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Clustering techniques versus binary thresholding for detection of signal tracks in ionograms
P. 87–92.
Grachev A., Shiriy A.
An ionogram is a display of the data produced by an ionosonde. It is a graph of the virtual height of the ionosphere plotted against frequency. In addition to "useful signal", an ionogram almost always contains noise of different nature, a so called background noise. That is why the signal filtering task becomes so important. There are two groups of methods to this end. The first group features methods of computer vision for image processing, namely, different filters and image binarization. The second group includes adapted clustering methods. In this paper, we show how several methods work for filtering "useful signal" from noise and emissions.
Anna Melman, Mikhail Alexandrov, Oleg Evsutin, , in: 2025 XIХ International Symposium on Problems of Redundancy in Information and Control Systems (Redundancy), 5-7 Nov. 2025.: IEEE, 2025. P. 1–6.
Digital steganography protects the privacy of data by hiding them in some digital containers, such as images. Protection of confidential messages by hiding them in digital images faces the problem of balancing the main performance indicators, i.e. embedding imperceptibility and capacity. Metaheuristic optimization can be used to flexibly customize embedding options, including parameters and locations ...
Added: January 28, 2026
Cham: Springer, 2025.
This book constitutes the refereed proceedings of 34th International Workshops which were held in conjunction with the 34th International Conference on Artificial Neural Networks and Machine Learning, ICANN 2025, held in Kaunas, Lithuania, September 9–12, 2025.
The 20 full papers and 8 abstracts included in this workshop volume were carefully reviewed and selected from 42 submissions. ...
Added: September 29, 2025
Melman A., Evsyutin O., Senyukova O., Компьютерная оптика 2025 Т. 49 № 2 С. 273–281
The widespread use of digital content makes the task of protecting author’s and owner’s rights increasingly important, in particular with regard to digital images. Digital watermarking technology is an effective tool that solves many problems associated with proving authorship of images, verifying authenticity, and tracking illegal copying. An effective watermarking algorithm requires achieving high levels ...
Added: March 8, 2025
A. A. Sinevich, A. A. Chernyshov, Chugunin D. V. et al., JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS 2024 Vol. 129 No. 11 Article e2024JA033222
In this study, we employ a unique multi‐instrumental approach for a comprehensive examination of Polarization Jet (PJ) (or, another name, Subauroral Ion Drift (SAID)). A diverse set of data is used to assess the connection between the appearance of the inhomogeneous structure of PJ/SAID and its reflection in groundbased observations during geomagnetic activity. Our approach ...
Added: January 29, 2025
Cham: Springer, 2024.
This multi-volume set, LNAI 14941 to LNAI 14950, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2024, held in Vilnius, Lithuania, in September 2024. ...
Added: November 22, 2024
Lepskiy A., , in: Belief Functions: Theory and Applications: 8th International Conference, BELIEF 2024, Belfast, UK, September 2–4, 2024, ProceedingsVol. 14909: Lecture Notes in Computer Science.: Cham: Springer, 2024. Ch. 23 P. 216–224.
The article introduces and discusses threshold belief and plausibility functions. When forming such functions, only focal elements that are “significant” for a given set are taken into account. The significance of focal elements is determined using a similarity measure and a threshold. Threshold functionals of uncertainty, external and internal conflicts, threshold rules of combination are ...
Added: September 14, 2024
Lepskiy A., Procedia Computer Science 2024 Vol. 242 P. 444–451
A new method of aggregation and ranking on an ordinal scale is proposed based on the method of evidential ranking previously developed by the author, but using the tools of threshold aggregation of bodies of evidence. This method has better robustness and stability compared to the threshold-free method. The method allows you to take into ...
Added: September 14, 2024
Anna Melman, Oleg Evsutin, Computers and Electrical Engineering 2024 Vol. 117 Article 109271
Social networks and various websites provide a lot of tools for publishing and sharing digital images. However, publishing digital content online makes it vulnerable to illegal copying and distribution. An effective method for protecting images is watermarking technology, which embeds a logo or some kind of identifier into an image in an invisible way. If ...
Added: April 28, 2024
Anna Melman, Oleg Evsutin, Danil Smirnov, , in: 2023 XVIII International Symposium Problems of Redundancy in Information and Control Systems (REDUNDANCY).: IEEE, 2023. P. 1–5.
Sharing images via social media and specialized sites creates a copyright issue. Image watermarking methods provide copyright protection for authors and owners of digital content. The security level of a watermarking algorithm depends on a watermark’s resistance to various distorting effects, such as brightness changing, contrast changing, applying a Gaussian filter, and others. At the ...
