Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Zhelyazko Terziyski"'
Autor:
Zhelyazko Terziyski, Margarita Terziyska, Ivelina Deseva, Stanka Hadzhikoleva, Albert Krastanov, Dasha Mihaylova, Emil Hadzhikolev
Publikováno v:
Applied Sciences, Vol 13, Iss 2, p 961 (2023)
Research on food-derived bioactive peptides is expanding and the need for a convenient online platform that combines a foolproof and intuitive user interface with a reliable database and tools for prediction and analysis is rising. In this regard, th
Externí odkaz:
https://doaj.org/article/c6965ebf5e5047e7865b90936cee7108
Autor:
Margarita Terziyska, Kostadin Yotov, Emil Hadzhikolev, Zhelyazko Terziyski, Stanka Hadzhikoleva
Publikováno v:
2022 22nd International Symposium on Electrical Apparatus and Technologies (SIELA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc57ae05bffebfe9b163ff60ca96fa1d
https://doi.org/10.1109/siela54794.2022.9845722
https://doi.org/10.1109/siela54794.2022.9845722
Publikováno v:
Contemporary Methods in Bioinformatics and Biomedicine and Their Applications ISBN: 9783030966379
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c70a6cc65dfd2056bdfcc2edc0120311
https://doi.org/10.1007/978-3-030-96638-6_26
https://doi.org/10.1007/978-3-030-96638-6_26
Publikováno v:
BIO Web of Conferences. 58:03007
Biologically active peptides (BAP) are increasingly in the focus of scientific research due to their widespread use in medicine, food and pharmaceutical industries. Researching and studying the properties of peptides is a laborious and expensive proc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ddcabe712f648bb6a04441d8759b751
https://doi.org/10.1051/bioconf/20235803007
https://doi.org/10.1051/bioconf/20235803007
Publikováno v:
Terziyska, M, Terziyski, Z & Todorov, Y 2021, A Long-Short Term Memory Network for Chaotic Time Series Prediction . in R Andreev, L Doukovska & S Ilchev (eds), Big Data, Knowledge and Control Systems Engineering-Proceedings of the 7th International Conference, BdKCSE 2021 . IEEE Institute of Electrical and Electronic Engineers, 2021 Big Data, Knowledge and Control Systems Engineering, BdKCSE, Sofia, Bulgaria, 28/10/21 . https://doi.org/10.1109/BdKCSE53180.2021.9627283
This paper demonstrates the development of an Long-Short Term Memory (LSTM) network and its application for predicting Chaotic Time Series (CTS). LSTM is a Deep Learning (DL) architecture and a type of Recurrent Neural Network (RNN). Its ability to m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdc4d682d4a64ad05a6574cf794b67d2
https://doi.org/10.1109/bdkcse53180.2021.9627283
https://doi.org/10.1109/bdkcse53180.2021.9627283
Publikováno v:
2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE).
Multi-Input Multi-Output Neo-Fuzzy Neural Network Structure, based on Neo-fuzzy neuron concept, is used in this study to forecast average daily PM 10 and PM 2.5 concentration in Plovdiv, Bulgaria. Such a structure is preferred because it has a good g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e20904cde37cfc58508ac8750b7293d
https://doi.org/10.1109/bdkcse48644.2019.9010610
https://doi.org/10.1109/bdkcse48644.2019.9010610