Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Ioannis Th. Famelis"'
Publikováno v:
Atmosphere, Vol 15, Iss 7, p 828 (2024)
A hybrid optimization filter for weather and wave numerical models is proposed and tested in this study. Parametrized Artificial Neural Networks are utilized in conjunction with Extended Kalman Filters to provide a novel postprocess strategy for 10 m
Externí odkaz:
https://doaj.org/article/cd19979342a04c20a6ecd5557cfe8ff6
Publikováno v:
Environmental Sciences Proceedings, Vol 26, Iss 1, p 199 (2023)
Aiming to develop a novel optimization model for numerical weather and wave predictions, this study proposes a hybrid approach based on the combination of Artificial Neural Networks (ANNs) and Kalman Filters (KFs). The KF technique uses fixed covaria
Externí odkaz:
https://doaj.org/article/7ee5750f47f647c18024c6568e94cf6e
Autor:
T. E. Simos, Ioannis Th. Famelis
Publikováno v:
Neural Computing and Applications. 34:607-615
A training algorithm for the Neural Network solution of Singular Perturbation Boundary Value Problems is presented. The solution is based on a single hidden layer feed forward Neural Network with a small number of neurons. The training algorithm adap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9e585ef432ee91ab32384e77f67e520
https://doi.org/10.1007/s00521-021-06364-1
https://doi.org/10.1007/s00521-021-06364-1
Publikováno v:
The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology. 20:197-212
The aim of this paper is to present an application of high-order numerical analysis methods to a simulation system that models the movement of a cylindrical-shaped object (mine, projectile, etc.) in a marine environment and in general in fluids with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fce848358866c82baff4c76788061ac4
https://doi.org/10.1177/15485129211028661
https://doi.org/10.1177/15485129211028661
Autor:
Vasiliki Kaloutsa, Ioannis Th. Famelis
Publikováno v:
Neural Computing and Applications. 33:3363-3370
As computational intelligence techniques become more popular in almost all scientific fields and applications nowadays, there exists an active research effort to engage them in the study of classical mathematical problems. Among these techniques, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd9a6eb0818a5ced41e4c3a547ab4774
https://doi.org/10.1007/s00521-020-05201-1
https://doi.org/10.1007/s00521-020-05201-1
Publikováno v:
Mathematical Methods in the Applied Sciences. 43:3369-3374
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d99f533486166162578494fa982b73a
https://doi.org/10.1002/mma.6126
https://doi.org/10.1002/mma.6126
Autor:
Ioannis Th. Famelis, Vaso Kaloutsa
Publikováno v:
INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2019.
Computational Intelligence techniques are becoming more and more popular in the treatment of classical mathematical problems. The use of Neural Networks (NN) for the solution of Differential Equations is not a new perspective, as this scientific area
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d0c0e4f76904e1b73b6250443bf4c96
https://doi.org/10.1063/5.0026823
https://doi.org/10.1063/5.0026823
Symbolic derivation of Runge–Kutta–Nyström type order conditions and methods for solving y′′′=f(x,y)
Publikováno v:
Applied Mathematics and Computation. 297:50-60
In this work we study the Runge–Kutta–Nystrom (RKN) type methods for the solution of a special third order initial value problems. Based on rooted trees the relative order conditions theory is presented introducing a new set of SN-trees named ⊤
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cce9bd40b3a5c6709a59d8611fec3f35
https://doi.org/10.1016/j.amc.2016.10.028
https://doi.org/10.1016/j.amc.2016.10.028
Autor:
Dimitris Barmpakos, Ioannis Th. Famelis, Grigoris Kaltsas, Damianos Marinatos, Anastasios Moschos
Publikováno v:
Journal of Sensors, Vol 2019 (2019)
The development and the corresponding evaluation of a multidirectional thermal flow sensor are presented in this work. The sensor was fabricated on a flexible substrate, allowing for new applications, since it provides the possibility of installation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab3586696d947d92b00eba6b5ae19967
https://doaj.org/article/107ac0156d43422a9972d6be747ed73d
https://doaj.org/article/107ac0156d43422a9972d6be747ed73d
Autor:
Ioannis Th. Famelis, Ch. Tsitouras
Publikováno v:
AIP Conference Proceedings.
In this work we derive efficient rational L∞ approximations of various degrees for the quadruple precision computation of the matrix exponential. We focus especially on the two classes of normal and nonnegative matrices. Our method relies on Remez
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2116ccee8f7c073391937ef3b750961e
https://doi.org/10.1063/1.5114476
https://doi.org/10.1063/1.5114476