Zobrazeno 1 - 10
of 1 629
pro vyhledávání: '"Omlin, A."'
Autor:
Asres, Mulugeta Weldezgina, Omlin, Christian Walter, Wang, Long, Parygin, Pavel, Yu, David, Dittmann, Jay, Collaboration, The CMS-HCAL
The proliferation of sensors brings an immense volume of spatio-temporal (ST) data in many domains for various purposes, including monitoring, diagnostics, and prognostics applications. Data curation is a time-consuming process for a large volume of
Externí odkaz:
http://arxiv.org/abs/2408.16612
Autor:
Asres, Mulugeta Weldezgina, Omlin, Christian Walter, Dittmann, Jay, Parygin, Pavel, Hiltbrand, Joshua, Cooper, Seth I., Cummings, Grace, Yu, David
Identifying outlier behavior among sensors and subsystems is essential for discovering faults and facilitating diagnostics in large systems. At the same time, exploring large systems with numerous multivariate data sets is challenging. This study pre
Externí odkaz:
http://arxiv.org/abs/2404.08453
Autor:
Asres, Mulugeta Weldezgina, Omlin, Christian Walter, Wang, Long, Yu, David, Parygin, Pavel, Dittmann, Jay, Karapostoli, Georgia, Seidel, Markus, Venditti, Rosamaria, Lambrecht, Luka, Usai, Emanuele, Ahmad, Muhammad, Menendez, Javier Fernandez, Maeshima, Kaori, Collaboration, the CMS-HCAL
The compact muon solenoid (CMS) experiment is a general-purpose detector for high-energy collision at the large hadron collider (LHC) at CERN. It employs an online data quality monitoring (DQM) system to promptly spot and diagnose particle data acqui
Externí odkaz:
http://arxiv.org/abs/2311.04190
Autor:
Stefanie Fischer, Silke Gillessen, Odile Stalder, Angelika Terbuch, Richard Cathomas, Florian A. Schmid, Deborah Zihler, Beat Müller, Christian D. Fankhauser, Anita Hirschi-Blickenstorfer, Luis Alex Kluth, Bettina Seifert, Arnoud J. Templeton, Walter Mingrone, Mark-Peter Ufe, Natalie Fischer, Jörg Beyer, Regina Woelky, Aurelius Omlin, Ursula Vogl, Katharina Hoppe, Jörn Kamradt, Sacha I. Rothschild, Christian Rothermundt
Publikováno v:
European Urology Open Science, Vol 68, Iss , Pp 68-74 (2024)
Background and objective: Follow-up for patients with testicular cancer should ensure early detection of relapses. Optimal schedules and minimum requirements for cross-sectional imaging are not clearly defined, and guideline recommendations differ. O
Externí odkaz:
https://doaj.org/article/cf3f1f7b4c80443686e599e578c8dbdd
Autor:
Franco, Muriel Figueredo, Omlin, Christian, Kamer, Oliver, Scheid, Eder John, Stiller, Burkhard
Cybersecurity planning is challenging for digitized companies that want adequate protection without overspending money. Currently, the lack of investments and perverse economic incentives are the root cause of cyberattacks, which results in several e
Externí odkaz:
http://arxiv.org/abs/2304.07909
We present a straightforward approach for distributed parallelization of stencil-based xPU applications on a regular staggered grid, which is instantiated in the package ImplicitGlobalGrid.jl. The approach allows to leverage remote direct memory acce
Externí odkaz:
http://arxiv.org/abs/2211.15716
Autor:
Omlin, Samuel, Räss, Ludovic
We present an efficient approach for writing architecture-agnostic parallel high-performance stencil computations in Julia, which is instantiated in the package ParallelStencil.jl. Powerful metaprogramming, costless abstractions and multiple dispatch
Externí odkaz:
http://arxiv.org/abs/2211.15634
Autor:
Churavy, Valentin, Godoy, William F, Bauer, Carsten, Ranocha, Hendrik, Schlottke-Lakemper, Michael, Räss, Ludovic, Blaschke, Johannes, Giordano, Mosè, Schnetter, Erik, Omlin, Samuel, Vetter, Jeffrey S., Edelman, Alan
The Julia programming language has evolved into a modern alternative to fill existing gaps in scientific computing and data science applications. Julia leverages a unified and coordinated single-language and ecosystem paradigm and has a proven track
Externí odkaz:
http://arxiv.org/abs/2211.02740
Crowd anomaly detection is one of the most popular topics in computer vision in the context of smart cities. A plethora of deep learning methods have been proposed that generally outperform other machine learning solutions. Our review primarily discu
Externí odkaz:
http://arxiv.org/abs/2210.13927
Autor:
Vishwanath, Ajay, Bøhn, Einar Duenger, Granmo, Ole-Christoffer, Maree, Charl, Omlin, Christian
Machine ethics has received increasing attention over the past few years because of the need to ensure safe and reliable artificial intelligence (AI). The two dominantly used theories in machine ethics are deontological and utilitarian ethics. Virtue
Externí odkaz:
http://arxiv.org/abs/2208.14037