Search results
- 1.0579028 - FZÚ 2024 RIV US eng J - Journal Article
Aad, G. - Abbott, B. - Abbott, D.C. - Chudoba, Jiří - Hejbal, Jiří - Jačka, Petr - Kepka, Oldřich - Kroll, Jiří - Kupčo, Alexander - Latoňová, Věra - Lokajíček, Miloš - Lysák, Roman - Marčišovský, Michal - Mikeštíková, Marcela - Němeček, Stanislav - Šícho, Petr - Staroba, Pavel - Svatoš, Michal - Taševský, Marek … Total 2914 authors
Observation of the γγ→ττ process in Pb+Pb collisions and constraints on the τ-lepton anomalous magnetic moment with the ATLAS detector.
Physical Review Letters. Roč. 131, č. 15 (2023), č. článku 151802. ISSN 0031-9007. E-ISSN 1079-7114
Research Infrastructure: CERN-CZ III - 90240
Institutional support: RVO:68378271
Keywords : tau: magnetic moment * anomaly * ATLAS * tau: pair production
OECD category: Particles and field physics
Impact factor: 8.6, year: 2022
Method of publishing: Open access
Permanent Link: https://hdl.handle.net/11104/0347907File Download Size Commentary Version Access 0579028.pdf 0 49.6 MB CC Licence Publisher’s postprint open-access - 2.0577938 - ÚTIA 2024 RIV GB eng J - Journal Article
Flusser, M. - Somol, Petr
Efficient anomaly detection through surrogate neural networks.
Neural Computing & Applications. Roč. 34, č. 23 (2022), s. 20491-20505. ISSN 0941-0643. E-ISSN 1433-3058
Institutional support: RVO:67985556
Keywords : Anomaly detector * Neural network * Model transfer * Detector ensemble * High-performance anomaly detection
OECD category: Automation and control systems
Impact factor: 6, year: 2022
Method of publishing: Limited access
http://library.utia.cas.cz/separaty/2023/RO/somol-0577938.pdf https://link.springer.com/article/10.1007/s00521-022-07506-9
Permanent Link: https://hdl.handle.net/11104/0347645 - 3.0568579 - ÚI 2023 RIV CZ eng L4 - Software
Hlinka, Jaroslav - Pidnebesna, Anna - Tani Raffaelli, Giulio - Hartman, David - Převorovský, Zdeněk - Chlada, Milan - Kovanda, Martin - Prášek, P. - Berka, Z. - Svoboda, R.
Library of software modules for detecting extreme events.
Internal code: TN01000024/13-V02 ; 2022
Technical parameters: K dosažení popsaných detekcí jsou použity pokročilé metody využívající konkrétní strukturu problému. Knihovna je navržena v programovacím jazyce Python. Má strukturu centrální části (TN01000024/13-)V2.1 s obecnými analytickými moduly, doplněné specializovaným modulem V2.2 pro analýzu dat z non-destructive testing (NDT), a specializovaným modulem V2.3 pro analýzu video dat.
Economic parameters: Výsledkem je knihovna softwarových modulů schopných detekovat náhlé události a detekovat přechody mezi různými režimy studovaného systému. Klíčovou funkcionalitou je detekce zásadních změn v systému zvolené kritické infrastruktury. Tato schopnost umožňuje operátorům efektivně detekovat extrémní události a stavové přechody. LICENCE: Modul V2.1: GNU Affero General Public License v3.0. Modul V2.2: bez licence, avšak všechna práva vyhrazena. Modul V2.3: Modul pro analýzu videodat je dostupný účastníkům projektu v neveřejném repozitáři, ostatním zájemcům bude nabízen pod komerční licencí.
R&D Projects: GA TA ČR(CZ) TN01000024
Institutional support: RVO:67985807 ; RVO:61388998
Keywords : anomaly detection * non-destructive testing * video analysis * crowd dynamics
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8); Audio engineering, reliability analysis (UT-L)
https://www.ciirc.cvut.cz/research-education/projects/nck-kui/sub13/v2/
Permanent Link: https://hdl.handle.net/11104/0339865 - 4.0558443 - ÚŽFG 2023 RIV US eng J - Journal Article
Svinin, A. - Matushkina, K. - Didukh, Dmitrij - Bashinskiy, I. - Ermakov, O. - Litvinchuk, S.
Strigea robusta (Digenea: Strigeidae) infection effects on the gonadal structure and limb malformation in toad early development.
Journal of Experimental Zoology Part A-Ecological and Integrative Physiology. Roč. 337, č. 6 (2022), s. 675-686. ISSN 2471-5638. E-ISSN 2471-5646
Institutional support: RVO:67985904
Keywords : anomaly P * Bufo Bufotes * host-parasite interactions
OECD category: Biology (theoretical, mathematical, thermal, cryobiology, biological rhythm), Evolutionary biology
Impact factor: 2.8, year: 2022
Method of publishing: Limited access
https://asep.lib.cas.cz/arl-cav/cs/csg/?repo=crepo1&key=96729082281
Permanent Link: http://hdl.handle.net/11104/0332114 - 5.0556785 - ASÚ 2023 RIV NL eng J - Journal Article
Sebera, Josef - Bezděk, Aleš - Ebbing, J.
Satellite magnetic anomalies with a smooth spectral transition to long wavelengths.
