Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Volodymyr Turchenko"'
Autor:
Vitaliy Dorosh, Sergei Kislyuk, Sergei Bezobrazov, Volodymyr Turchenko, Myroslav Komar, Anatoliy Sachenko, Andrei Sheleh, Vladimir Golovko
Publikováno v:
IDAACS
This paper presents and explains an implementation of an Artificial Neural Network approach for sport activities (gestures) detection and recognition using PIQ ROBOT device. Tennis was chosen as an example of sports activities. The development of art
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5e33ee1d29942922d447d59e491b298
https://doi.org/10.1109/idaacs.2019.8924243
https://doi.org/10.1109/idaacs.2019.8924243
Autor:
Volodymyr Turchenko, Viktor Demchuk
Publikováno v:
International Journal of Computing. :12-18
The coarse-grain parallel algorithm of modular neural networks training with dynamic mapping onto processors of parallel computer is described in this paper. Parallelization of the algorithm is done on parallel computer 300 using MPI technology. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84f544d98527fdac4527063a97d1df18
https://doi.org/10.47839/ijc.4.1.319
https://doi.org/10.47839/ijc.4.1.319
Autor:
George Markowsky, Roman Romanyak, Viktor Spilchuk, Volodymyr Turchenko, Serhiy Voznyak, Ihor Romanets, Anatoly Sachenko
Publikováno v:
International Journal of Computing. :185-190
The Ternopil Educational Communication Center was developed with NATO funding to improve computing for the universities of Ternopil, Ukraine. It provides high speed access for all of Ternopil’s universities to the Internet and the World Wide Web. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8d88469517e5efb3d544529866474ea
https://doi.org/10.47839/ijc.7.1.503
https://doi.org/10.47839/ijc.7.1.503
Publikováno v:
International Journal of Computing. :40-46
This paper describes the Smart Vehicle Screening System, which can be installed into a tollbooth for automated recognition of vehicle license plate information using a photograph of a vehicle. An automated system could then be implemented to control
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a38de7c8a4700df96b3f2341ae8849a
https://doi.org/10.47839/ijc.2.2.203
https://doi.org/10.47839/ijc.2.2.203
Publikováno v:
International Journal of Computing. :9-19
The main feature of neural network using for accuracy improvement of physical quantities (for example, temperature, humidity, pressure etc.) measurement by data acquisition systems is insufficient volume of input data for predicting neural network tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7df6fab007772eba1ce7a538b386b2ac
https://doi.org/10.47839/ijc.4.3.357
https://doi.org/10.47839/ijc.4.3.357
Publikováno v:
International Journal of Computing. :135-140
An approach to prediction of the arrival time of interplanetary shocks using neural networks based on the data gathered from single EPAM (Electron, Proton and Alpha Monitor) channel of NASA’s ACE (Advanced Composition Explorer) spacecraft is propos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af5c140e6a3a24455c70692bbd36de6f
https://doi.org/10.47839/ijc.5.3.418
https://doi.org/10.47839/ijc.5.3.418
Autor:
Artur Luczak, Volodymyr Turchenko
Publikováno v:
IDAACS
The development of a deep (stacked) convolutional auto-encoder in the Caffe deep learning framework is presented in this paper. We describe simple principles which we used to create this model in Caffe. The proposed model of convolutional auto-encode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::102783a906382de45bb8ab44a3b76355
http://arxiv.org/abs/1512.01596
http://arxiv.org/abs/1512.01596
Publikováno v:
ICCS
The use of tuned collective’s module of Open MPI to improve a parallelization efficiency of parallel batch pattern back propagation training algorithm of a multilayer perceptron is considered in this paper. The multilayer perceptron model and the u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::651651aa7bacbe9b48174c2f5ba3d27c
Autor:
Aliaksandr Kroshchanka, Volodymyr Turchenko, Vladimir Golovko, Douglas Treadwell, Stanislaw Jankowski
Publikováno v:
IDAACS
Over the last decade, deep belief neural networks have been a hot topic in machine learning. Such networks can perform a deep hierarchical representation of input data. The first layer can extract low-level features, the second layer can extract high
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49fd98df790d4a020ff99f9f24719094
https://doi.org/10.1109/idaacs.2015.7340725
https://doi.org/10.1109/idaacs.2015.7340725
Publikováno v:
IEEE Instrumentation & Measurement Magazine. 6:34-40
The main characteristic of the intelligent distributed data acquisition system we describe in this article is that it supports intelligent functions and provides the desired accuracy of measurement. It is also reliable and adaptable, utilising two NN
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23ba143782a8eaaac0ac07fde910685c
https://doi.org/10.1109/mim.2003.1238339
https://doi.org/10.1109/mim.2003.1238339