Perspectives of Manufacturing Subsidiaries of Foreign Companies in Russia: Frontier, Faubourg or Sticks? by Igor' Gurkov, Evgeniy Morgunov, Zokirzhon Saidov, Aleksandr Arshavskiy

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Morbidity of diseases different classes and Prediction on the Territory of the Passage of the Railway in the Republic of Sakha (Yakutia) by O. A. Ushkareva

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Wind power generation prediction using LSTM model optimized by sparrow search algorithm and firefly algorithm by Wenjing Zhang, Hongjing Yan, Lili Xiang, Linling Shao

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Volatility of Returns in Stock Market Investments: A Study of BRICS Nations by N. Pankunni, S. Rajitha Kumar

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Mathematical model development for predicting the number of road traffic accidents involving personal mobility devices by Anastasiya A. Yung

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Mining Frequent Sequences with Time Constraints from High-Frequency Data by Ewa Tusień, Alicja Kwaśniewska, Paweł Weichbroth

“…Specifically, our study used two methods to approach the problem: correlation analysis based on the Pearson correlation coefficient and frequent sequence mining with temporal constraints. …”
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Hybrid Machine Learning Model for Predicting the Fatigue Life of Plain Concrete Under Cyclic Compression by Lucas Rodrigues Lunardi, Paulo Guilherme Cornélio, Lisiane Pereira Prado, Caio Gorla Nogueira, Emerson Felipe Felix

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Benchmarking performance of annual burn probability modeling against subsequent wildfire activity in California by Christopher J. Moran, Matthew P. Thompson, Bryce A. Young, Joe H. Scott, Melissa R. Jaffe

“…Foundational to strategic risk analysis is spatial information on the likelihood of burning in a fire year, typically provided by burn probability (BP) models. …”
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Integration of solar flare and coronal mass ejection event dataHarvard Dataverse by Anli Ji, Manolis K. Georgoulis, Berkay Aydin

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Carbon Price Point and Interval-Valued Prediction Based on a Novel Hybrid Model by Haoyu Chen, Qunli Wu, Chonghao Han

“…The model makes a more comprehensive analysis of the carbon market possible by combining the predictions from these two approaches. …”
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Export Competitiveness of Indonesian Cocoa Derivative Products in Main Destination Countries by Soraya Alaini, Novi Rosanti, Firdasari

“… The purpose of this study is to examine the competitiveness of Indonesian cocoa derivative product exports, especially cocoa paste, cocoa butter, and cocoa powder, to the main destination countries: Malaysia, China, the Philippines, the United States, and India and to analyze the export trends of cocoa derivative products to make a forecast for the next 10 years. Data analysis includes the RCA (Revealed Comparative Advantage), ECI (Export Competitiveness Index) and ARIMA models. …”
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A Hybrid Model Integrating Variational Mode Decomposition and Intelligent Optimization for Vegetable Price Prediction by Gao Wang, Shuang Xu, Zixu Chen, Youzhu Li

“…The model employs VMD for multi-scale decomposition of original price series and utilizes the FOA for adaptive optimization of the GRU’s critical parameters, effectively addressing the challenges of high volatility and nonlinearity in agricultural price forecasting. Empirical analysis conducted on daily price data of six major vegetables, specifically, Chinese cabbage, cucumber, beans, tomato, chili, and radish, from 2014 to 2024 reveals that the proposed model significantly outperforms traditional methods, single deep learning models, and other hybrid models in predictive performance. …”
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PM10 AIR QUALITY INDEX MODELING USING ARFIMA-GARCH METHOD: BUNDARAN HI AREA OF DKI JAKARTA PROVINCE by Susilo Hariyanto, Salsabila Gustia Wibawa, Solikhin Solikhin

“…Forecasting using this model resulted in a MAPE of 3.47%, indicating that the model is highly capable of forecasting several periods.…”
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The Conditions of Structural and Innovation Policy of Development of Economy of Russia by N. I. Komkov

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Rapid Response to Effusive Eruptions Using Satellite Infrared Data: The March 2024 Eruption of Fernandina (Galápagos) by Diego Coppola, Simone Aveni, Adele Campus, Marco Laiolo, Francesco Massimetti, Benjamin Bernard

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Effectiveness of three machine learning models for prediction of daily streamflow and uncertainty assessment by Luka Vinokić, Milan Dotlić, Veljko Prodanović, Slobodan Kolaković, Slobodan P. Simonovic, Milan Stojković

“…Uncertainty analysis indicated reasonable variance levels, with a mean 3-day forecast uncertainty of 35.02% at a 95% confidence level for TKAN, compared to 39.95% for LSTM and 28.46% for TCN. …”
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Evaluating GRU Algorithm and Double Moving Average for Predicting USDT Prices: A Case Study 2017-2024 by Rahmat Rizky, Munirul ula, Zara Yunizar

“…This study highlights the need for integrating multiple forecasting techniques in cryptocurrency price prediction. …”
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High‐Precision Prediction of Ionospheric TEC in the China Region Based on CMONOC High‐Resolution Data and an Auxiliary Attention Temporal Convolutional Network by Jianghe Chen, Pan Xiong, Haochen Wu, Xiaoran Zhang, Xuemin Zhang, Rongzi Chai, Ting Zhang, Kaixin Wang, Chaoyu Wang

“…Abstract Accurate prediction of Total Electron Content (TEC) in the ionosphere is crucial for navigation, communication, and space weather forecasting. However, the Global Ionosphere Maps provided by the International GNSS Service have limitations in resolution and adaptability in the China region, making high‐precision predictions difficult. …”
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Trend and prediction of the disease burden of carbon monoxide poisoning in China by Chaocheng WANG, Xinyun DUAN, Yu DU

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Selection of Prediction Method of Basic Statistical Work Parameters of N.V. Sklifosovsky Research Institute for Emergency Medicine of the Moscow Healthcare Department by B. L. Kurilin, V. Y. Kisselevskaya-Babinina, N. A. Karasyov, I. V. Kisselevskaya-Babinina, E. V. Kislukhkina, V. A. Vasilyev

“…To select the optimal methodology for the experimental forecast model, data were used for the period from 1991 to 2016. …”
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