Ryšavý podzim

Autor: Jesenin Sergej Aleksandrovič

Externí odkaz: http://krameriusndk.mzk.cz/search/handle/uuid:38c38a30-7e82-11ec-b436-5ef3fc9bb22f

Learning Dynamic Bayesian Networks from Data: Foundations, First Principles and Numerical Comparisons

Autor: Kungurtsev, Vyacheslav, Idlahcen, Fadwa, Rysavy, Petr, Rytir, Pavel, Wodecki, Ales

In this paper, we present a guide to the foundations of learning Dynamic Bayesian Networks (DBNs) from data in the form of multiple samples of trajectories for some length of time. We present the formalism for a generic as well as a set of common typ

Externí odkaz: http://arxiv.org/abs/2406.17585

Direct neutrino-mass measurement based on 259 days of KATRIN data

Autor: Aker, M., Batzler, D., Beglarian, A., Behrens, J., Beisenkötter, J., Biassoni, M., Bieringer, B., Biondi, Y., Block, F., Bobien, S., Böttcher, M., Bornschein, B., Bornschein, L., Caldwell, T. S., Carminati, M., Chatrabhuti, A., Chilingaryan, S., Daniel, B. A., Debowski, K., Descher, M., Barrero, D. Díaz, Doe, P. J., Dragoun, O., Drexlin, G., Edzards, F., Eitel, K., Ellinger, E., Engel, R., Enomoto, S., Felden, A., Fengler, C., Fiorini, C., Formaggio, J. A., Forstner, C., Fränkle, F. M., Gauda, K., Gavin, A. S., Gil, W., Glück, F., Grohmann, S., Grössle, R., Gumbsheimer, R., Gutknecht, N., Hannen, V., Hasselmann, L., Haußmann, N., Helbing, K., Henke, H., Heyns, S., Hickford, S., Hiller, R., Hillesheimer, D., Hinz, D., Höhn, T., Huber, A., Jansen, A., Karl, C., Kellerer, J., Khosonthongkee, K., Kleifges, M., Klein, M., Kohpeiß, J., Köhler, C., Köllenberger, L., Kopmann, A., Kovač, N., Kovalík, A., Krause, H., La Cascio, L., Lasserre, T., Lauer, J., Le, T., Lebeda, O., Lehnert, B., Li, G., Lokhov, A., Machatschek, M., Mark, M., Marsteller, A., Martin, E. L., Melzer, C., Mertens, S., Mohanty, S., Mostafa, J., Müller, K., Nava, A., Neumann, H., Niemes, S., Onillon, A., Parno, D. S., Pavan, M., Pinsook, U., Poon, A. W. P., Poyato, J. M. Lopez, Pozzi, S., Priester, F., Ráliš, J., Ramachandran, S., Robertson, R. G. H., Rodenbeck, C., Röllig, M., Röttele, C., Ryšavý, M., Sack, R., Saenz, A., Salomon, R., Schäfer, P., Schlösser, M., Schlösser, K., Schlüter, L., Schneidewind, S., Schnurr, U., Schrank, M., Schürmann, J., Schütz, A., Schwemmer, A., Schwenck, A., Šefčík, M., Siegmann, D., Simon, F., Spanier, F., Spreng, D., Sreethawong, W., Steidl, M., Štorek, J., Stribl, X., Sturm, M., Suwonjandee, N., Jerome, N. Tan, Telle, H. H., Thorne, L. A., Thümmler, T., Tirolf, S., Titov, N., Tkachev, I., Urban, K., Valerius, K., Vénos, D., Weinheimer, C., Welte, S., Wendel, J., Wiesinger, C., Wilkerson, J. F., Wolf, J., Wüstling, S., Wydra, J., Xu, W., Zadorozhny, S., Zeller, G.

The fact that neutrinos carry a non-vanishing rest mass is evidence of physics beyond the Standard Model of elementary particles. Their absolute mass bears important relevance from particle physics to cosmology. In this work, we report on the search

Externí odkaz: http://arxiv.org/abs/2406.13516

Joint Problems in Learning Multiple Dynamical Systems

Autor: Niu, Mengjia, He, Xiaoyu, Ryšavý, Petr, Zhou, Quan, Marecek, Jakub

Clustering of time series is a well-studied problem, with applications ranging from quantitative, personalized models of metabolism obtained from metabolite concentrations to state discrimination in quantum information theory. We consider a variant,

Externí odkaz: http://arxiv.org/abs/2311.02181

Combined control of PM and NOx emissions from small-scale combustions by electrostatic precipitation

Autor: Oleksandr Molchanov, Kamil Krpec, Jiří Horák, Lenka Kubonová, František Hopan, Jiří Ryšavý

Publikováno v: Results in Engineering, Vol 24, Iss , Pp 103255- (2024)

Electrostatic precipitators (ESPs) have demonstrated promise in reducing particulate matter (PM) emissions, but their potential for simultaneously reducing NOx in small-scale combustion systems remains largely unexplored. This study examines the pote

Externí odkaz: https://doaj.org/article/db2e61968a5c4429b78b602b5b9d810e