Zobrazeno 1 - 10
of 2 782
pro vyhledávání: '"Lobach, A. A."'
Autor:
Lobach, Ihar, Borland, Michael
This research introduces a novel anomaly detection method designed to enhance the operational reliability of particle accelerators - complex machines that accelerate elementary particles to high speeds for various scientific applications. Our approac
Externí odkaz:
http://arxiv.org/abs/2405.18321
Autor:
Olha Lobach
Publikováno v:
Наукові записки НаУКМА: Юридичні науки, Vol 13, Pp 101-103 (2024)
Огляд видання: Ю. Ю. Бакай, Т. В. Курман, О. П. Меше, В. В. Панченко, М. Ю. Покальчук, Н. П. Тищенко, В. П. Станіславський, О. М. Туєва. Науково-практи
Externí odkaz:
https://doaj.org/article/b6520c34c77c471e8fff688a90737c56
Autor:
Barklow, Tim, Gessner, Spencer, Hogan, Mark, Ng, Cho-Kuen, Peskin, Michael, Raubenheimer, Tor, White, Glen, Adli, Erik, Cao, Gevy Jiawei, Lindstrom, Carl A., Sjobak, Kyrre, Barber, Sam, Geddes, Cameron, Formenti, Arianna, Lehe, Remi, Schroeder, Carl, Terzani, Davide, van Tilborg, Jeroen, Vay, Jean-Luc, Zoni, Edoardo, Doss, Chris, Litos, Michael, Lobach, Ihar, Power, John, Swiatlowski, Maximilian, Fedeli, Luca, Vincenti, Henri, Grismayer, Thomas, Vranic, Marija, Zhang, Wenlong
As part of the Snowmass'21 community planning excercise, the Advanced Accelerator Concepts (AAC) community proposed future linear colliders with center-of-mass energies up to 15 TeV and luminosities up to 50$\times10^{34}$ cm$^{-2}$s$^{-1}$ in a comp
Externí odkaz:
http://arxiv.org/abs/2305.00573
Autor:
D. I. Lobach
Publikováno v:
Вестник Дагестанского государственного технического университета: Технические науки, Vol 51, Iss 2, Pp 91-100 (2024)
Objective. The purpose of the theoretical research of the article is to formulate and describe cases in which it is possible to conduct correlation and other types of analysis for some situations to quantify the impact of the human factor on safety o
Externí odkaz:
https://doaj.org/article/3d187f49cba1467d967c6429b22565e9
Autor:
Ihar Lobach, Michael Borland
Publikováno v:
Machine Learning with Applications, Vol 18, Iss , Pp 100585- (2024)
This research illustrates how time-series forecasting employing recurrent neural networks (RNNs) can be used for anomaly detection in particle accelerators—complex machines that accelerate elementary particles to high speeds for various scientific
Externí odkaz:
https://doaj.org/article/7028d477cc4744e6abf749fa72bd5c22
Autor:
Chernov, I. O.1, Lobach, K. V.1 lobach0709@gmail.com, Sayenko, S. Yu.1, Kolodiy, I. V.1, Lytovchenko, S. V.2, Pylypenko, O. V.1, Kholomieiev, H. O.1, Mazilin, B. O.2
Publikováno v:
East European Journal of Physics. 2024, Issue 4, p208-214. 7p.
Publikováno v:
Аграрная наука Евро-Северо-Востока, Vol 25, Iss 3, Pp 415-424 (2024)
The purpose of the research is to study the allergenic and immunotoxic properties of pantohematogen obtained from the blood of female Gorno-Altai maral deer as a functional ingredient of specialized products. Allergenic and immunotoxic properties wer
Externí odkaz:
https://doaj.org/article/7e6ac4140fc2446abac6e03ed0fc77bd
Autor:
D. I. Lobach
Publikováno v:
Вестник Дагестанского государственного технического университета: Технические науки, Vol 51, Iss 1, Pp 132-141 (2024)
Objective. The purpose of theoretical research is the need to formulate and describe additional approaches and topical issues and tasks when conducting an expert assessment of group (collective) aspects of the human factor's influence on the safety o
Externí odkaz:
https://doaj.org/article/b0e7b94b13a54f67841f53dfec03b232
Autor:
Jarvis, J., Lebedev, V., Romanov, A., Broemmelsiek, D., Carlson, K., Chattopadhyay, S., Dick, A., Edstrom, D., Lobach, I., Nagaitsev, S., Piekarz, H., Piot, P., Ruan, J., Santucci, J., Stancari, G., Valishev, A.
Optical Stochastic Cooling (OSC) is an optical-bandwidth extension of Stochastic Cooling that could advance the state-of-the-art cooling rate in beam cooling by three to four orders of magnitude [1-3]. The concept of OSC was first suggested in the ea
Externí odkaz:
http://arxiv.org/abs/2204.05375
Autor:
Lobach, Ihar, Borland, Michael
Publikováno v:
In Machine Learning with Applications December 2024 18