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DIAGNOSTICS OF RUSTS AND SPOTTS OF WHEAT USING COMPUTER VISION METHODS

Irina V. Arinicheva, Igor V. Arinichev, Galina V. Volkova, Sergey V. Polyanskikh • Siberian Journal of Life Sciences and Agriculture (2022)

Purpose. To investigate the possibility of diagnosing yellow and brown rust (Puccinia striiformis f. sp. tritici West. Puccinia triticina f. sp. tritici Erikss), yellow spot (Pyrenophora tritici-repentis (Died.) Drechsler) on wheat leaves f...

DOAJ Open Access (DOAJ) DOI: 10.12731/2658-6649-2022-14-1-248-261

Evaluating Adversarial Robustness of No-Reference Image and Video Quality Assessment Models with Frequency-Masked Gradient Orthogonalization Adversarial Attack

Khaled Abud, Sergey Lavrushkin, Dmitry Vatolin • Big Data and Cognitive Computing (2025)

Neural-network-based models have made considerable progress in many computer vision areas over recent years. However, many works have exposed their vulnerability to malicious input data manipulation—that is, to adversarial attacks. Although...

DOAJ Open Access (DOAJ) DOI: 10.3390/bdcc9070166

DAPS3D: Domain Adaptive Projective Segmentation of 3D LiDAR Point Clouds

Alexey A. Klokov, Di Un Pak, Aleksandr Khorin, Dmitry A. Yudin et al. • IEEE Access (2023)

LiDARs are one of the key sources of reliable environmental ranging information for autonomous vehicles. However, segmentation of 3D scene elements (roads, buildings, people, cars, etc.) based on LiDAR point clouds has limitations. On the o...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3298706

Modeling of Self-Aligned Selector Based on Ultra-Thin Metal Oxide for Resistive Random-Access Memory (RRAM) Crossbar Arrays

Mikhail Fedotov, Viktor Korotitsky, Sergei Koveshnikov • Nanomaterials (2024)

Resistive random-access memory (RRAM) is a crucial element for next-generation large-scale memory arrays, analogue neuromorphic computing and energy-efficient System-on-Chip applications. For these applications, RRAM elements are arranged i...

DOAJ Open Access (DOAJ) DOI: 10.3390/nano14080668

A Simple Baseline for Bayesian Uncertainty in Deep Learning

Wesley J. Maddox, Timur Garipov, Pavel Izmailov, Dmitry Vetrov et al. • arXiv (Cornell University) (2019)

We propose SWA-Gaussian (SWAG), a simple, scalable, and general purpose approach for uncertainty representation and calibration in deep learning. Stochastic Weight Averaging (SWA), which computes the first moment of stochastic gradient desc...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1902.02476

Some results of the digital analysis of the semantic similarity of audiovisual translation texts (based on the films directed by Denis Villeneuve)

Aishat I. Lepshakova, Oleg V. Kurskikh • Актуальные проблемы филологии и педагогической лингвистики (2025)

The article analyses different translation versions of science fiction films directed by Denis Villeneuve with the aim of determining their semantic similarity through NLP analysis. There are four groups of metrics used in text analysis: se...

DOAJ Open Access (DOAJ) DOI: 10.29025/2079-6021-2025-1-132-150

Accelerated Prediction of Terahertz Performance Metrics in GaN IMPATT Sources via Artificial Neural Networks

Santu Mondal, Sneha Ray, Aritra Acharyya, Rudra Sankar Dhar et al. • IEEE Access (2025)

This work investigates the application of artificial neural network (ANN)-based regression models to predict the static and dynamic characteristics of GaN impact avalanche transit time (IMPATT) sources in the terahertz (THz) frequency regim...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3567410

A Prediction Model for Spot LNG Prices Based on Machine Learning Algorithms to Reduce Fluctuation Risks in Purchasing Prices

Sun-Feel Yang, So-Won Choi, Eul-Bum Lee • Energies (2023)

The ongoing Russia–Ukraine conflict has exacerbated the global crisis of natural gas supply, particularly in Europe. During the winter season, major importers of liquefied natural gas (LNG), such as South Korea and Japan, were directly affe...

DOAJ Open Access (DOAJ) DOI: 10.3390/en16114271

FinTech in Russia under circumstances of IT technologies development: development challenges and solutions

Ponomareva M.A., Karpukhin D.V., Stolyarova A.N. • E3S Web of Conferences (2020)

In modern Russia, the FinTech is relevant to the development of the financial segment of the economy. The Government evaluates the prospects of development of artificial intelligence technology, blockchain, big data in the area of budget, t...

DOAJ Open Access (DOAJ) DOI: 10.1051/e3sconf/202022403030

Directions of application of artificial intelligence in digital marketing communications

O. V. Firsanova, S. V. Brovchak, V. V. Kulebyakin • Ученые записки Российской академии предпринимательства (2023)

The digital transformation of modern economic life has found its reflection in the field of marketing communications, having formed a virtually new form of communication between market entities-digital. A distinctive feature of this form is...

DOAJ Open Access (DOAJ) DOI: 10.24182/2073-6258-2023-22-2-132-139

Timor Leste in ASEAN: Implications for ASEAN-Led Economic Multilateralism in the Digital Field

Evgeny A. Kanaev • Vestnik RUDN. International Relations (2026)

The paper explores the main implications of East Timor’s accession to the Association of Southeast Asian Nations (ASEAN) in October 2025 for ASEAN-led economic projects and initiatives in the digital field. The research aims to identify the...

DOAJ Open Access (DOAJ) DOI: 10.22363/2313-0660-2026-26-3-476-488

Public Functions Implementation by Artificial Intelligence: Current Practices and Prospects for Common Measures within Particular Periods across Continents and Regions

Atabek Atabekov • Societies (2023)

The paper explores practices regarding the implementation by AI of public functions through the analysis of research activities, and administrative and legal regulations of AI in countries of various regions and continents. The hypothesis i...

DOAJ Open Access (DOAJ) DOI: 10.3390/soc13070172

Formula for the Digital Wellbeing of the Personality

Svetlana V. Chigarkova, Galina U. Soldatova • Национальный психологический журнал (2026)

Background. In the context of the digitalisation of everyday life, digital wellbeing is a concept that has recently emerged. It signifies the need to reflect on the impact of digital transformations on various spheres of human life, and is ...

DOAJ Open Access (DOAJ) DOI: 10.11621/npj.2026.0104

Optical Rotation Approach to Search for the Electric Dipole Moment of the Electron

Dmitry V. Chubukov, Leonid V. Skripnikov, Vasily N. Kutuzov, Sergey D. Chekhovskoi et al. • Atoms (2019)

The P , T -odd Faraday effect (i.e., rotation of the polarization plane of light propagating through a medium in presence of the external electric field due to P , T symmetry violating interactions) is considered for sev...

DOAJ Open Access (DOAJ) DOI: 10.3390/atoms7020056