Main historical stages in the field of physical culture and sports management (analysis of the past, present, future forecast) by N. V. Filonenko

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PRE-INSPECTION ANALYSIS AS A TOOL FOR FORECASTING ON-SITE TAX AUDIT RESULTS AT PENAL ENFORCEMENT INSTITUTIONS by M. V. Masalskaya, E. V. Mishanova, N. V. Rozhkova

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Comparative Analysis of Time-Series Forecasting Models for eLoran Systems: Exploring the Effectiveness of Dynamic Weighting by Jianchen Di, Miao Wu, Jun Fu, Wenkui Li, Xianzhou Jin, Jinyu Liu

“…The analysis evaluates five forecasting approaches: multivariate linear regression, long short-term memory (LSTM) networks, random forest (RF), a fusion model combining LSTM and RF, and a dynamic weighting (DW) model. …”
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FORECASTING THE NUMBER OF SEARCH AND RESCUE OPERATIONS FOR SHIP ACCIDENTS IN INDONESIA USING FOURIER SERIES ANALYSIS (FSA) by Rien Recylia, Toha Saifudin, Nur Chamidah

“…The training data used in this research is the number of search and rescue operations from January 2021 to December 2022, while the testing data is from January 2023 to December 2023. The analysis results of this study indicate that forecasting using the FSA method has a MAPE of 25.758%, which falls into the category of reasonable forecasting accuracy and with an optimal  and a GCV of 166.586. …”
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Key Financial Indicators Analysis and Stock Trend Forecasting Based on a Wrapper Feature Selection Method by Chang Lin

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Analysis and Forecast of the Shift From Double Control of Energy Consumption to Double Control of Carbon Emissions in Xinjiang by LI Changling, CHANG Xiqiang, LU Hao

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Comparative Analysis of Load Profile Forecasting: LSTM, SVR, and Ensemble Approaches for Singular and Cumulative Load Categories by Ahmad Fayyazbakhsh, Thomas Kienberger, Julia Vopava-Wrienz

“…Accurately forecasting load profiles, especially peak catching, is a challenge due to the stochastic nature of consumption. …”
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A Comprehensive Analysis of Dropout Assisted Regularized Deep Learning Architectures for Dynamic Electricity Price Forecasting by Pooja Joshi, Stale Stordal, Gudbrand Lien, Deepti Mishra, Erik Haugom

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EPIDEMIOLOGY FORECASTING ANALYSIS OF DENGUE HAEMORRAGHIC FEVER WITH SEASONAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE IN TROPICAL AREA by Siswanto Siswanto, Risva Risva, Nana Marliana

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Applying Different Independent Component Analysis Algorithms and Support Vector Regression for IT Chain Store Sales Forecasting by Wensheng Dai, Jui-Yu Wu, Chi-Jie Lu

“…Integrating feature extraction method and prediction tool, such as support vector regression (SVR), is a useful method for constructing an effective sales forecasting scheme. Independent component analysis (ICA) is a novel feature extraction technique and has been widely applied to deal with various forecasting problems. …”
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An analysis of the effect between the heat index and Long Short-Term Memory model to electricity load forecasting by Nguyen Thi Ngoc Anh, Vu Viet Hoang, Do Thi Thanh Chau, Bui Duy Linh, Nguyen Duc Huy

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Sensitivity Analysis and Performance Evaluation of the WRF Model in Forecasting an Extreme Rainfall Event in Itajubá, Southeast Brazil by Denis William Garcia, Michelle Simões Reboita, Vanessa Silveira Barreto Carvalho

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A systematic epidemiological trends analysis study in global burden of multiple myeloma and 29 years forecast by Qianru Hou, Xinyang Li, Huanxin Ma, Di Fu, Aijun Liao

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Modeling and forecasting of the high-dimensional time series data with functional data analysis and machine learning approaches by Yousuf Alkhezi, Hajar M. Alkhezi, Ahmad Shafee

“…Temperature impacts every part of the world. Meteorological analysis and weather forecasting play a crucial role in sustainable development by helping reduce the damage caused by extreme weather events. …”
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Forecast of brine blowout zones in the Amu Darya basin and analysis of brine blowout in oil and gas fields by Deryaev Annaguly

“…The purpose of this study is to forecast possible brine blowout zones in the Amu Darya basin and further analyse these manifestations in oil and gas fields to assess their potential for hydrocarbon extraction. …”
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Analysis and Selection of Multiple Machine Learning Methodologies in PyCaret for Monthly Electricity Consumption Demand Forecasting by José Orlando Quintana Quispe, Alberto Cristobal Flores Quispe, Nilton Cesar León Calvo, Osmar Cuentas Toledo

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Enhancing AI-driven forecasting of diabetes burden: a comparative analysis of deep learning and statistical models by Rasool Esmaeilyfard, Mohsen Bayati

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Artificial Intelligence-Assisted Machine Learning Methods for Forecasting Green Bond Index: A Comparative Analysis by Ahmed İhsan Şimşek, Yunus Emre Gür, Emre Bulut

“…The concluding segment of the SHAP analysis reveals the primary factors influencing the model's forecasts. …”
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A Visual Review and Bibliometric Analysis of Cloud Computing Traffic Flow Forecasting for a Digital Africa by Sello Prince Sekwatlakwatla, Vusumuzi Malele

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Perspectives on water quality analysis emphasizing indexing, modeling, and application of artificial intelligence for comparison and trend forecasting by Rijurekha Dasgupta, Subhasish Das, Gourab Banerjee, Asis Mazumdar

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