Zobrazeno 1 - 10
of 65
pro vyhledávání: '"H. Spreeuw"'
Autor:
Štefan Dlugolinský, Maximilian Höb, Bartosz Wilk, Jörg Pancake-Steeg, Martin Bobák, Stefan Spahr, Reginald Cushing, Adam Belloum, Marian Bubak, Jason Maassen, Nils gentschen Felde, Ladislav Hluchý, Ondrej Habala, Piotr Nowakowski, Viet Tran, H. Spreeuw, Giang Nguyen, Jan Schmidt, Martin Seleng, Henning Müller, Matti Heikkurinen, Jan Meizner, Mara Graziani, Katarzyna Rycerz
Publikováno v:
Recent Advances in Intelligent Engineering-Volume Dedicated to Imre J. Rudas’ Seventieth Birthday
Recent Advances in Intelligent Engineering ISBN: 9783030143497
Topics in Intelligent Engineering and Informatics
Topics in Intelligent Engineering and Informatics-Recent Advances in Intelligent Engineering
Recent Advances in Intelligent Engineering ISBN: 9783030143497
Topics in Intelligent Engineering and Informatics
Topics in Intelligent Engineering and Informatics-Recent Advances in Intelligent Engineering
Exascale services bring new unique challenges that the current computational, big data and workflow solutions are unable to meet. The chapter includes a detailed description of selected exascale services with known state of the art in extreme date so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b05178b65dee3ba01753258dc32cebcc
Publikováno v:
Monthly Notices of the Royal Astronomical Society, 475(1), 708-715. Oxford University Press
New and upcoming radio interferometers will produce unprecedented amounts of data that demand extremely powerful computers for processing. This is a limiting factor due to the large computational power and energy costs involved. Such limitations rest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31f207f0ec482ca284d3aadaa2419985
https://hdl.handle.net/11370/b71fbafd-4c5e-41cf-a2f0-485425e7e220
https://hdl.handle.net/11370/b71fbafd-4c5e-41cf-a2f0-485425e7e220
Publikováno v:
DSW
We present a stochastic, limited-memory Broyden Fletcher Goldfarb Shanno (LBFGS) algorithm that is suitable for handling very large amounts of data. A direct application of this algorithm is radio interferometric calibration of raw data at fine time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4699366164db3b229e9b90364027c69
Autor:
P. Gonzalez, Igor Olaciregui-Ruiz, R. Rozendaal, H. Spreeuw, Ben J. Mijnheer, Anton Mans, Marcel van Herk
Publikováno v:
Medical Physics. 43:3969-3974
Purpose: Delivery errors during radiotherapy may lead to medical harm and reduced life expectancy for patients. Such serious incidents can be avoided by performing dose verification online, i.e., while the patient is being irradiated, creating the po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::882e2db8a31815d7fe8f509d7e032075
https://doi.org/10.1118/1.4952729
https://doi.org/10.1118/1.4952729
Autor:
Jurriaan H. Spaaks, Justin J. J. van der Hooft, Cunliang Geng, Adam Belloum, Stefan Verhoeven, H. Spreeuw, Christiaan Meijer, Florian Huber, Simon Rogers, Faruk Diblen, Efraín Manuel Villanueva Castilla
Publikováno v:
The Journal of Open Source Software 5 (2020) 52
The Journal of Open Source Software, 5(52)
The Journal of Open Source Software, 5(52)
SummaryMass spectrometry data is at the heart of numerable applications in the biomedical and life sciences. With growing use of high throughput techniques researchers need to analyse larger and more complex datasets. In particular through joint effo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::986047e1e1e1ef732ba065928d6c7ef6
https://doi.org/10.21105/joss.02411
https://doi.org/10.21105/joss.02411
Publikováno v:
eScience
We have modified the LBFGS optimizer in PyTorch based on our knowledge in using the LBFGS algorithm in radio interferometric calibration (SAGECal). We give results to show the performance improvement of PyTorch in various machine learning application