Physics of the Earth and Planetary Interiors. Roč. 324, March (2022), č. článku 106843. ISSN 0031-9201. E-ISSN 1872-7395
R&D Projects: GA MŠMT(CZ) LTT18011
Institutional support: RVO:67985815
Keywords : geomagnetic field * magnetic anomaly * iterative filter
OECD category: Physical geography
Impact factor: 2.3, year: 2022
Method of publishing: Limited access
https://doi.org/10.1016/j.pepi.2022.106843
Permanent Link: http://hdl.handle.net/11104/0331651 - 6.0550117 - GFÚ 2022 RIV SK eng J - Journal Article
Godová, D. - Bielik, M. - Hrubcová, Pavla - Šimonová, B. - Dérerová, J. - Pašteka, R.
Lithospheric density model along the CEL09 profile and its geological implications.
Geologica Carpathica. Roč. 72, č. 6 (2021), s. 447-460. ISSN 1335-0552. E-ISSN 1336-8052
Institutional support: RVO:67985530
Keywords : Bouguer anomaly * 2D gravity modelling * CELABRATION 2000 seismic profile CEL09 * Western Carpathians * Bohemian Massif * Pannonian Basin
OECD category: Volcanology
Impact factor: 1.415, year: 2021
Method of publishing: Open access
http://www.geologicacarpathica.com/browse-journal/volumes/72-6/article-991/
Permanent Link: http://hdl.handle.net/11104/0325962File Download Size Commentary Version Access Godova2021GeolCarpathica.pdf 0 1.9 MB Publisher’s postprint open-access - 7.0549285 - MÚ 2022 NL eng J - Journal Article
Sati, H. - Schreiber, Urs
Twisted cohomotopy implies M5-brane anomaly cancellation.
Letters in Mathematical Physics. Roč. 111, č. 5 (2021), č. článku 120. ISSN 0377-9017. E-ISSN 1573-0530
Institutional support: RVO:67985840
Keywords : anomaly cancellation * M5-brane * cohomotopy theory
OECD category: Pure mathematics
Impact factor: 1.520, year: 2021
Method of publishing: Limited access
https://doi.org/10.1007/s11005-021-01452-8
Permanent Link: http://hdl.handle.net/11104/0325309File Download Size Commentary Version Access Schreiber1.pdf 4 651.1 KB Publisher’s postprint require - 8.0542176 - ÚJF 2022 RIV CH eng J - Journal Article
Kovář, P. - Sommer, Marek
CubeSat Observation of the Radiation Field of the South Atlantic Anomaly.
Remote Sensing. Roč. 13, č. 7 (2021), č. článku 1274. E-ISSN 2072-4292
R&D Projects: GA MŠMT EF15_003/0000481
Institutional support: RVO:61389005
Keywords : South Atlantic Anomaly * radiation measurement * CubeSat observation * radiation belts
OECD category: Nuclear physics
Impact factor: 5.349, year: 2021
Method of publishing: Open access
https://doi.org/10.3390/rs13071274
Permanent Link: http://hdl.handle.net/11104/0319663File Download Size Commentary Version Access 0542176.pdf 0 5.2 MB Open Access - CC licence Publisher’s postprint open-access - 9.0536614 - ÚI 2021 RIV DE eng C - Conference Paper (international conference)
Šabata, T. - Holeňa, Martin
Active Learning for LSTM-autoencoder-based Anomaly Detection in Electrocardiogram Readings.
Proceedings of the Workshop on Interactive Adaptive Learning. Aachen: Technical University & CreateSpace Independent Publishing, 2020 - (Kottke, D.; Krempl, G.; Lemaire, V.; Holzinger, A.; Calma, A.), s. 72-77. CEUR Workshop Proceedings, 2660. ISSN 1613-0073.
[IAL 2020: International Workshop on Interactive Adaptive Learning /4./. Virtual Ghent (BE), 14.09.2020-14.09.2020]
R&D Projects: GA ČR(CZ) GA18-18080S
Institutional support: RVO:67985807
Keywords : Active Learning * Anomaly detection * LSTM-Autoencoder * Time series
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://ceur-ws.org/Vol-2660/ialatecml_shortpaper1.pdf
Permanent Link: http://hdl.handle.net/11104/0314366File Download Size Commentary Version Access 0536614-aw.pdf 0 527.4 KB volně online Publisher’s postprint open-access - 10.0532709 - ÚSMH 2021 RIV US eng J - Journal Article
Ambrosino, F. - Thinová, L. - Briestenský, Miloš - Šebela, S. - Sabbarese, C.
Detecting time series anomalies using hybrid methods applied to Radon signals recorded in caves for possible correlation with earthquakes.
Acta Geodaetica et Geophysica. Roč. 55, č. 3 (2020), s. 405-420. ISSN 2213-5812. E-ISSN 2213-5820
R&D Projects: GA MŠMT(CZ) LM2015079
Institutional support: RVO:67985891
Keywords : Time series analysis * Hybrid method * Anomaly detection * Radon as tracer * Earthquake
OECD category: Inorganic and nuclear chemistry
Impact factor: 1.324, year: 2020
Method of publishing: Limited access
https://link.springer.com/article/10.1007/s40328-020-00298-1
Permanent Link: http://hdl.handle.net/11104/0311121