Zobrazeno 1 - 10
of 6 444
pro vyhledávání: '"P. Jessen"'
Autor:
Peters, Mads Svanborg, Ahlebæk, Mads Juul, Frandsen, Mads Toudal, Jørgensen, Bjarke, Jessen, Christian Hald, Carlsen, Andreas Krogh, Huang, Wei-Chih, Eriksen, René Lynge
In this paper, a recently developed snapshot hyperspectral imaging (HSI) system based on Computed Tomography Imaging Spectroscopy (CTIS) is utilized to determine Brix and pH values in Sheegene 20 table grapes through Partial Least Squares Regression
Externí odkaz:
http://arxiv.org/abs/2411.03114
Autor:
Ebrahem, Adnan, Hohl, Jannes, Jessen, Etienne, Eikelder, Marco F. P. ten, Schillinger, Dominik
We present a framework for modeling liver regrowth on the organ scale that is based on three components: (1) a multiscale perfusion model that combines synthetic vascular tree generation with a multi-compartment homogenized flow model, including a ho
Externí odkaz:
http://arxiv.org/abs/2410.19529
The understanding of the mechanisms driving vascular development is still limited. Techniques to generate vascular trees synthetically have been developed to tackle this problem. However, most algorithms are limited to single trees inside convex perf
Externí odkaz:
http://arxiv.org/abs/2410.06002
Autor:
Jessen, Urszula, Fahland, Dirk
Anomalies in complex industrial processes are often obscured by high variability and complexity of event data, which hinders their identification and interpretation using process mining. To address this problem, we introduce WISE (Weighted Insights f
Externí odkaz:
http://arxiv.org/abs/2410.04387
Autor:
Bøggild, Peter, Booth, Timothy John, Lassaline, Nolan, Jessen, Bjarke Sørensen, Shivayogimath, Abhay, Hofmann, Stephan, Daasbjerg, Kim, Smith, Anders, Nørgaard, Kasper, Zurutuza, Amaia, Asselberghs, Inge, Barkan, Terrance, Taboryski, Rafael, Pollard, Andrew J.
2D materials research has reached significant scientific milestones, accompanied by a rapidly growing industrial sector in the two decades since the field's inception. Such rapid progress requires pushing past the boundary of what is technically and
Externí odkaz:
http://arxiv.org/abs/2409.18994
Autor:
Zhao, Yuhao, Kapfer, Maëlle, Watanabe, Kenji, Taniguchi, Takashi, Zilberberg, Oded, Jessen, Bjarke S.
Harnessing graphene devices for applications relies on a comprehensive understanding of how to interact with them. Specifically, scattering processes at the interface with metallic contacts can induce reproducible abnormalities in measurements. Here,
Externí odkaz:
http://arxiv.org/abs/2408.10973
Autor:
Berti, Alessandro, Maatallah, Mayssa, Jessen, Urszula, Sroka, Michal, Ghannouchi, Sonia Ayachi
Large Language Models (LLMs) have emerged as powerful conversational interfaces, and their application in process mining (PM) tasks has shown promising results. However, state-of-the-art LLMs struggle with complex scenarios that demand advanced reaso
Externí odkaz:
http://arxiv.org/abs/2408.07720
Object-centric event logs, allowing events related to different objects of different object types, represent naturally the execution of business processes, such as ERP (O2C and P2P) and CRM. However, modeling such complex information requires novel p
Externí odkaz:
http://arxiv.org/abs/2407.09023
Autor:
Soranzio, Davide, Puntel, Denny, Tuniz, Manuel, Majchrzak, Paulina E., Milloch, Alessandra, Olsen, Nicholas M., Bronsch, Wibke, Jessen, Bjarke S., Fainozzi, Danny, Cresi, Jacopo S. Pelli, De Angelis, Dario, Foglia, Laura, Mincigrucci, Riccardo, Zhu, Xiaoyang, Dean, Cory R., Ulstrup, Søren, Banfi, Francesco, Giannetti, Claudio, Parmigiani, Fulvio, Bencivenga, Filippo, Cilento, Federico
Understanding the thermoelastic response of a nanostructure is crucial for the choice of materials and interfaces in electronic devices with improved and tailored transport properties, at the length scales of the present technology. Here we show how
Externí odkaz:
http://arxiv.org/abs/2403.19255
Named entity recognition is one of the cornerstones of Danish NLP, essential for language technology applications within both industry and research. However, Danish NER is inhibited by a lack of available datasets. As a consequence, no current models
Externí odkaz:
http://arxiv.org/abs/2402.18209