Development of technology for controlling access to digital portals and platforms based on estimates of user reaction time built into the interface by S. G. Magomedov, P. V. Kolyasnikov, E. V. Nikulchev

“…Special attention is paid to the tasks of differentiation and control of access in modern information systems. …”
Get full text

EdgeGuard: Decentralized Medical Resource Orchestration via Blockchain-Secured Federated Learning in IoMT Networks by Sakshi Patni, Joohyung Lee

“…To prevent data modification and unauthorized access, it uses a blockchain-based access control and integrity verification system. EdgeGuard uses edge computing to improve system scalability and efficiency by offloading computational tasks from IoMT devices with limited resources. …”
Get full text

Wearable Sensor-Based Behavioral User Authentication Using a Hybrid Deep Learning Approach with Squeeze-and-Excitation Mechanism by Sakorn Mekruksavanich, Anuchit Jitpattanakul

“…The suggested approach demonstrates the potential for use in individual device security, access management, and ongoing uniqueness verification in sensitive settings.…”
Get full text

A Carpometacarpal Thumb Tracking Device for Telemanipulation of a Robotic Thumb: Development, Prototyping, and Evaluation by Abdul Hafiz Abdul Rahaman, Panos S. Shiakolas

“…The successful results support expanding the system and further evaluating it as a research platform for studying human–robot interaction in grasping tasks or in manufacturing, assistive, or medical domains.…”
Get full text

The constructive, overreliant, and irresponsible use of artificial intelligence tools in academia: Personality correlates and implications for academic integrity by Mojtaba Elhami Athar

“…., heavy dependence on AI for academic tasks), and Irresponsible (e.g., using AI-generated content without verification)—each with significant implications for academic integrity. …”
Get full text

Public Goals and Government Expenditures: Are the Solutions of the “Modern Monetary Theory” Realistic? by I. M. Stepnov, Ju. A. Kovalchuk, M. V. Мelnik, T. Petrovic

“…Therefore, when considering the MMT in unity with public goals, the criterion of choice should not be the quality of economic decisions, not their elegance and validity, but enforceability in accordance with urgent and strategic tasks that need to be solved by politicians.…”
Get full text

PRINCIPLES OF FINANCIAL CONTROL IN THE FIELD OF PURCHASES AND THEIR LEGAL FIXING by A. Gladchuk

“…The article presents the author's types of principles of financial control in procurement based on the provisions of the legislation on contract system in procurement and proposes measures to improve the results of procurement procedures, in terms of quality, impact and achievement of required tasks specified in the law on the state order. In view of the above, and taking into account the fact that the legislation of the Russian Federation does not stipulate the principles of financial control in the sphere of procurement to ensure effective verification activities on the compliance with budget legislation and other regulatory legal acts that regulate preparation, execution and budget spending of the country in the field of procurement, the topics discussed in this article appear to be relevant.…”
Get full text

Technology for determining non-humanities university students' cognitive-and-psychological characteristics by N. I. Chernova, E. A. Ivanova, N. B. Bogush, N. V. Katakhova

“…A subsequent correction of tasks and responses was carried out in light of the verification results.Conclusions. …”
Get full text

A Statistical Optimization Method for Sound Speed Profiles Inversion in the South China Sea Based on Acoustic Stability Pre-Clustering by Zixuan Zhang, Ke Qu, Zhanglong Li

“…The SSP inversion experimental results show that: (1) the SSP samples of the South China Sea can be divided into three clusters of disturbance modes with statistically significant differences. (2) The regression inversion method based on cluster attribution reduces the average error of SSP inversion for data from 2018 to 1.24 m/s, which is more than 50% lower than what can be achieved with the traditional method without pre-clustering. (3) Transmission loss prediction verification shows that the proposed method can produce highly accurate sound field calculations in environmental assessment tasks. …”
Get full text

Research on the Key Issues of Big Data Quality Management, Evaluation, and Testing for Automotive Application Scenarios by Yingzi Wang, Ce Yu, Jue Hou, Yongjia Zhang, Xiangyi Fang, Shuyue Wu

