CERN Accelerating science

CERN Document Server 2,024 εγγραφές βρέθηκαν  1 - 10επόμενοτέλος  μετάβαση στην εγγραφή: Η έρευνα πήρε 0.68 δευτερόλεπτα. 
1.
Convolutional Neural Network for Image Recognition / Seifnashri, Sahand (CERN)
The aim of this project is to use machine learning techniques especially Convolutional Neural Networks for image processing. [...]
CERN-STUDENTS-Note-2015-029.
- 2015
2.
Convolutional Neural Networks for Shelter Recognition in Satellite Images of Refugee Camps / Lacroix, Nathan Jean C (speaker)
2018 - 293. CERN openlab Summer Student programme 2018; CERN openlab summer students' lightning talks 1 External links: Talk details; Event details In : CERN openlab summer students' lightning talks 1
3.
Graph Generative Adversarial Networks for Sparse Data Generation in High Energy Physics / Kansal, Raghav (UC, San Diego) ; Duarte, Javier (UC, San Diego) ; Orzari, Breno (Sao Paulo State U.) ; Tomei, Thiago (Sao Paulo State U.) ; Pierini, Maurizio (CERN) ; Touranakou, Mary (CERN) ; Vlimant, Jean-Roch (Caltech) ; Gunopulos, Dimitrios (Athens Natl. Capodistrian U.)
We develop a graph generative adversarial network to generate sparse data sets like those produced at the CERN Large Hadron Collider (LHC). [...]
arXiv:2012.00173.
- 9 p.
Fulltext
4.
Neural networks and calorimeter cluster recognition / Altherr, Tanguy ; Seixas, J C
CERN-TH-5758-90.- Geneva : CERN, 1990 - 5 p. Fulltext: PDF;
In : 1st International Workshop on Software Engineering, Artificial Intelligence and Expert Systems in High-energy and Nuclear Physics, Lyons, France, 19 - 24 Mar 1990, pp.511-515 - CERN library copies
5.
A Neural System for the Patterns Recognition of Remote Sensing Images / Gonçalves, M L
1998
In : 5th International Conference on Neural Information Processing : ICONIP '98, Kitakyushu, Japan, 21 - 23 Oct 1998, pp.360-363
6.
Rutherford’s Nobel Prize and the one he didn’t get
Published in: CERN Courier Volume 48, Number 10, December 2008
Geneva : CERN, 2008
7.
Jet Reconstruction in the ATLAS Level-1 Calorimeter Trigger with Deep Artificial Neural Networks / Schlag, Bastian
In the upcoming years, the planned upgrades of the Large Hadron Collider (LHC) at the European Organization for Nuclear Research CERN will result in never before reached luminosities and very high pile-up conditions and will thus impose new chal- lenges on the experimental setups of the four big det [...]
CERN-THESIS-2018-388 - 111 p.

Fulltext
8.
Bottom jet recognition by neural networks and statistical discriminants : a survey / Mazzanti, P ; Odorico, R
DFUB-92-15.
- 1992. - 30 p.
CERN library copies
9.
Target recognition using constructive neural networks / Vargas, E C
1998
In : 2nd Latino-American Seminar on Radar Remote Sensing : Image Processing Techniques, Santos, Brazil, 11 - 12 Sep 1998, pp.83-90
10.
Identifying Regions of Interest in the ATLAS Calorimeter with Deep Convolutional Neural Networks in Real Time. / Bozianu, Leon (Universite de Geneve (CH)) ; Antel, Claire (Universite de Geneve (CH)) ; Moors, Mathias Eddy E (Universite de Geneve (CH)) ; Sfyrla, Anna (Universite de Geneve (CH)) ; Schramm, Steven (Universite de Geneve (CH)) ; Oliveira Damazio, Denis (Brookhaven National Laboratory (US)) /ATLAS Collaboration
Clustering of calorimetric signals in the ATLAS detector has typically been performed using the topocluster algorithm, where clusters develop iteratively according to geometric cell significance patterns. The current topoclustering algorithm is among the slowest calorimeter algorithms used in the ATLAS high-level trigger. [...]
ATL-DAQ-SLIDE-2024-212.- Geneva : CERN, 2024 - 1 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)

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