Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Alona Moskalenko"'
Publikováno v:
Авіаційно-космічна техніка та технологія, Vol 0, Iss 5 (2024)
The subject of research is Neural network-based object detectors, which are widely used for video image analysis. An increasing number of tasks now demand data processing directly at the source, which limits the available computational resources. How
Externí odkaz:
https://doaj.org/article/53a827bd678d4604bd220881efd8599f
Publikováno v:
Радіоелектронні і комп'ютерні системи, Vol 0, Iss 3, Pp 95-109 (2022)
Modern methods of image recognition are sensitive to various types of disturbances, which actualize the development of resilient intelligent algorithms for safety-critical applications. The current article develops a model and method of training a cl
Externí odkaz:
https://doaj.org/article/e46f3c77f3554e9191ea844454019af2
Publikováno v:
Algorithms, Vol 16, Iss 3, p 165 (2023)
Artificial intelligence systems are increasingly being used in industrial applications, security and military contexts, disaster response complexes, policing and justice practices, finance, and healthcare systems. However, disruptions to these system
Externí odkaz:
https://doaj.org/article/179e5272ef794ae8aec9c550d01f8f85
Publikováno v:
Algorithms, Vol 15, Iss 10, p 384 (2022)
Modern trainable image recognition models are vulnerable to different types of perturbations; hence, the development of resilient intelligent algorithms for safety-critical applications remains a relevant concern to reduce the impact of perturbation
Externí odkaz:
https://doaj.org/article/ec68a43aa0534aa2a41e73236458aedb
Artificial intelligence systems are increasingly becoming a component of security-critical applications. The protection of such systems from various types of destructive influences is thus a relevant area of research. The vast majority of previously
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1a742a4c8f444317ecbf3782d23ef9a
https://doi.org/10.20944/preprints202302.0209.v1
https://doi.org/10.20944/preprints202302.0209.v1
Publikováno v:
Computer Modeling and Intelligent Systems. 2608:288-299
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e82d482f70093bbe6c48063515773919
https://doi.org/10.32782/cmis/2608-22
https://doi.org/10.32782/cmis/2608-22
Publikováno v:
2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP).
CCTV inspections are frequently used to diagnose defects in underground sewer pipes. A model for classification of sewer pipe defects in video frames and a corresponding five-phase training method are proposed. The model is based on deep convolutiona
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7d61ed697f00af8abd169eb2987689d
https://doi.org/10.1109/dsmp47368.2020.9204083
https://doi.org/10.1109/dsmp47368.2020.9204083
Autor:
Viktor Avramenko, Alona Moskalenko
Publikováno v:
Computer Modeling and Intelligent Systems. 2353:56-70
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e750845526576c30363cf9710a09a1b
https://doi.org/10.32782/cmis/2353-5
https://doi.org/10.32782/cmis/2353-5
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030616557
DSMP
DSMP
CCTV inspection is a modern approach for diagnosing defects in underground sewer pipes. A new deep model and multi-phase learning method for recognizing sewer pipe defects in fixed parts of video frame are proposed. The deep model is based on a convo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c542c9c81549ce6ac7ea19463ee46b1
https://doi.org/10.1007/978-3-030-61656-4_16
https://doi.org/10.1007/978-3-030-61656-4_16
Publikováno v:
2019 IEEE 14th International Conference on Computer Sciences and Information Technologies (CSIT).
The classification model which consist of motion detector, object tracker, convolutional sparse coded feature extractor and stacked information-extreme classifier is developed. Proposed model is characterized by low computational complexity and it ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9122ace9b16e8701bb955af15368b54
https://doi.org/10.1109/stc-csit.2019.8929795
https://doi.org/10.1109/stc-csit.2019.8929795