“…After experimental verification, this method can effectively detect the integrity of the data transmission process and improve the application of data value, and the final effect is increased by 30.5%.…”
Get full text

Linguistic Mechanisms for Generating Fake News Using Artificial Intelligence by Roman V. Trofimov

“…This phenomenon, on the one hand, has facilitated the simplification of many tasks; on the other hand, however, humanity is now faced with new challenges. …”
Get full text

SEMIOLOGICAL MEANS OF SCIENTIFIC AND PEDAGOGICAL COGNITION by Victoria V. Dobrova

“…Therefore, one of the actual tasks of modern pedagogy is to improve, develop and systematize the conceptual and terminological system. …”
Get full text

Overhead line path planning based on deep reinforcement learning and geographical information system by Jiahui Chen, Yi Yang, Ling Peng, Lina Yang, Yinhui Han, Xingtong Ge

“…Current overhead line planning primarily relies on manual labor, and existing automated algorithms have low adaptability, making it difficult to efficiently accomplish path planning tasks under various environments and objectives. …”
Get full text

APPLICATION OF ARTIFICIAL INTELLIGENCE FOR IMPROVING SITUATIONAL TRAINING OF CYBERSECURITY SPECIALISTS by Yurii V. Shchavinsky, Tetiana M. Muzhanova, Yuriy M. Yakymenko, Mykhailo M. Zaporozhchenko

“…The application of ChatGPT allowed the creation of the necessary number of situational tasks with options for correct solutions in a short time, covering all areas of activity for cybersecurity specialists. …”
Get full text

Multi-Scale Feature Mixed Attention Network for Cloud and Snow Segmentation in Remote Sensing Images by Liling Zhao, Junyu Chen, Zichen Liao, Feng Shi

“…This intrinsic spectral ambiguity significantly impedes accurate cloud and snow segmentation tasks, particularly in delineating fine boundary features between cloud and snow regions. …”
Get full text

Automatic microtube capper/decapper system for clinical examinations and biological experiments by Makoto Jinno, Ryosuke Nonoyama

“…We believe that the proposed system can be used to automate similar tasks in not only the pretreatment process of PCR tests but also a wide range of clinical examinations and biological experiments.…”
Get full text

Predictive risks assessment of power supply interruption to oil production consumers, taking into account changes in significant factors by V. M. Levin, N. P. Guzhov

“…To substantiate the effectiveness of its practical application in the tasks of equipment repair management with the "technical condition" strategy based on a risk-oriented approach.METHODS. …”
Get full text

Exploring the Limits of Large Language Models’ Ability to Distinguish Between Objects by Hyeongjin Ju, Incheol Park, Yagiz Nalcakan, Youngwan Jin, Sanghyeop Yeo, Shiho Kim

“…We evaluate a diverse set of vision–language models (VLMs) ranging from large-scale architectures to parameter-efficient systems across multiple question prompts designed to probe object identification, authenticity verification, and multi-object reasoning. Our experiments reveal that while many models perform reasonably well in identifying single objects, their accuracy declines substantially under more complex conditions, such as multi-object scenes or tasks requiring fine-grained judgments of authenticity. …”
Get full text

Automated Detection of Deviations in Bankruptcy Processes Using Process Mining by Ivan P. Malashin, Igor S. Masich, Daniel A. Ageev, Dmitriy A. Evsyukov, Andrei P. Gantimurov, Vladimir A. Nelyub, Aleksei S. Borodulin, Vadim S. Tynchenko

“…An automated framework is proposed that addresses three key tasks: 1) the detection of deviations in process execution, 2) the identification of root causes behind these deviations, and 3) the verification of process conformance to predefined regulatory standards. …”
Get full text

CircuitHD: Brain-Inspired Hyperdimensional Computing for Circuit Recognition by Paul R. Genssler, Lilas Alrahis, Ozgur Sinanoglu, Hussam Amrouch

“…For machine learning-based tasks, such vectors are the expected format. In contrast, brain-inspired hyperdimensional computing (HDC) can process irregular data structures with its unique encoding algebra. …”
Get full text