INFORMATION TECHNOLOGY FOR RECOGNITION OF ROAD SIGNS USING A NEURAL NETWORK by Elena Yashina, Roman Artiukh, Nikolai Рan, Andrei Zelensky

“…The subject of the study is the methods and tools for automation of recognition of road signs at the level of software implementation. …”
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The imperial experience of the Russian empire: the Grand Duchy of Finland in the second half of the 19th – early 20th centuries by N.G. Karnishina

“…The system-structural method is used by the author to study the principles and methods of conducting national policy on the example of the Grand Duchy of Finland. …”

Research activity as a factor in the formation of professional competence of future teachers in the context of digital transformation by Tatyana A. Toreeva

“…Methodology . The main research methods were critical analysis of scientific and pedagogical sources, systematization, classification, and questionnaire method. …”
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ANN-Based Design of a Hybrid Renewable Energy System for Hybrid Electric Vehicle Applications by Babu Jarapala Ramesh, Murty M.V.D.S. Krishna, Rajashekar Deva, Susheela N.

“…This article examines energy management strategies for hybrid power systems, leveraging an Artificial Neural Network (ANN) to optimize power flow based on real-time needs. The ANN controller ensures maximum power point tracking (MPPT) from renewable sources like photovoltaics (PV), wind turbines (WTs), and fuel cells (FCs), utilizing DC-DC converters. …”
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Thermal and mechanical properties of bio-cemented quartz sand mixed with steel slag by Shuang Li, Ming Huang, Mingjuan Cui, Kai Xu, Guixiao Jin

“…In this work, the effects of steel slag content (SSC) and number of treatment cycle (N) on the thermal conductivity and mechanical strength of EICP-treated specimens were investigated. The immersion method was adopted for specimen preparation. The thermal conductivity was measured by transient plane source method (TPS) and the unconfined compressive strength (UCS) was obtained through a uniaxial compression test. …”
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SORA: Energy-Efficient Resource Allocation in Open Radio Access Network With Online Learning by Aerman Tuerxun, Akihiro Nakao

“…We validate our method using open-source platforms—OpenAirInterface and FlexRIC—demonstrating its practical effectiveness. …”
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Extraction of Collagen from Kedukang Fish Bone (Hexanematichthys sagor) at Various Concentrations of Acetic Acid Solution by Veronica Veronica, Junianto Junianto, Aulia Andhikawati, Emma Rochima

“…The bones of kedukang fish, a by-product of jambal roti production in Pangandaran, have the potential to be a source of collagen. Collagen extraction can be done chemically using acetic acid solution. …”
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A hybrid sparse identification and convolutional neural network framework for renewable energy forecasting by Junchi He, Junchi He, Tian Tian, Yaqing Wu, Xiaolu Liu, Mengli Wei

“…Due to the intermittency of renewable energy sources, traditional data-driven deep learning methods face challenges in capturing long-term dependencies. …”
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Automatic phenotyping using exhaustive projection pursuit by Wayne A. Moore, Stephen W. Meehan, Connor Meehan, David R. Parks, Guenther Walther, Leonore A. Herzenberg

“…We have developed an automated tool to comprehensively identify these cell populations by Exhaustive Projection Pursuit (EPP). The method evaluates all two-dimensional projections among the suitable data dimensions and creates an optimized sequence of statistically significant gating regions that identify all phenotypes supported by the data. …”
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Boosting Stochasticity in Ovonic Threshold Switches Through Cryogenic First Firing for Fast and Reliable Entropy Generation by Dongmin Kim, Jangseop Lee, Yoori Seo, Ohhyuk Kwon, Pendar Azaripour Masouleh, Jisung Lee, Joonhyun Kwon, Chul‐Heung Kim, Hyunsang Hwang

