Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Milena Karova"'
Publikováno v:
Engineering Proceedings, Vol 70, Iss 1, p 27 (2024)
This article describes a system for servicing and enhancing the efficiency of medical clinic operations. The developed system facilitates the patients of the medical clinic by providing rapid and convenient access to their comprehensive medical recor
Externí odkaz:
https://doaj.org/article/77dfc523bf094e9abf3ceaf7f2cde7fb
Publikováno v:
Engineering Proceedings, Vol 70, Iss 1, p 28 (2024)
The liquid dosing system consists of machines and a computer (PC). The machines and the computer are connected to each other and communicate via the RS485 interface. The software installed on a computer (PC) consists of two separate modules (applicat
Externí odkaz:
https://doaj.org/article/a083011ecd3640ea94ade3b732c20301
Publikováno v:
ANNUAL JOURNAL OF TECHNICAL UNIVERSITY OF VARNA, BULGARIA. 5:140-145
Steganography is a modern approach to protect classified data against malicious attacks and misuse. Presented, accordingly, in this paper is a novel method for steganographic embedding of information. A template matrix is used for screening the origi
Autor:
Gergana Spasova, Milena Karova
This paper present s a new image encryption model with focus on symmetric key schemes. It discus 5 schemes: Random Generation Key (8B); Random Key Generation part A(4B) and part B(4B); Input User Key (4B), Encrypted key and Random Key generation (4B)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e72a346fb41d1dd8dae1f6595f3fae5
Autor:
Dimitar Todorov, Milena Karova
Publikováno v:
2021 International Conference Automatics and Informatics (ICAI).
The paper presents a model of a logo generator. The proposed model uses extended StyleGAN neural network. The architecture of the StyleGAN network is presented with an emphasis on the additional components extending the classical GAN neural network.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a2eb36b8e509e13a96b73c3187f2dfd
The objective of this paper is to compare the accuracy of different kernel functions of the SVM method for text classification. As a basis for the research film reviews are used. The authors try to detect the kernel functions and their parameters to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7d42f6b818eebba37a66dacf14eee93
Publikováno v:
2020 International Conference Automatics and Informatics (ICAI).
The purpose of this paper is to compare the accuracy and the execution time of machine learning algorithms for classification of texts, written by Bulgarian authors. The algorithms examined are: Multinomial Naive Bayes classifier, Support Vector Mach
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030522421
SAI (3)
SAI (3)
The paper presents conceptual design of a cryptocurrency price prediction system. Algorithm for data collection and a LSTM neural network for predicting future prices are presented. A brief explanation of the system implementation is shown. The struc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b435cd6bd106d70fe36ae5ea6726582
https://doi.org/10.1007/978-3-030-52243-8_47
https://doi.org/10.1007/978-3-030-52243-8_47
Autor:
Milena Karova, Ivaylo Penev
Publikováno v:
2019 International Conference on Biomedical Innovations and Applications (BIA).
The paper presents an algorithm for preprocessing the HTML code of email messages; this is used in email client applications (such as Gmail App and Microsoft Outlook). The purpose is to create an easy-to-use tool, automatically inserting pre-declared