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2022 International Joint Conference on Neural Networks (IJCNN)
Chapters
Sokolova A., Savchenko A., , in: 2022 International Joint Conference on Neural Networks (IJCNN).: Institute of Electrical and Electronics Engineers Inc., 2022.
One of the main issues in face identification is to create a real-time application with high accuracy. Images are presented by high-dimensional feature vectors that are produced by convolutional neural networks. In order to effectively process such vectors, the hierarchical algorithm was proposed in this paper that applies sequential analysis to search the nearest neighbors ...
Added: May 29, 2023
Language:
English
Keywords: ARTIFICIAL NEURAL NETWORKS
Demidovskij A., Irina Novikova, Artyom Tugaryov et al., , in: Frontiers in Artificial Intelligence and Applications: 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, ItalyVol. 413.: IOS Press Ebooks, 2025. P. 4233–4240.
Large Language Models (LLMs) have become central advancements in artificial intelligence, particularly in machine learning, natural language processing, and computer vision. Their ability to understand and generate human-like text has made them crucial in applications ranging from automated translation to text generation. Despite the vast capabilities of pre-trained LLMs, their deployment in specialized domains often ...
Added: October 23, 2025
Demidovskij A., Igor Salnikov, Olga Frolova et al., , in: Frontiers in Artificial Intelligence and Applications: 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, ItalyVol. 413.: IOS Press Ebooks, 2025. P. 2426–2433.
Modern Multimodal Large Language Models have increased demands on computational resources required for both pretraining and fine-tuning procedures. This challenge is primarily attributed to the backpropagation step because the computation of gradients is time-consuming and memory-intensive. This paper aims to alleviate the presented issues, and introduces novel fine-tuning strategy. Low-Rank Adaptation with Hebb Rapid Optimization ...
Added: October 23, 2025
Saleh S., Saleh H., Dmitry Goncharov et al., , in: 2023 International Symposium ELMAR, 11-13 September 2023, Zadar, Croatia.: IEEE, 2023. P. 23–27.
Estimating depth is necessary to understand and navigate the environment surrounding us. Over the years, many active sensors have been developed to measure depth, but they are expensive and require additional space for mounting. A cheaper alternative is estimating depth from a single RGB image taken by an ordinary monocular camera, which can be placed ...
Added: January 26, 2024
Saleh H., IEEE, 2023.
Estimating depth is necessary to understand and navigate the environment surrounding us. Over the years, many active sensors have been developed to measure depth, but they are expensive and require additional space for mounting. A cheaper alternative is estimating depth from a single RGB image taken by an ordinary monocular camera, which can be placed ...
Added: November 30, 2023
Islam R., Volkov V., Empirical Economics 2022 P. 1403–1455
We propose a novel risk measure that is built on comparing high-frequency time-varying volatility and low-frequency return spillover estimates. This measure permits to identify the markets that are epidemic in their complex interdependence. We conjecture that initially a highly volatile market experiences episodes of risk transmission, but only later absorbs risk and becomes an epidemic ...
Added: November 10, 2023
Frolov A. A., Pochinka I. G., Shakhov B. Е. et al., Sovremennye Tehnologii v Medicine 2021 Vol. 13 No. 6 P. 6–13
The aim of the study was to develop, evaluate, and validate an artificial neural network to predict coronary microvascular obstruction (CMVO) during percutaneous coronary interventions (PCI) in patients with myocardial infarctions (MI) based on the parameters, which are routinely available in an operating room when choosing a surgical approach.
Materials and Methods
5621 patients with MI and emergency ...
Added: June 21, 2023
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
Сахнюк П. А., Bristol: IOP Publishing, 2020.
The article suggests the integration of a neural network as a parallel element base in a telecommunication system. In this case, the ability to learn or adapt to external conditions is applied as the main advantage. For telecommunication systems in conditions when it is possible, this ability will improve noise immunity, reliability, operability, etc. The ...
Added: December 8, 2020
Kharlamov A. A., Открытые семантические технологии проектирования интеллектуальных систем, Белоруссия 2020 No. 4 P. 141–148
To date, traditional information technology and artificial intelligence technology have evolved independently of each other. Now is the time to fundamentally rethink the experience of using and evolution of traditional information technology and its integration with artificial intelligence technology. Currently, the key problem in the development of information technology in general and artificial intelligence technology ...
Added: October 29, 2020