“…This study demonstrates the potential of optimizing OTS devices to satisfy the increasing demand for fast and energy‐efficient entropy sources in advanced cryptographic systems.…”
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Research Progress and Technology Outlook of Deep Learning in Seepage Field Prediction During Oil and Gas Field Development by Tong Wu, Qingjie Liu, Yueyue Wang, Ying Xu, Jiale Shi, Yu Yao, Qiang Chen, Jianxun Liang, Shu Tang

“…Based on the summary of the existing results, this paper proposes future development directions including real-time prediction and closed-loop optimization, multi-source data fusion, physical consistency modeling and interpretability enhancement, model migration, and online updating capability. …”
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Applying Software Metrics to RNN for Early Reliability Evaluation by Hao Zhang, Jie Zhang, Ke Shi, Hui Wang

“…Based on this, a framework is proposed to evaluate overall reliability for actual projects, in which algebraic tools are introduced to build the structural reliability model automatically and accurately. Studies in two open-source projects show that early evaluation results based on this framework are effective and the related methods have good applicability.…”
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The development of spontaneous intermuscular bleeding in patients with a new coronavirus infection in an infectious disease hospital by E. M. Nesvit, K. V. Medvedev, A. A. Erofeev, M. A. Protchenkov

“…The paper investigates the effectiveness of instrumental diagnostics – computed tomography in vascular mode is recognized as the optimal method, which helps to identify not only the location of the hematoma, but also in some cases its source. …”
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Hydrotreating rice bran oil for biofuel production by Salwa A. El Khatib, Samia A. Hanafi, Youssef Barakat, Eslam F. Al-Amrousi

“…Hydrotreating technique is one of the most promising method for producing high quality of biofuels from plant oils. …”
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The use of bone autoplasty for false joints of the humerus diaphysis by K. I. Khorak, P. G. Kogan, D. G. Parfeev, A. I. Avdeev, A. M. Morozov, M. E. Piskareva

“…To study the application of bone autotransplantation for the treatment of false joints of the diaphysis of the humerus diaphysis.Materials and methods. A review of the literature sources published in the last 5 years on the problem of application of bone autografting methods for false joints of the humerus diaphysis was carried out.Results. …”
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THE FORMATION AND DEVELOPMENT OF CORPORATE CULTURE OF THE MEDICAL ORGANIZATIONS by O. L. Zadvornaya, V. Alekseev, K. Borisov

“…In conducting this study used data from official sources, a literature review, a systematic approach, comparative analysis, historical, sociological, statistical research methods. …”
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Application of machine learning in acute upper gastrointestinal bleeding: bibliometric analysis by Qun Li, Guolin Chen, Qiongjie Li, Dongna Guo

“…Through a thorough analysis of relevant literature, we uncover the research trends and collaboration patterns in this field, which can provide valuable references and insights for further in-depth exploration in the same field.MethodsUsing the Web of Science (WOS) as the data source, this study explores academic development in a specific field from December 2013 to December 2023. …”
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Development of a PYTHON library for a mathematical model of nuclear reactor kinetics by Aleksei G. Goryunov, Danil D. Kachanov, Kirill D. Kachanov

“…The developed model is open-source, enabling scientists and engineers to use it for analyzing, optimizing, and managing nuclear reactors, thereby contributing to technological advancements and knowledge dissemination in this field.…”
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Multicriteria Decision Analysis for Renewable Energy Integration Design: For an Institutional Energy System Network by Dharani Rajavelu, Balasubramonian Madasamy

“…To achieve the sustainable energy solution, the hybrid power source configurations available in the locations are analyzed to ensure reliability using the HOMER software tool. …”
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Thermoelectric Modeling and Online SOC Estimation of Li-Ion Battery for Plug-In Hybrid Electric Vehicles by Aishwarya Panday, Hari Om Bansal, Pramod Srinivasan

“…In a PHEV, Li-ion battery is considered as the primary propelling source. Therefore, an accurate battery model is required to predict the I-V characteristic and dynamic behavior of a battery. …”
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