Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Mike Holenderski"'
Publikováno v:
Production Planning & Control. :1-10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df9226e144028cd920db117f457dd7cc
https://doi.org/10.1080/09537287.2022.2103471
https://doi.org/10.1080/09537287.2022.2103471
Publikováno v:
Procedia Computer Science. 200:1508-1515
Photolithography is a process used in the manufacturing of dies, which are at the core of complex integrated circuits. During this process several layers of semi-conducting material are stacked on top of each other. Precise alignment of the layers is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d385116f5960a6a066edfaf084932c1e
https://doi.org/10.1016/j.procs.2022.01.352
https://doi.org/10.1016/j.procs.2022.01.352
Publikováno v:
Advances in Intelligent Data Analysis XXI ISBN: 9783031300462
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d47abde7240d2c0e50895d67bf821de7
https://doi.org/10.1007/978-3-031-30047-9_34
https://doi.org/10.1007/978-3-031-30047-9_34
Autor:
Martin Hanik, Patrick Lazo, Ngoc-Phuong Ho-Thi, Nihar Bagewadi, Shankar Gangisetty, Mike Holenderski, Reinhold Preiner, Bang-Dang Pham, Stefan Lengauer, Hieu Dao, Loek Tonnaer, Milagritos Jimenez, Luis A. Pérez Rey, Thang-Long Nguyen-Ho, Ivan Sipiran, Benjamin Bustos, Dinh-Huan Nguyen, Christoph von Tycowicz, Cristian Lopez, Roxane Licandro, Tobias Schreck, Arniel Labrada, Quoc-Huy Trinh, Dmitri Jarnikov, Minh-Khoi Pham, The-Anh Vu-Le
Publikováno v:
Computers and Graphics, 100, 1-20. Elsevier
This paper presents the methods and results of the SHREC’21 track on a dataset of cultural heritage (CH) objects. We present a dataset of 938 scanned models that have varied geometry and artistic styles. For the competition, we propose two challeng
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::859e0c8befb824b84f30ec01571bbe9c
https://doi.org/10.1016/j.cag.2021.07.010
https://doi.org/10.1016/j.cag.2021.07.010
Autor:
Erkki Jantunen, Alp Ackay, Jaime Campos, Mike Holenderski, Arja Kotkansalo, Riku Salokangas, Pankaj Sharma
Publikováno v:
The MANTIS Book ISBN: 9781003339748
Scopus-Elsevier
Jantunen, E, Ackay, A, Campos, J, Holenderski, M, Kotkansalo, A, Salokangas, R & Sharma, P 2018, Business Drivers of a Collaborative, Proactive Maintenance Solution . in M Albano, E Jantunen, G Papa & U Zurutuza (eds), The MANTIS Book : Cyber Physical System Based Proactive Collaborative Maintenance . River Publishers, pp. 7-35 . < https://www.riverpublishers.com/downloadchapter.php?file=RP_9788793609846C2.pdf >
VTT Technical Research Centre of Finland-PURE
Scopus-Elsevier
Jantunen, E, Ackay, A, Campos, J, Holenderski, M, Kotkansalo, A, Salokangas, R & Sharma, P 2018, Business Drivers of a Collaborative, Proactive Maintenance Solution . in M Albano, E Jantunen, G Papa & U Zurutuza (eds), The MANTIS Book : Cyber Physical System Based Proactive Collaborative Maintenance . River Publishers, pp. 7-35 . < https://www.riverpublishers.com/downloadchapter.php?file=RP_9788793609846C2.pdf >
VTT Technical Research Centre of Finland-PURE
The elevated complexity and costs of production assets combined with the requirements for high-quality manufactured products necessitate novel design and condition-based maintenance approaches that are able to provide the required levels of availabil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cda1604f3654ee1737a3668e7117a7a
https://doi.org/10.1201/9781003339748-2
https://doi.org/10.1201/9781003339748-2
Autor:
Shu Xiang, Bo Li, Mike Holenderski, Vinh Ton-That, Tobias Schreck, Van Tu Ninh, Xinwei He, Wenhui Li, Juefei Yuan, Xiang Bai, Shandian Zhe, An-An Liu, Heyu Zhou, Kai He, Yang Zhou, Perez Rey, Dmitri Jarnikov, Zhichao Zhou, Xiaolong Liu, Trong Le Do, Thanh-An Nguyen, Tu-Khiem Le, Yijuan Lu, Vinh Tiep Nguyen, Khac Tuan Nguyen, Minh N. Do, Ngoc Minh Bui, Minh-Triet Tran, Song Bai, Anh Duc Duong, Yuting Su, Vlado Menkovski, Hameed Abdul-Rashid, Tianyang Wang, Weizhi Nie
Publikováno v:
Computer Vision and Image Understanding, 201:103070. Academic Press Inc.
3D scene shape retrieval is a brand new but important research direction in content-based 3D shape retrieval. To promote this research area, two Shape Retrieval Contest (SHREC) tracks on 2D scene sketch-based and image-based 3D scene model retrieval
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3228bbb99d3d3850737f35e93e79e7ff
https://research.tue.nl/nl/publications/2134d9ff-04c1-4c0a-ac76-9e2ae4737bce
https://research.tue.nl/nl/publications/2134d9ff-04c1-4c0a-ac76-9e2ae4737bce
Publikováno v:
ICPS
Complex real-life routing challenges can be modeled as variations of well-known combinatorial optimization problems. These routing problems have long been studied and are difficult to solve at scale. The particular setting may also make exact formula
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc143fa2ef11e74ae0766d491bf48ec9
http://arxiv.org/abs/2009.10520
http://arxiv.org/abs/2009.10520
Publikováno v:
IJCNN
2019 International Joint Conference on Neural Networks, IJCNN 2019
2019 International Joint Conference on Neural Networks, IJCNN 2019
We present a method for detection of surface defects in images of 3D-printed products that enables automated visual quality control. The data characterising this problem is typically high-dimensional (high-resolution images), imbalanced (defects are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c900a85c2d444dab807613f6c531271c
https://doi.org/10.1109/ijcnn.2019.8852372
https://doi.org/10.1109/ijcnn.2019.8852372
Publikováno v:
TrustCom/BigDataSE
Proceedings-17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018, 1879-1884
STARTPAGE=1879;ENDPAGE=1884;TITLE=Proceedings-17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018
Proceedings-17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018, 1879-1884
STARTPAGE=1879;ENDPAGE=1884;TITLE=Proceedings-17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018
This paper proposes an alternative approach for evidence based trust computation where the relationship between evidence and trust is learned using an artificial neuron, making it possible to automatically adapt trust computation to different use cas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b626913750374547bc2d9b33cd27964
https://doi.org/10.1109/trustcom/bigdatase.2018.00285
https://doi.org/10.1109/trustcom/bigdatase.2018.00285
Publikováno v:
Joint 13th CTTE and 10th CMI Conference on Internet of Things-Business Models, Users, and Networks, 2018-January
Computational trust aims to quantify trust and is studied by many disciplines including computer science, social sciences and business science. We propose a formal computational trust model, including its parameters and operations on these parameters
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::920ee29cb6b60011cd0691900090e477
https://doi.org/10.1109/ctte.2017.8260936
https://doi.org/10.1109/ctte.2017.8260936