Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Kim Albertsson"'
Publikováno v:
Sensors, Vol 24, Iss 9, p 2921 (2024)
Interoperability is a central problem in digitization and System of Systems (SoS) engineering, which concerns the capacity of systems to exchange information and cooperate. The task to dynamically establish interoperability between heterogeneous cybe
Externí odkaz:
https://doaj.org/article/5abcaddd2c4844ffac1c709123126137
Autor:
ROOT Team, Brann, Kim Albertsson, Amadio, Guilherme, An, Sitong, Bellenot, Bertrand, Blomer, Jakob, Canal, Philippe, Couet, Olivier, Galli, Massimiliano, Guiraud, Enrico, Hageboeck, Stephan, Linev, Sergey, Vila, Pere Mato, Moneta, Lorenzo, Naumann, Axel, Tadel, Alja Mrak, Padulano, Vincenzo Eduardo, Rademakers, Fons, Shadura, Oksana, Tadel, Matevz, Saavedra, Enric Tejedor, Pla, Xavier Valls, Vassilev, Vassil, Wunsch, Stefan
The high energy physics community is discussing where investment is needed to prepare software for the HL-LHC and its unprecedented challenges. The ROOT project is one of the central software players in high energy physics since decades. From its exp
Externí odkaz:
http://arxiv.org/abs/2004.07675
ROOT provides, through TMVA, machine learning tools for data analysis at HEP experiments and beyond. However, with the rapidly evolving ecosystem for machine learning, the focus of TMVA is shifting. In this poster, we present the new developments and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b186caf7eac742fc856f7a3ffece2e99
Autor:
Lorenzo Moneta, Marc Huwiler, Stefan Wunsch, Saurav Shekar, Omar Andres Zapata Mesa, Akshay Vashistha, Victor Estrade, Kim Albertsson, Sergei Gleyzer, Vladimir Ilievski
Publikováno v:
EPJ Web of Conferences, Vol 214, p 06014 (2019)
The Toolkit for Multivariate Analysis, TMVA, the machine learning package integrated into the ROOT data analysis framework, has recently seen improvements to its deep learning module, parallelisation of multivariate methods and cross validation. Perf
Autor:
Sergei Gleyzer, Kim Albertsson, Lorenzo Moneta, Sitong An, Omar Andres Zapata Mesa, Luca Zampieri, Joana Niermann, Stefan Wunsch
Publikováno v:
EPJ Web of Conferences, Vol 245, p 06019 (2020)
ROOT provides, through TMVA, machine learning tools for data analysis at HEP experiments and beyond. We present recently included features in TMVA and the strategy for future developments in the diversified machine learning landscape. Focus is put on
Autor:
Christian Deldicque, G. L. Darlea, Samim Erhan, Olivier Chaze, Luciano Orsini, Kim Albertsson, Konstanty Sumorok, Guillelmo Gomez-Ceballos, André Holzner, Hannes Sakulin, P. Roberts, Benjamin Stieger, Jan Veverka, Ulf Behrens, Frank Glege, S. Zaza, Srecko Morovic, C. Nunez-Barranco-Fernandez, J. G. Branson, J. M. Andre, Anastasios Andronidis, L. Masetti, Emilio Meschi, Andrea Petrucci, A Dupont, Marco Pieri, Vivian O'Dell, Remigius K. Mommsen, Marc Dobson, C. Paus, Sergio Cittolin, Dominique Gigi, Attila Racz, Christoph Schwick, R. Jimenez-Estupiñán, Jeroen Hegeman, Frans Meijers, Petr Zejdl
Publikováno v:
IOP Publishing
The data acquisition system (DAQ) of the CMS experiment at the CERN Large Hadron Collider (LHC) assembles events at a rate of 100 kHz, transporting event data at an aggregate throughput of 100GB/s to the high-level trigger (HLT) farm. The DAQ system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::567e7678ab7588205e31c5110d55250d
http://cds.cern.ch/record/2016891
http://cds.cern.ch/record/2016891
Publikováno v:
MLSP
Sparse signal models with learned dictionaries of morphological features provide efficient codes in a variety of applications. Such models can be useful to reduce sensor data rates and simplify the communication, processing and analysis of informatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71f011559e920ac5d5bf91fccd4cecbd
http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-31288
http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-31288
Autor:
Kim Albertsson, Piero Altoe, Dustin Anderson, Michael Andrews, Juan Pedro Araque Espinosa, Adam Aurisano, Laurent Basara, Adrian Bevan, Wahid Bhimji, Daniele Bonacorsi, Paolo Calafiura, Mario Campanelli, Louis Capps, Federico Carminati, Stefano Carrazza, Taylor Childers, Elias Coniavitis, Kyle Cranmer, Claire David, Douglas Davis
Publikováno v:
Journal of Physics: Conference Series; Oct2018, Vol. 1085 Issue 2, p1-1, 1p