie, Klas Magnus.
Sensors embedded in surface coatings in injection moulding dies. Procedia CIRP 2017 ;Volum 62. s. 386-390
39 Holtskog, Halvor; Martinsen, Kristian; Skogsrød, Torbjørn; Ringen, Geir.
The Pivoting Problem of Lean. Procedia CIRP 2016 ;Volum 41. s. 591-595
40 Martinsen, Kristian; Jonathan, Downey; Baturynska, Ivanna.
Human-Machine Interface for Artificial Neural Network Based Machine Tool Process Monitoring. Procedia CIRP 2016 ;Volum 41. s. 933-938
41 Matsumoto, Mitsutaka; Yang, Shanshan; Martinsen, Kristian; Kainuma, Yasutaka.
Trends and research challenges in remanufacturing. International Journal of Precision Engineering and Manufacturing - Green Technology 2016 ;Volum 3.(1) s. 129-142
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42 Tvenge, Nina; Martinsen, Kristian.
Selection of ICT-tools for manufacturing education. Procedia CIRP 2016 ;Volum 41. s. 1096-1100
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43 Tvenge, Nina; Martinsen, Kristian; Kolla, Sri Sudha Vijay Keshav.
Combining Learning Factories and ICT- based Situated Learning. Procedia CIRP 2016 ;Volum 54. s. 101-106
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44 Krogstie, Lars; Walter, Michael S.J.; Wartzack, Sandro; Martinsen, Kristian.
Towards a more Comprehensive Understanding of Tolerance Engineering Research Importance. Procedia CIRP 2015 ;Volum 27. s. 29-34
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45 Martinsen, Kristian.
CIRP Learning Factory Conference June 2016. CIRP Collaborative Working Group Learning Factories; 2015-08-24 - 2015-08-29
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46 Martinsen, Kristian.
Doing More with Less. Sillongen konferansen 2015; 2015-02-11 - 2015-02-11
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47 Martinsen, Kristian; Gulbrandsen-Dahl, Sverre.
Use of post-consumer scrap in aluminium wrought alloy structural components for the transportation sector. Procedia CIRP 2015 ;Volum 29. s. 686-691
48 Martinsen, Kristian; Hu, SJ; Carlson, B.E..
Joining of dissimilar materials. CIRP annals 2015 ;Volum 64.(2) s. 679-699
49 Martinsen, Kristian; Odd, Myklebust.
Report from IFACOM project at the STC O. CIRP STC O; 2015-08-24 - 2015-08-29
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50 Karakoyun, F.; Kiritsis, Dimitris; Martinsen, Kristian.
Holistic life cycle approach for lightweight automotive components. Metallurgical Research and Technology 2014 ;Volum 111.(3) s. 137-146
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