Zobrazeno 1 - 10
of 9 724
pro vyhledávání: '"De Smedt A"'
Autor:
Bosmans, Lien, Peeperkorn, Jari, Goossens, Alexandre, Lugaresi, Giovanni, De Smedt, Johannes, De Weerdt, Jochen
Object-centric process mining is emerging as a promising paradigm across diverse industries, drawing substantial academic attention. To support its data requirements, existing object-centric data formats primarily facilitate the exchange of static ev
Externí odkaz:
http://arxiv.org/abs/2410.00596
Autor:
Cappelle, Jona, Van der Perre, Liesbet, Fitzgerald, Emma, Ravyts, Simon, Gajda, Weronika, De Smedt, Valentijn, Cox, Bert, Callebaut, Gilles
The Internet of Things (IoT) can support the evolution towards a digital and green future. However, the introduction of the technology clearly has in itself a direct adverse ecological impact. This paper assesses this impact at both the IoT-node and
Externí odkaz:
http://arxiv.org/abs/2405.20706
Process mining aims to comprehend and enhance business processes by analyzing event logs. Recently, object-centric process mining has gained traction by considering multiple objects interacting with each other in a process. This object-centric approa
Externí odkaz:
http://arxiv.org/abs/2405.12709
Autor:
Baysal, Hasan Emre, Yu, Tzu-Yi, Naenen, Viktor, De Smedt, Stijn, Hiz, Defne, Zhang, Bokai, Xia, Heyi, Florenciano, Isidro, Rosenthal, Martin, Cardinaels, Ruth, Molina-Lopez, Francisco
The next generation of soft electronics will expand to the third dimension. This will require the integration of mechanically-compliant three-dimensional functional structures with stretchable materials. This study demonstrates omnidirectional direct
Externí odkaz:
http://arxiv.org/abs/2404.12254
In recent years, various machine and deep learning architectures have been successfully introduced to the field of predictive process analytics. Nevertheless, the inherent opacity of these algorithms poses a significant challenge for human decision-m
Externí odkaz:
http://arxiv.org/abs/2403.09232
This study introduces Pedophysics, an open-source Python package designed to facilitate solutions for users who work in the field of soil assessment using near-surface geophysical electromagnetic techniques. At the core of this software is the abilit
Externí odkaz:
http://arxiv.org/abs/2403.07473
Autor:
De Groote S, De Jaeger M, Van Schuerbeek P, Sunaert S, Peeters R, Loeckx D, Goudman L, Forget P, De Smedt A, Moens M
Publikováno v:
Journal of Pain Research, Vol Volume 11, Pp 2517-2526 (2018)
Sander De Groote,1 Mats De Jaeger,1 Peter Van Schuerbeek,2 Stefan Sunaert,3 Ronald Peeters,3 Dirk Loeckx,4 Lisa Goudman,1,5 Patrice Forget,6 Ann De Smedt,7 Maarten Moens1,2,8 1Department of Neurosurgery, Universitair Ziekenhuis Brussel, Brussels, Bel
Externí odkaz:
https://doaj.org/article/b8afea82e1944fd5838c05b7b81b0cef
Organizations execute decisions within business processes on a daily basis whilst having to take into account multiple stakeholders who might require multiple point of views of the same process. Moreover, the complexity of the information systems run
Externí odkaz:
http://arxiv.org/abs/2401.14847
Community detection for time series without prior knowledge poses an open challenge within complex networks theory. Traditional approaches begin by assessing time series correlations and maximizing modularity under diverse null models. These methods
Externí odkaz:
http://arxiv.org/abs/2311.05986
Autor:
Royer, P., Merle, T., Dsilva, K., Sekaran, S., Van Winckel, H., Frémat, Y., Van der Swaelmen, M., Gebruers, S., Tkachenko, A., Laverick, M., Dirickx, M., Raskin, G., Hensberge, H., Abdul-Masih, M., Acke, B., Alonso, M. L., Mahato, S. Bandhu, Beck, P. G., Behara, N., Bloemen, S., Buysschaert, B., Cox, N., Debosscher, J., De Cat, P., Degroote, P., De Nutte, R., De Smedt, K., de Vries, B., Dumortier, L., Escorza, A., Exter, K., Goriely, S., Gorlova, N., Hillen, M., Homan, W., Jorissen, A., Kamath, D., Karjalainen, M., Karjalainen, R., Lampens, P., Lobel, A., Lombaert, R., Marcos-Arenal, P., Menu, J., Merges, F., Moravveji, E., Nemeth, P., Neyskens, P., Ostensen, R., Pápics, P. I., Perez, J., Royer, S. Prins S., Samadi-Ghadim, A., Sana, H., Fuentes, A. Sans, Scaringi, S., Schmid, V., Siess, L., Siopis, C., Smolders, K., Sodor, S., Thoul, A., Triana, S., Vandenbussche, B., Van de Sande, M., Van De Steene, G., Van Eck, S., van Hoof, P. A. M., Van Marle, A. J., Van Reeth, T., Vermeylen, L., Volpi, D., Vos, J., Waelkens, C.
Publikováno v:
A&A 681, A107 (2024)
Over the past decades, libraries of stellar spectra have been used in a large variety of science cases, including as sources of reference spectra for a given object or a given spectral type. Despite the existence of large libraries and the increasing
Externí odkaz:
http://arxiv.org/abs/2311.02705