Zobrazeno 1 - 10
of 34 582
pro vyhledávání: '"A priori and a posteriori"'
Autor:
Xiao Zhang
Publikováno v:
Boundary Value Problems, Vol 2024, Iss 1, Pp 1-19 (2024)
Abstract This research studies the inverse boundary value problem for fractional elliptic equation of Tricomi–Gellerstedt–Keldysh type and obtains a condition stability result. To recover the continuous dependence of the solution on the measureme
Externí odkaz:
https://doaj.org/article/f717fbcdd9204efdab891b3e9834611f
Autor:
Schurz, Gerhard, author
Publikováno v:
Optimality Justifications : New Foundations for Epistemology, 2024, ill.
Externí odkaz:
https://doi.org/10.1093/oso/9780198887546.003.0007
Autor:
Andrishko, Oleh, Popovskyi, Anatolii
Publikováno v:
Academic Journal of Modern Philology. (15):49-59
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1115694
Autor:
Josef Hasslberger
Publikováno v:
Fluids, Vol 8, Iss 8, p 219 (2023)
Following the relative success of mixed models in the Large Eddy Simulation of complex turbulent flow configurations, an alternative formulation is suggested here which incorporates the concept of a local subgrid activity sensor. The general idea of
Externí odkaz:
https://doaj.org/article/5698ec6b19c34819ac053257f2a50e6b
Autor:
Viktor N. Orlov, Oleg A. Kovalchuk
Publikováno v:
Vestnik Samarskogo Gosudarstvennogo Tehničeskogo Universiteta. Seriâ: Fiziko-Matematičeskie Nauki, Vol 25, Iss 2, Pp 381-392 (2021)
The paper gives a solution to one of the problems of the analytical approximate method for one class first order nonlinear differential equations with moving singular points in the real domain. The considered equation in the general case is not solva
Externí odkaz:
https://doaj.org/article/5e053060a90043178fa056693288551a
Autor:
Vicente Liern, Blanca Pérez-Gladish
Publikováno v:
IEEE Transactions on Engineering Management. 70:1871-1880
Composite indicators have been widely used in a large number of fields, including innovation and entrepreneurship as a useful tool for conveying summary information about overall performance in a relatively simple way. The construction of composite i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7268474762618c9fd565f131bbd90c41
https://doi.org/10.1109/tem.2021.3090155
https://doi.org/10.1109/tem.2021.3090155
Autor:
Jairo Giraldo, Gilberto Diaz-Garcia, Alvaro A. Cardenas, Luis Felipe Giraldo, Gabriel Narvaez
Publikováno v:
IEEE Transactions on Cybernetics. 53:2717-2726
The consensus problem is relevant to different areas ranging from biology, social psychology, and physics to power systems and robotics. Two crucial aspects of the design of a consensus system are the implementation issues that arise in densely conne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ccaab3707f1e6ae623b16612ada00ac
https://doi.org/10.1109/tcyb.2021.3126576
https://doi.org/10.1109/tcyb.2021.3126576
Autor:
Daniel J. Bauer, Margaret A. Sheridan, Douglas H. Clements, Denis Dumas, Julie Sarama, Jessica R. Cohen, Weili Lin, Daniel McNeish
Publikováno v:
Psychol Methods
Individual differences in the timing of developmental processes are often of interest in longitudinal studies, yet common statistical approaches to modeling change cannot directly estimate the timing of when change occurs. The time-to-criterion frame
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af0e96ded5a14eb2b8120f685d822e7d
https://doi.org/10.1037/met0000407
https://doi.org/10.1037/met0000407
A tutorial on assessing statistical power and determining sample size for structural equation models
Publikováno v:
Psychological Methods. 28:207-221
Structural equation modeling (SEM) is a widespread approach to test substantive hypotheses in psychology and other social sciences. However, most studies involving structural equation models neither report statistical power analysis as a criterion fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f0682f331dae47efcfbd5dca7453418
https://doi.org/10.1037/met0000423
https://doi.org/10.1037/met0000423
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 33:7610-7620
Clustering algorithms based on deep neural networks have been widely studied for image analysis. Most existing methods require partial knowledge of the true labels, namely, the number of clusters, which is usually not available in practice. In this a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::637dcb8bf7fd3d449b17d05b84e95b71
https://doi.org/10.1109/tnnls.2021.3085891
https://doi.org/10.1109/tnnls.2021.3085891