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63f2492bbba87266bd0ad6a826604d1c
https://doi.org/10.1109/escience.2018.00112
https://doi.org/10.1109/escience.2018.00112
Autor:
Igor Olaciregui-Ruiz, R. Rozendaal, Ben J. Mijnheer, Ali Jomehzadeh, H. Spreeuw, Anton Mans, Parvaneh Shokrani, P. Gonzalez, R. Tielenburg
Publikováno v:
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB). 54
Purpose To investigate the effectiveness of an EPID-based 3D transit dosimetry system in detecting deliberately introduced errors during VMAT delivery. Methods An Alderson phantom was irradiated using four VMAT treatment plans (one prostate, two head
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::adde10900fa2c832e1c463923735b550
https://pubmed.ncbi.nlm.nih.gov/30337003
https://pubmed.ncbi.nlm.nih.gov/30337003
Autor:
A. J. van der Horst, H. Garsden, John D. Swinbank, Gijs Molenaar, H. Spreeuw, E. Rol, Antonia Rowlinson, D. Carbone, Ralph A. M. J. Wijers, J. W. Broderick, Casey J. Law
Publikováno v:
Astronomy and Computing, 23, 92-102. Elsevier
PySE is a Python software package for finding and measuring sources in radio telescope images. The software was designed to detect sources in the LOFAR telescope images, but can be used with images from other radio telescopes as well. We introduce th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db3bd71df246cbd9e54a7fc8e637a525
https://dare.uva.nl/personal/pure/en/publications/pyse-software-for-extracting-sources-from-radio-images(d9d2dd31-ed7b-465d-91e0-f2a7f7b064d7).html
https://dare.uva.nl/personal/pure/en/publications/pyse-software-for-extracting-sources-from-radio-images(d9d2dd31-ed7b-465d-91e0-f2a7f7b064d7).html
Publikováno v:
2018 2nd URSI Atlantic Radio Science Meeting (AT-RASC): Gran Canaria, Spain, 28 May-1 June 2018, 2
Radio Frequency Interference (RFI) mitigation is extremely important to take advantage of the vastly improved bandwidth, sensitivity, and field-of-view of modern radio telescopes like LOFAR, Apertif (WSRT) and SKA. Due to the high bandwidth requireme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1379517848af970c6a0f23ac7e793a39
https://doi.org/10.23919/ursi-at-rasc.2018.8471446
https://doi.org/10.23919/ursi-at-rasc.2018.8471446
Autor:
Rudy Wijnands, Hugh Garsden, Benjamin Stappers, Casey J. Law, Jochen Eislöffel, Heino Falcke, E. Rol, John D. Swinbank, Adam Stewart, Rene P. Breton, Jason W. T. Hessels, Rob Fender, Philippe Zarka, Stephane Corbel, D. Carbone, Bart Scheers, Martin Bell, Y. Cendes, J. W. Broderick, Antonia Rowlinson, Ralph A. M. J. Wijers, Tim D. Staley, Jean-Mathias Grießmeier, Michael W. Wise, Alexander J. van der Horst, Gijs Molenaar, H. Spreeuw
Publikováno v:
Astronomy and Computing, 11, 25-48
Astronomy and Computing, 11, A, pp. 25-48
Astronomy and Computing
Astronomy and Computing, Elsevier 2015, 11 (Part A), pp.25-48. ⟨10.1016/j.ascom.2015.03.002⟩
Astronomy and Computing, 2015, 11 (Part A), pp.25-48. ⟨10.1016/j.ascom.2015.03.002⟩
Astronomy and Computing, 11(A), 25-48
Astronomy and Computing, 11(A), 25-48. Elsevier
Astronomy and Computing, 11, A, pp. 25-48
Astronomy and Computing
Astronomy and Computing, Elsevier 2015, 11 (Part A), pp.25-48. ⟨10.1016/j.ascom.2015.03.002⟩
Astronomy and Computing, 2015, 11 (Part A), pp.25-48. ⟨10.1016/j.ascom.2015.03.002⟩
Astronomy and Computing, 11(A), 25-48
Astronomy and Computing, 11(A), 25-48. Elsevier
Current and future astronomical survey facilities provide a remarkably rich opportunity for transient astronomy, combining unprecedented fields of view with high sensitivity and the ability to access previously unexplored wavelength regimes. This is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80f9336de3f897a160210ff512354c34
https://doi.org/10.1016/j.ascom.2015.03.002
https://doi.org/10.1016/j.ascom.2015.03.002