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Akademický článek

Ultra-high-granularity detector simulation with intra-event aware generative adversarial network and self-supervised relational reasoning

Autor: Baran Hashemi, Nikolai Hartmann, Sahand Sharifzadeh, James Kahn, Thomas Kuhr

Publikováno v: Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)

Abstract Simulating high-resolution detector responses is a computationally intensive process that has long been challenging in Particle Physics. Despite the ability of generative models to streamline it, full ultra-high-granularity detector simulati

Externí odkaz: https://doaj.org/article/387323b5ec0b4421b69fc4aed03d2f3d

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Akademický článek

Thermal Bridges on Building Rooftops

Autor: Zoe Mayer, James Kahn, Markus Götz, Yu Hou, Tobias Beiersdörfer, Nicolas Blumenröhr, Rebekka Volk, Achim Streit, Frank Schultmann

Publikováno v: Scientific Data, Vol 10, Iss 1, Pp 1-8 (2023)

Abstract Thermal Bridges on Building Rooftops (TBBR) is a multi-channel remote sensing dataset. It was recorded during six separate UAV fly-overs of the city center of Karlsruhe, Germany, and comprises a total of 926 high-resolution images with 6927

Externí odkaz: https://doaj.org/article/5c619ef8d2644831b86141b5ebb5864f

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Akademický článek

Accelerating neural network training with distributed asynchronous and selective optimization (DASO)

Autor: Daniel Coquelin, Charlotte Debus, Markus Götz, Fabrice von der Lehr, James Kahn, Martin Siggel, Achim Streit

Publikováno v: Journal of Big Data, Vol 9, Iss 1, Pp 1-18 (2022)

Abstract With increasing data and model complexities, the time required to train neural networks has become prohibitively large. To address the exponential rise in training time, users are turning to data parallel neural networks (DPNN) and large-sca

Externí odkaz: https://doaj.org/article/aa27344a1d45457eb832b4a93df6812a

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Akademický článek

Moving away from the 'unit cost'. Predicting country-specific average cost curves of VMMC services accounting for variations in service delivery platforms in sub-Saharan Africa.

Autor: Sergio Bautista-Arredondo, Carlos Pineda-Antunez, Diego Cerecero-Garcia, Drew B Cameron, Lily Alexander, Chris Chiwevu, Steven Forsythe, Michel Tchuenche, William H Dow, James Kahn, Gabriela B Gomez, Anna Vassall, Lori A Bollinger, Carol Levin

Publikováno v: PLoS ONE, Vol 16, Iss 4, p e0249076 (2021)

BackgroundOne critical element to optimize funding decisions involves the cost and efficiency implications of implementing alternative program components and configurations. Program planners, policy makers and funders alike are in need of relevant, s

Externí odkaz: https://doaj.org/article/34d0454f28e24172955e9323473d4dc2

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Soiling determination for parabolic trough collectors based on operational data analysis and machine learning

Autor: Alex Brenner, James Kahn, Tobias Hirsch, Marc Röger, Robert Pitz-Paal

Publikováno v: Solar Energy, 259, 257–276
Solar energy 259, 257-276 (2023). doi:10.1016/j.solener.2023.05.008

Solar energy 259, 257-276 (2023). doi:10.1016/j.solener.2023.05.008
Published by Elsevier Science, Amsterdam [u.a.]

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd68772e0fef0e6cce95409648f993e7

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