Deep Learning Approaches for Continuous Sign Language Recognition: A Comprehensive Review by Asma Khan, Seyong Jin, Geon-Hee Lee, Gul E. Arzu, L. Minh Dang, Tan N. Nguyen, Woong Choi, Hyeonjoon Moon

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Deep learning-based approach for gesture recognition with static hand representation by Nguyen Song Hung, Phan Duc Minh, Ngo Ha Quang Thinh

“…By fusing with the image processing techniques, AI-based strategy to enhance mutual recognition of HRI via hand signs is proposed in this investigation. …”
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Principles of data protection in the accounting system: management aspects by S.F., T.P., І.М.

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NOVEL PRINCIPLES OF MICROWAVE BAND RADIOELECTRONIC DEVICES DESIGN WITH THE USE OF MICROWAVE PHOTONICS TECHNOLOGY by M. E. Belkin, S. A. Kudzh, A. S. Sigov

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Diagnostic value of lung ultrasound versus chest CT in COVID-19 by S. S. Petrikov, I. E. Popova, V. M. Abuchina, R. Sh. Muslimov, L. T. Khamidova, K. A. Popugayev, L. S. Kokov

“…To determine the diagnostic accuracy of lung ultrasound compared to chest computed tomography (CT) in the diagnosis of lung changes in COVID-19. …”
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EXPERIENCE OF USING ADVANCED INFORMATION TECHNOLOGIES IN TRAINING FUTURE TRANSLATORS IN UK UNIVERSITIES by E.V. Dolinskyi

“…Interactive technologies provide various kinds of user interaction (sound, images, animations, etc.) and is a basic tool for the creation of computer training programs. The synthesis of traditional and modern information technology is based on the activity- when learning activities are the subject of training and help to create an overview of the professional activities of an interpreter as a purposeful, active, long-term process of learning. …”
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Efficient Finite-Set Model Predictive Voltage Control of Islanded-Mode Grid-Forming Inverters With Current Constraints by Changming Zheng, Jiafeng Yang, Zheng Gong

“…This paper proposes a computationally efficient finite-set model predictive voltage control (EFS-MPVC) scheme for GFIs. …”
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A Way of Supporting the Servicing of Production Machines Using Reverse Engineering and 3D Printing Techniques by Andrzej Loska, Dorota Palka, Alicja Bień, Katarzyna Substelny

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Noninvasive assessment of the fractional reserve of coronary blood flow with a one-dimensional mathematical model. Preliminary results of the pilot study by D. G. Gognieva, T. M. Gamilov, R. A. Pryamonosov, Yu. V. Vasilevsky, S. S. Simakov, F. Liang, S. K. Ternovoy, N. S. Serova, E. S. Tebenkova, E. A. Sinitsyn, E. S. Pershina, S. A. Abugov, G. V. Mardanyan, N. V. Zakryan, V. R. Kirakosyan, V. B. Betelin, Yu. O. Mitina, A. Yu. Gubina, D. Yu. Shchekochikhin, A. L. Syrkin, F. Yu. Kopylov

“…Specialists from the Laboratory of Mathematical Modeling processed CT images and evaluated noninvasive FFR. …”
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Information system of semantic search of the image to the text of advertising announcement by N. G. Shvets

“…In connection with the rapid development of information technology, modern society is in need of solving the problems of the accumulation, storage and automated processing of semiotically heterogeneous arrays of texts. …”
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Modélisation, faire et dire du faire pour des informaticiens engagés dans une démarche de VAE by Bruno Cuvillier, Gérard Canesi, Pierre Pastré

“…Using this conceptual position, we have drawn six profiles of computer specialists using different operative models.…”
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Automated image-based condition assessment of the built environment: A state-of-the-art investigation of damage characteristics and detection requirements by Leila Farahzadi, Ibrahim Odeh, Mahdi Kioumarsi, Behrouz Shafei

“…Considering the difficulties and limitations associated with traditional inspection methods, there have been growing interests in utilizing image processing and computer vision strategies. Despite several developments, however, the state of the practice still lacks necessary insights on how such advanced strategies should be utilized to realize their expected benefits, in terms of ease, coverage, and accuracy. …”
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Long-context inference optimization for large language models: a survey by TAO Wei, WANG Jianzong, ZHANG Xulong, QU Xiaoyang

“…With the rapid development of large language model (LLM) technology, the demand for processing long-text inputs has been increasing. However, long-text inference faces challenges such as high memory consumption and latency. …”
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SymbolNet: Bridging Latent Neural Representations and Symbolic Reasoning via Intermediate Feature Interpretation by Sungheon Jeong, Hyungjoon Kim, Yoojeong Song

“…SymbolNet constructs a symbolic graph composed of nodes and edges that capture both the semantic meaning and relational structure within the model’s internal reasoning process. This symbolic decoding bridges the model’s internal computations with human cognitive understanding, enabling structured and meaningful interpretation of AI behavior. …”
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Cooling Potential of Bin Stored Wheat by Summer and Autumn Aeration by Abdullah Beyaz, Khaled El Moueddeb, Mohamed Nejıb El Melkı

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Optimization of Wear Behavior of DLC Coatings Through Optimization of Deposition Conditions by Ming-Der JEAN, Cheng-Wu LIU, Pao-Hua YANG, Wen-Hsien HO

“…Based on genetic algorithm (GA) and fuzzy neural network, a new method for the study of sputtering process is proposed in this paper. Diamond-like carbon (DLC) coatings were deposited on SKD11 steel by magnetron sputtering. …”
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Analysis of High Speed Gearbox Oil Injection Lubrication Under Negative Pressure Based on the CFD by Zhang Hong, Huang Bo, Ding Yiqun, Qiu Linyue, Lu Haoran

“…Based on the theory of computational fluid dynamics（CFD), the finite element simulation model of high linear speed gear oil injection lubrication under negative pressure is established. …”
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Brain functional connectivity analysis of fMRI-based Alzheimer's disease data by Maitha S. Alarjani, Badar A. Almarri

“…Distinguishing AD stages remains a complex process due to ambiguous variability within and across AD stages. …”
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LEAVES: An open-source web-based tool for the scalable annotation and visualisation of large-scale ecoacoustic datasets using cluster analysis by Thomas Napier, Euijoon Ahn, Slade Allen-Ankins, Lin Schwarzkopf, Ickjai Lee

“…We expect that our proposed tool will greatly accelerate the annotation process when generating high-quality labelled datasets, supporting larger-scale studies with broader community engagement in ecoacoustics research.…”
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Implementation of Visual Odometry on Jetson Nano by Jakub Krško, Dušan Nemec, Vojtech Šimák, Mário Michálik

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