Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Marta Peleshko"'
Autor:
Dmytro Peleshko, Vladislav Serzhantov, Oleksandr Bondarenko, Vadim Ilyasov, Olena Vynokurova, Marta Peleshko
Publikováno v:
2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP).
In parallel with technological development the problem of fraud detection is becoming more and more important. Increasing number of electronic transactions in various business environments, on the one hand, and software and technology development, on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f03ca678dca2b379f5746f2f79ad8c3
https://doi.org/10.1109/dsmp47368.2020.9204244
https://doi.org/10.1109/dsmp47368.2020.9204244
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030616557
DSMP
DSMP
The Hybrid Deep Convolutional Neural Network with Multimodal Fusion (HDCNNMF) topology for the multimodal recognition of the speech, the face, the lips, and human gestures behavior is proposed. Conducted researches relate to improving the understandi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8af970a64438ac22e1361364ec060e9
https://doi.org/10.1007/978-3-030-61656-4_4
https://doi.org/10.1007/978-3-030-61656-4_4
Publikováno v:
2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP).
In this paper we propose a hybrid five-layer neuro-fuzzy model and a corresponding learning algorithm with application in stock market time-series prediction tasks. The key difference between classical ANFIS architecture and the proposed model is in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa5aec67f0f33ba7134380532b66745c
https://doi.org/10.1109/dsmp.2018.8478494
https://doi.org/10.1109/dsmp.2018.8478494
Multidimensional Wavelet Neuron for Pattern Recognition Tasks in the Internet of Things Applications
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319910079
Data mining and processing of Big Data is key problem in developing intelligent Internet of Things (IoT) applications. In this article, the multidimensional wavelet neuron for pattern recognition tasks is proposed. Also, the learning algorithm based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc54e69ddbb7a646657e6549ed743238
https://doi.org/10.1007/978-3-319-91008-6_7
https://doi.org/10.1007/978-3-319-91008-6_7
Publikováno v:
2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP).
The paper describes the method image superresolution from two frames on the basis of aggregate divergence matrix elements of the theory and genetic algorithms. Shows different ways for building oversampling images algorithms based on the proposed met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf0371cfa0e5ce05b77630a3f18efc70
https://doi.org/10.1109/dsmp.2016.7583548
https://doi.org/10.1109/dsmp.2016.7583548
Publikováno v:
The Experience of Designing and Application of CAD Systems in Microelectronics.
Based on the combined usage of developed methods of sustainable segmentation and local magnitudes proposed a new scheme of watermark embedding into audio signals. The proposed scheme of audio signals watermarking ensures the reliability of several ty
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4b417f99ee653fa9dd45f9646f7eabd
https://doi.org/10.1109/cadsm.2015.7230824
https://doi.org/10.1109/cadsm.2015.7230824