Zobrazeno 1 - 10
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pro vyhledávání: '"Zelenka, P."'
Searching the data of gravitational-wave detectors for signals from compact binary mergers is a computationally demanding task. Recently, machine learning algorithms have been proposed to address current and future challenges. However, the results of
Externí odkaz:
http://arxiv.org/abs/2402.07492
Autor:
Tomáš Zelenka, Matej Baláž, Marta Férová, Pavel Diko, Jozef Bednarčík, Alexandra Királyová, Ľuboš Zauška, Radovan Bureš, Pooja Sharda, Nikolas Király, Aleš Badač, Jana Vyhlídalová, Milica Želinská, Miroslav Almáši
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract In this study, we explore the mechanical treatment of two metal–organic frameworks (MOFs), HKUST-1 and MOF-76, applying various milling methods to assess their impact on stability, porosity, and CO2 adsorption capacity. The effects of diff
Externí odkaz:
https://doaj.org/article/3977e86f5f7a4f31a21769a2e5ec49d5
In the field of image classification, existing methods often struggle with biased or ambiguous data, a prevalent issue in real-world scenarios. Current strategies, including semi-supervised learning and class blending, offer partial solutions but lac
Externí odkaz:
http://arxiv.org/abs/2306.12189
Autor:
Schmarje, Lars, Grossmann, Vasco, Michels, Tim, Nazarenus, Jakob, Santarossa, Monty, Zelenka, Claudius, Koch, Reinhard
High-quality data is crucial for the success of machine learning, but labeling large datasets is often a time-consuming and costly process. While semi-supervised learning can help mitigate the need for labeled data, label quality remains an open issu
Externí odkaz:
http://arxiv.org/abs/2305.12811
Group Anomaly Detection (GAD) identifies unusual pattern in groups where individual members might not be anomalous. This task is of major importance across multiple disciplines, in which also sequences like trajectories can be considered as a group.
Externí odkaz:
http://arxiv.org/abs/2303.09841
Autor:
Schäfer, Marlin B., Zelenka, Ondřej, Nitz, Alexander H., Wang, He, Wu, Shichao, Guo, Zong-Kuan, Cao, Zhoujian, Ren, Zhixiang, Nousi, Paraskevi, Stergioulas, Nikolaos, Iosif, Panagiotis, Koloniari, Alexandra E., Tefas, Anastasios, Passalis, Nikolaos, Salemi, Francesco, Vedovato, Gabriele, Klimenko, Sergey, Mishra, Tanmaya, Brügmann, Bernd, Cuoco, Elena, Huerta, E. A., Messenger, Chris, Ohme, Frank
We present the results of the first Machine Learning Gravitational-Wave Search Mock Data Challenge (MLGWSC-1). For this challenge, participating groups had to identify gravitational-wave signals from binary black hole mergers of increasing complexity
Externí odkaz:
http://arxiv.org/abs/2209.11146
Autor:
Zelenka, Claudius, Kamp, Marius, Strohm, Kolja, Kadoura, Akram, Johny, Jacob, Koch, Reinhard, Kienle, Lorenz
Accurately measuring the size, morphology, and structure of nanoparticles is very important, because they are strongly dependent on their properties for many applications. In this paper, we present a deep-learning based method for nanoparticle measur
Externí odkaz:
http://arxiv.org/abs/2207.14023
Autor:
Schmarje, Lars, Grossmann, Vasco, Zelenka, Claudius, Dippel, Sabine, Kiko, Rainer, Oszust, Mariusz, Pastell, Matti, Stracke, Jenny, Valros, Anna, Volkmann, Nina, Koch, Reinhard
High-quality data is necessary for modern machine learning. However, the acquisition of such data is difficult due to noisy and ambiguous annotations of humans. The aggregation of such annotations to determine the label of an image leads to a lower d
Externí odkaz:
http://arxiv.org/abs/2207.06214
Autor:
Szymon Bernat, Francesca Di Bartolomeo, Sergio Armada, Emil Valaker, Nemailla Bonturi, Deni Koseto, Tone Haugen, Ann-Karin Kvernbråten, Petr Stavárek, Marek Večeř, Ladislav Zelenka
Publikováno v:
Green Chemistry Letters and Reviews, Vol 17, Iss 1 (2024)
ABSTRACTMineral oil-derived lubricants, extracted from fossil fuels, account for approximately 90% of the lubricant market. A large proportion of these lubricants end up in the environment through usage, spillage, and disposal, leading to contaminati
Externí odkaz:
https://doaj.org/article/4ec2becb20444688af7e9f8191967300
Autor:
Barbora Dvořáková, Jaroslav Holuša, Jakub Horák, Jaromír Hradecký, Michal Bledý, Martin Zelenka
Publikováno v:
Frontiers in Forests and Global Change, Vol 7 (2024)
IntroductionAs a result of climate change and bark beetle outbreaks in forests, extensive salvage, and sanitary cutting have been undertaken in Europe, resulting in many clear-cuts with coarse stumps. The populations of pine weevils (Hylobius abietis
Externí odkaz:
https://doaj.org/article/6e932d5dabe64e609b80c0da201977b8