Synergistic SAPSO-sinusoidal decay empirical formula for ship motion forecasting in waves by Jianwei Wang, Xinyu Han, Jiachen Chai, Wenlei Li, Ze He, Minghua Yue

“…Validation through temporal response analysis and multi-hull computational results confirms the algorithm's robust optimisation process, establishing SAPSO as an efficient and accurate technical solution for hydrodynamic forecasting of marine structures. …”
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ENERGY DEMAND FORECAST FOR TURKISH AGRICULTURE SECTOR: GRANGER CAUSALITY AND COINTEGRATION TEST by Mehmet Arif ŞAHİNLİ, Ahmet ÖZÇELİK

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A Regression-Based Method for Monthly Electric Load Forecasting in South Korea by Geun-Cheol Lee

“…Additionally, ensemble methods combining two or more of these existing methods were tested. In the empirical analysis, the proposed model was used to forecast monthly electricity demand for a 24-month period (2022–2023), achieving a mean absolute percentage error (MAPE) of approximately 2%. …”
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Study of the interval width of features for improving forecasting efficiency of the transport flow intensity by I. N. Pugachev, N. G. Sheshera, D. Yе. Grigorov

“…Each result was subjected to correlation analysis, and the probability of error was calculated.   …”
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Medium-term forecast of the age structure of teachers in secondary schools in the Russian Federation by L. V. Vasilieva, K. V. Lebedev, E. S. Sumenova

“…The research was based on a general scientific methodology applying a systematic approach and the methods of statistical analysis, comparison, generalisation, systematisation, structuring, interpretation, extrapolation, forecasting, and graphical representation of data. …”
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Forecasting Delivery Time of Goods in Supply Chains Using Machine Learning Methods by V. K. Rezvanov, O. M. Romakina, E. V. Zaytseva

“…The research objective is to describe a pattern of appropriate selection of the least resource-intensive delivery forecasting model based on the analysis of machine learning algorithms.Materials and Methods. …”
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APPLICATION OF A MACHINE LEARNING MODEL FOR FORECASTING FREIGHT RATE IN ROAD TRANSPORT by Artur, Maria

“…The influence of individual variables was demonstrated using the eli5 library. The analysis allowed to conclude that machine learning models can be effective in forecasting freight prices in the context of sustainable transport due to their ability to capture complex patterns and relationships in large datasets. …”
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Forecasting Crude Oil Prices Using the Binary RSI (bRSI) Indicator by Michał Dominik Stasiak, Żaneta Staszak, Marcin Stawarz

“…Existing models are primarily based on the main technical analysis methods: trend and moving average analysis. …”
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A Study on Industrial Security Experts Demanding Forecasting in Intelligent Sensor Network by Hyungwook Yang, Hyeri Kim, Hangbae Chang

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Forecasting Stock Value Based on Data from Social Media and Investment Instruments by Ömer Faruk Uyrun, İbrahim Sabuncu

“…Additionally, sentiment analysis was carried out in the analysis of the tweets. …”
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The Economic Burden of Multiple Myeloma. Definition of a Model for Forecasting Patients’ Costs by Alessandro Corso, Daniele Corso, Silvia Mangiacavalli, Claudio Cartia, Maya Ganzetti, Federica Cocito, Virginia Valeria Ferretti, Cinzia Di Novi, Luca Arcaini

“…The difference in marginal costs for transplant-eligible patients was probably due to higher costs for hospitalisation and the costs of the transplant procedure itself. The analysis highlighted four determinants useful for building a model to forecast expenditure: age, bortezomib use, lenalidomide use, and number of lines of therapies. …”
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Forecast‐Cartographic Modeling of Pasture Production of the Volgograd Region Based on Remote Sensing by S. S. Shinkarenko, O. Yu. Kosheleva, D. A. Solodovnikov

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An overshooting model of exchange rate determination and forecasting: a threshold regression approach by Karnikaa Bhattacharyya, Kaveri Deb

“…The study aims to improve forecasting accuracy by incorporating macroeconomic and microeconomic factors into the analysis using the threshold regression model (TRM), a nonlinear approach to estimation. …”
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Modeling and forecasting of TEC using subspace-based SSA-LRF-ANN model by J.R.K. Kumar Dabbakuti, Mallika Yarrakula, Dinesh Babu Vunnava, Gopi Krishna Popuri

“…The proposed study introduces a novel enhancement to LRF and ANN methodologies for Global Positioning System (GPS)– Total Electron Content (TEC) forecasts based on SSA. The GPS-derived TEC at Bangalore (13.02°N and 77.57°E) location grid during sunspot cycle 25 (2020) is considered for analysis. …”
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TFTformer: A novel transformer based model for short-term load forecasting by Ahmad Ahmad, Xun Xiao, Huadong Mo, Daoyi Dong

“…Electrical load forecasting is essential for the efficient operation and planning of power systems. …”
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Forecasting Human Core and Skin Temperatures: A Long-Term Series Approach by Xinge Han, Jiansong Wu, Zhuqiang Hu, Chuan Li, Boyang Sun

“…The comparative analysis revealed that the optimized training method significantly improved prediction accuracy for forecasts extending up to 10 min into the future. …”
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Regional distributed photovoltaic power forecasting considering spatiotemporal correlation and meteorological coupling by HUANG Xiaoyan, GUO Sasa, CHEN Chengyou, XU Tengchong, HAN Xiao, WANG Tao

“…Finally， through comparative analysis with various forecasting models under multiple weather scenarios， the proposed method is validated for its accuracy and stability.…”
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Collision resolution algorithm based on time-series forecasting for cognitive wireless networks by Shuang-mao YANG, Wei GUO, Wei TANG

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Time-Series Forecasting Method Based on Hierarchical Spatio-Temporal Attention Mechanism by Zhiguo Xiao, Junli Liu, Xinyao Cao, Ke Wang, Dongni Li, Qian Liu

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Theoretical аnd Methodological Principles to Forecast Labor Potential of a Region by І. Vakhovych, І. Kondius

“…A regression analysis was used to study the level of a regional labor potential as an integral system, forecast some demographic, economic, environmental and educational indicators in Lviv region. …”
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