Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Jiří Pospíchal"'
Publikováno v:
Sensors, Vol 24, Iss 6, p 1905 (2024)
A transformer neural network is employed in the present study to predict Q-values in a simulated environment using reinforcement learning techniques. The goal is to teach an agent to navigate and excel in the Flappy Bird game, which became a popular
Externí odkaz:
https://doaj.org/article/a4702b01e2964a6fbe599e3b9b1e4ef5
Publikováno v:
Sensors, Vol 23, Iss 8, p 3985 (2023)
In advanced robot control, reinforcement learning is a common technique used to transform sensor data into signals for actuators, based on feedback from the robot’s environment. However, the feedback or reward is typically sparse, as it is provided
Externí odkaz:
https://doaj.org/article/58223cdf185b491a92c631dbd3af7998
Publikováno v:
Applied Sciences, Vol 12, Iss 17, p 8852 (2022)
Solar energy is one of the most popular sources of renewable energy today. It is therefore essential to be able to predict solar power generation and adapt energy needs to these predictions. This paper uses the Transformer deep neural network model,
Externí odkaz:
https://doaj.org/article/e300e82a548647fd8f66bd28f7b6b0de
Publikováno v:
Sensors, Vol 22, Iss 5, p 1911 (2022)
Computing devices that can recognize various human activities or movements can be used to assist people in healthcare, sports, or human–robot interaction. Readily available data for this purpose can be obtained from the accelerometer and the gyrosc
Externí odkaz:
https://doaj.org/article/bdf0a3d31941473ba6354c191e16038e
Publikováno v:
Applied Sciences, Vol 9, Iss 16, p 3269 (2019)
This paper provides heuristic methods for obtaining a burning number, which is a graph parameter measuring the speed of the spread of alarm, information, or contagion. For discrete time steps, the heuristics determine which nodes (centers, hubs, vert
Externí odkaz:
https://doaj.org/article/9a727ed90d1c4b119c1743200fc9c8bf
This paper describes the successful application of the Transformer model used in the natural language processing and vision tasks as a means of processing the time series of signals from gyroscope and accelerometer sensors for the classification of h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28384c8ef8de44822bcca25a2dcca800
https://doi.org/10.20944/preprints202202.0111.v1
https://doi.org/10.20944/preprints202202.0111.v1
Publikováno v:
Cybernetics Perspectives in Systems ISBN: 9783031090721
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::236dd0ea941da382ac384db754ed6fb9
https://doi.org/10.1007/978-3-031-09073-8_29
https://doi.org/10.1007/978-3-031-09073-8_29
Publikováno v:
Recent Advances in Soft Computing and Cybernetics ISBN: 9783030616588
Sliding tile puzzle or n-puzzle is a standard problem for solving a game by a tree search algorithm such as A*, involving heuristics. A typical example of such a puzzle is 15-puzzle that consists of a square frame containing 4 × 4 numbered square ti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b7b62307abc992e0a5c8c7bef18f98c
https://doi.org/10.1007/978-3-030-61659-5_13
https://doi.org/10.1007/978-3-030-61659-5_13
Autor:
Rostislav Striegler, Marek Kurfiřt, M. Fejgl, Milan Hort, Ivo Svetlik, Lukas Kotik, Jiří Pospíchal
Publikováno v:
Journal of Radioanalytical and Nuclear Chemistry. 318:2263-2271
Two years lasting monitoring of 14C in liquid effluents of two nuclear power plants with pressurized water reactors was performed in the Czech Republic. Method of radiocarbon determination with ability to distinguish dissolved organic and inorganic f
Publikováno v:
Applied Sciences
Volume 9
Issue 16
Applied Sciences, Vol 9, Iss 16, p 3269 (2019)
Volume 9
Issue 16
Applied Sciences, Vol 9, Iss 16, p 3269 (2019)
This paper provides heuristic methods for obtaining a burning number, which is a graph parameter measuring the speed of the spread of alarm, information, or contagion. For discrete time steps, the heuristics determine which nodes (centers, hubs, vert