Application of State Models in a Binary–Temporal Representation for the Prediction and Modelling of Crude Oil Prices by Michał Dominik Stasiak, Żaneta Staszak, Joanna Siwek, Dawid Wojcieszak

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Reducing Data Uncertainties: Fuzzy Real-Time Safety Level Methodology for Socio-Technical Systems by Apostolos Zeleskidis, Stavroula Charalampidou, Ioannis M. Dokas

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PROSPECTS OF INNOVATIVE ACTIVITY IN THE INDUSTRY FOR THE PERIOD TILL 2020 by M. Motova

“…In the article the author has provided the results of the analysis, forecast and development of the main indicators covering innovation activities of the Russian industry. …”
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The RDI System in Romania as Compared to Other Member States of The European Union by OANA CHINDRIȘ-VĂSIOIU

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Appraisal of the Population Factor Influence on the Passenger Traffic Volume by K. V. Surzhin, S. V. Muktepavel

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Comparative Analysis of Physics-Guided Bayesian Neural Networks for Uncertainty Quantification in Dynamic Systems by Xinyue Xu, Julian Wang

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Multi-level lag scheme significantly improves training efficiency in deep learning: a case study in air quality alert service over sub-tropical area by Benedito Chi Man Tam, Su-Kit Tang, Alberto Cardoso

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DETERMINATION OF PASSENGER-TRAFFIC FLOWS IN REGIONAL TRANSPORT SYSTEM ON THE BASIS OF MODIFIED GRAVITY MODELS by E. A. Nurminskiy, I. N. Pugachev, N. V. Shamray, V. N. Sedyukevich

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Epidemiological situation on Crimean-Congo Hemorrhagic Fever in the Russian Federation in 2021 by A. S. Volynkina, O. V. Maletskaya, O. N. Skudareva, Ya. V. Lisitskaya, L. I. Shaposhnikova, D. A. Prislegina, E. I. Vasilenko, Yu. M. Tokhov, I. V. Tishchenko, A. V. Kolosov, D. V. Rostovtseva, N. F. Vasilenko, V. M. Dubyansky, E. V. Yatsmenko, A. N. Kulichenko

“…On the territory of the natural focus of CCHF, the circulation of the CCHF virus of the genetic lineages “Europe-1” and “Europe-3” was detected in 2021. Based on the analysis of the epidemiological data of the previous year and natural and climatic factors affecting the abundance and vital activity of H. marginatum ticks, risk-based quantitative forecast for the incidence of CCHF in the Stavropol Territory for 2022 has been compiled.…”
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Methodological Tools for Diagnosing Insolvency (Bankruptcy) of Organizations in the Anti-Crisis Management System by Chernichenko Svetlana G., Kotov Roman M.

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Time-Series Large Language Models: A Systematic Review of State-of-the-Art by Shamsu Abdullahi, Kamaluddeen Usman Danyaro, Abubakar Zakari, Izzatdin Abdul Aziz, Noor Amila Wan Abdullah Zawawi, Shamsuddeen Adamu

“…Recently, the adoption of LLMs in time-series analysis has catalyzed the emergence of time-series LLMs, a rapidly evolving research area. …”
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The State and the Prospects of the Development of Innovative Activity in the Russian Federation in the XXI Century by A. A. Varushchenko, N. A. Vladimirov

“…The article contains an analysis of the dynamics of the main indicators characterizing the innovative activity of organizations and provides forecast estimates of the indicator based on trend models.…”
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Influence of the Neural Network Hyperparameters on its Numerical Conditioning by S. V. Sholtanyuk

“…Comparative analysis of results of training the forecasting perceptron with various hyperparameters on modeled time series has been performed. …”
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Influence of the Neural Network Hyperparameters on its Numerical Conditioning by S. V. Sholtanyuk

“…Comparative analysis of results of training the forecasting perceptron with various hyperparameters on modeled time series has been performed. …”
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A multivariate time series prediction model based on the KAN network by Yunji Long, Xue Qin

“…This study provides a simple, efficient, and more interpretable solution for multivariate time series forecasting, advancing the field of time series analysis.…”
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Improved Quantile Convolutional and Recurrent Neural Networks for Electric Vehicle Battery Temperature Prediction by Andreas M. Billert, Runyao Yu, Stefan Erschen, Michael Frey, Frank Gauterin

“…The Q*NN hyperparameters are optimized using an efficient Bayesian optimization, before the Q*NN models are compared with regression and quantile regression models for four horizons. The analysis of point-forecast and quantile-related metrics shows the superior performance of the novel Q*NN models. …”
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Design and parameter identification of the wireless torque test system for hybrid vehicles by LI Jie, ZHOU Yijian, GENG Chong, PANG Jinlu

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Current state and prospects of cooperation in the energy industry of China and Russia by Shulin Zhang

“…The integration of quantitative forecasting and qualitative analysis of cooperation prospects and institutional barriers in the context of the Chinese-Russian energy partnership was carried out, which made it possible to identify the dependencies between market, technological and political factors. …”
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Sustainable prospective proposals for utilizing modifiers in bitumen industry to address global warming by Mohammad Mehdi Dadaei, Pouria Hajikarimi, Fereidoon Moghadas Nejad

“…To promote sustainability in Iran’s bitumen industry, this study includes a detailed economic and environmental analysis of additive production, transportation, and blending with existing bitumen sources. …”
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Bayesian Inference for Long Memory Stochastic Volatility Models by Pedro Chaim, Márcio Poletti Laurini

“…We thoroughly assess the in-sample fit and extend our analysis to the construction of out-of-sample forecasts. …”
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