Added: January 5, 2024
Dzhanashia K., Oleg Evsutin, Multimedia Tools and Applications 2024 Vol. 83 No. 20 P. 58855–58874
Watermarking is a widespread technique for information protection and an invisible alternative to quick response codes. The literature mainly considers software implementations of watermarking methods, even though there are applications for which hardware watermarking solutions become preferable or the only possible option due to increased speed, power, or information safety requirements. A convenient, flexible, and ...
Added: December 14, 2023
Andrei A. Ternikov, IT Professional 2024 Vol. 26 No. 2 P. 76–82
This article contributes to the field of matching techniques by introducing a new algorithm based on labor market data enrichment. This approach is able to collect and balance the training and test samples for data integration purposes. By setting thresholds for textual matching and geographic proximity, it simplifies the process of finding suitable company matches. ...
Added: October 26, 2023
Zaev R., Romanov A., Solovyev R., , in: 2023 International Russian Smart Industry Conference (SmartIndustryCon), 27-31 March 2023.: Sochi: IEEE, 2023. P. 460–465.
Medical research has made tremendous progress in detecting various pathologies in the human body. There is still the problem of the speed of the process, and the lack of a sufficient number of trained professionals in this field. Detection of prostate cancer, in particular, without surgery is a very labor- intensive process. A neural network-based ...
Added: July 30, 2023
CEUR Workshop Proceedings, 2021.
Added: November 25, 2022
Карева Т. Ю., Мирошниченко Д. А., Голубеева Г. И. et al., Известия высших учебных заведений. Технология текстильной промышленности 2022 № 2 (398) С. 104–108
The article discusses the possibility of using neural network technologies for the automated search for defects in textile materials. A developed laboratory stand is presented, where samples are photographed to form a training sample. A number of studies have been conducted on the influence of various types of illumination of the material when obtaining an ...
Added: November 1, 2022
Bhimani K. R., Ghildiyal S., Mani G. et al., IEEE Access 2020 Article 1
In today’s developing technology, industries are playing important role for the betterment of life and society. But in industries many functions are running under hazardous conditions, so demand of human free interaction arises, which can be fulfilled by robotics. In Chemical, Oil & Gas, Petrochemicals and many manufacturing industries today we need human safety on ...
Added: October 14, 2022
Springer, 2021.
This 8-volumes set constitutes the refereed of the 25th International Conference on Pattern Recognition Workshops, ICPR 2020, held virtually in Milan, Italy and rescheduled to January 10 - 11, 2021 due to Covid-19 pandemic. The 416 full papers presented in these 8 volumes were carefully reviewed and selected from about 700 submissions. The 46 workshops cover ...
Added: April 10, 2022
Cham: Springer, 2022.
The proceedings of the 4th Stability and Control Processes Conference are focused on modern applied mathematics, stability theory, and control processes. The conference was held in recognition of the 90th birthday of Professor Vladimir Ivanovich Zubov (1930–2000).
This selection of papers reflects the wide-ranging nature of V. I. Zubov’s work, which included contributions to the development of the qualitative ...
Added: March 22, 2022
Abhishek T., Alexey N. Nazarov, , in: Computational Intelligence Methods for Super-Resolution in Image Processing Applications.: [б.и.], 2021. P. 249–260.
Alzheimer’s infection is an irreversible, reformist cerebrum problem that gradually demolishes memory and thinking abilities. Super-goal imaging and profound learning are generally utilized in the clinical field so as to identify infection and help specialist in dynamic dependent on perception. This chapter aims to recognize Alzheimer’s infection so that patients can be forestalled before irreversible ...
Added: December 6, 2021
[б.и.], 2021.
This book explores the application of deep learning techniques within a particularly difficult computational type of computer vision (CV) problem ─ super-resolution (SR). The authors present and discuss ways to apply computational intelligence (CI) methods to SR. The volume also explores the possibility of using different kinds of CV techniques to develop and enhance the ...
Added: December 6, 2021
Anna Melman, Oleg Evsutin, Applied Soft Computing Journal 2023 Vol. 132 Article 109847
Image steganography and watermarking have demonstrated their efficiency in creating a covert communication channel and in digital image authentication respectively. The importance of cybersecurity tasks sets high efficiency requirements for information embedding methods. Many studies in this area focus on finding new ways to improve the embedding quality. One of them is to use metaheuristic ...
Added: November 29, 2021