Researching Dependence of Indicators of Sevastopol Strategic Plan on Restrictive Measures of International Character: Regional Aspect by E. A. Matushevskaya, V. A. Moskaleva

“…The empiric basis of the research is formed by expert method using binary logics of estimation and content-analysis; correlative-regressive analysis. In order to find a certain interconnection 184 indicators of Sevastopol strategic plan were studied. …”
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The Role of Gold in the Modern Economy by D. S. Sotnikov, O. V. Zhuravleva, S. A. Varvus, A. P. Buevich

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Method of investigating thermal fluctuation processes in problems of diagnostics and prediction of insulating materials by Marina N. Dubyago, Nikolay K. Poluyanovich, Vyacheslav Kh. Pshikhopov

“…The investigation of thermal fluctuation processes in insulating materials in accordance with the thermal conductivity theory for solving the problems on diagnostics and forecasting the residual life of insulating materials on the basis of a digital recorder, as well as on the nondestructive temperature method, is described. …”
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Artificial intelligence models for determining the strength of centrally compressed pipe-concrete columns with square cross-section by Chepurnenko Anton, Yazyev Batyr, Tyurina Vasilina, Akopyan Vladimir

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Assessment of the stocks and forecast of the catches of bream (Abramis brama Linnaeus, 1758), common carp (Cyprinus carpio Linnaeus, 1758), roach (Rutilus rutilus Linnaeus, 1758),... by O. Marenkov, O. Nesterenko, I. Borovyk, M. Shmahailo, A. Hamolin

“…Based on the conducted study, recommendations were provided on establishing forecasts of catch and limits for the harvest of aquatic biological resources from the Zaporizhzhia Reservoir for 2025.…”
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GRAVITATIONAL MODELS IN THE MORTGAGE MARKET OF RUSSIA by M. V. Bochenina

“…Therefore, comparing the forecast with its implementation in 2017, the quality of the forecast of the constructed models was evaluated, which showed good results.Conclusion. …”
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PRAKIRAAN CURAH HUJAN KECAMATAN KAIRATU KABUPATEN SERAM BAGIAN BARAT DENGAN MODEL AUTOREGRESIVE INTEGRATED MOVING AVERAGE (ARIMA) by Grace Loupatty

“…Forecasting is an activity to use the past data as the basic to predict the future event that will occur. …”
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Genomics vs. AI-enhanced electrocardiogram: predicting atrial fibrillation in the era of precision medicine by Jean-Marie Grégoire, Cédric Gilon, François Marelli, Hugues Bersini, Stéphane Carlier

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THE BUDGET OF THE SUBJECT OF THE FEDERATION AS AN INSTRUMENT OF SOCIO-ECONOMIC DEVELOPMENT OF THE REGION ON THE EXAMPLE OF THE KARACHAY-CHERKESS REPUBLIC by N. Viderker, G. Darmilova, Z. Batyrova

“…Econometric models are used to make forecasts of future revenues and expenditures of the budget of the Karachay-Cherkess Republic based on a retrospective analysis of actual indicators over the past 9 years. …”
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Evaluation of the long-term effectiveness of cardiac resynchronization therapy by T. V. Chumarnaya, T. A. Lyubimtseva, S. I. Solodushkin, V. K. Lebedeva, D. S. Lebedev, O. E. Solovieva

“…Quantitative criteria for assessing CRT effectiveness were determined using a two-step cluster analysis of patients 1, 2, and 3 years after CRT by LV reverse remodeling parameters.Results. …”
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Machine Learning in Smart Buildings: A Review of Methods, Challenges, and Future Trends by Fatema El Husseini, Hassan N. Noura, Ola Salman, Khaled Chahine

“…It explores the diverse applications of ML techniques in critical areas such as energy forecasting, non-intrusive load monitoring (NILM), and predictive maintenance. …”
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National Carbon Price Prediction Considering Carbon Emissions from the Power Industry by Yirong WANG, Haolin CHEN, Lishen LIN, Jin TANG

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Shaping a Safe Working Environment in the Coal Production Process: Utilizing Model Studies to Assess Methane Hazard Formation by Tutak Magdalena, Brodny Jarosław, Romanyshyn Lyubomyr

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Applying <i>λ</i>-Statistical Convergence in Fuzzy Paranormed Spaces to Supply Chain Inventory Management Under Demand Shocks (<inline-formula><math display="inline"><semantics><mr... by Hasan Öğünmez, Muhammed Recai Türkmen

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LSTM-H: A Hybrid Deep Learning Model for Accurate Livestock Movement Prediction in UAV-Based Monitoring Systems by Ayub Bokani, Elaheh Yadegaridehkordi, Salil S. Kanhere

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Power Signal Histograms—A Method of Power Grid Data Compression on the Edge for Real-Time Incipient Fault Forensics by Joshua H. Tyler, Donald R. Reising, Thomas Cooke, Anthony Murphy

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Present-day changes of mountain glaciers on the southern slope of the Dzhungarian Alatau range by A. L. Kokarev, I. N. Shesterova

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Probabilistic early warning of flash floods using Monte Carlo simulation and hydrological modelling by Xuemei Wu, Yuting Zhao, Wenjiang Zhang, Xiaodong Li, Guanghua Qin, Hongxia Li

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Assessing the Level of Employment in the Informal Sector of the Economy of Russian Regions Using Modern Machine Learning Methods by Aleksey Nikolaevich Borisov, Aleksandr Ivanovich Borodin, Roman Vladimirovich Gubarev, Evgeny Ivanovich Dzuyba, Oksana Mikhaylovna Kulikova

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Temporal Graph Attention Network for Spatio-Temporal Feature Extraction in Research Topic Trend Prediction by Zhan Guo, Mingxin Lu, Jin Han

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