Analysis and forecasting of the impact of working conditions on occupational diseases in foundry workers by A. M. Lazarenkov, I. A. Ivanov, M. A. Sadokha, A. A. Novik

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Temporal and spatial pattern analysis and forecasting of methane: Satellite image processing by Fatima Elshukri, Noor Hussam Abusirriya, Nathan Joseph Braganza, Abdulkarem Amhamed, Odi Fawwaz Alrebei

“…Moreover, the study extends to forecasting methane levels for the latter half of 2024 and the entirety of 2025. …”
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Analysis of corn price forecast in China based on Lasso-XGBoost-SHAP by Wenming Cheng, Fangyuan Li

“…Corn is a pivotal Chinese grain crop , serving as a staple and the largest imported commodity, making accurate price forecasting critical for food security and policy . …”
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Resource Time Series Analysis and Forecasting in Large-Scale Virtual Clusters by Yue Lin, Jiamin Wen, Xudong Zhang, Yan Liang, Jianjiang Li

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Applying forecasting methods to accrual-based and cash-based ratio analysis by Alexey Litvinenko, Anna Litvinenko, Samuli Saarinen

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Short-term cryptocurrency price forecasting based on news headline analysis by Vladimir Dikovitsky

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Spatiotemporal analysis and forecasting of public attention to China’s five major religions by Xianhang Xu, Mohd Anuar Arshad, Hong Liu, Mengjiao Zhao, Jiejing Yang, Shuxia Cao, Guoyu Luo, Ming Chen, Qianqian Chen

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Principal Component Analysis for Weighted Data in the Procedure of Multidimensional Statistical Forecasting by V. V. Nikitin, D. V. Bobin

Subjects: “…weighted principal component analysis…”
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Forecasting day-ahead electric power prices with functional data analysis by Faheem Jan, Hasnain Iftikhar, Mehwish Tahir, Mehak Khan

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Data Mining Algorithm for Demand Forecast Analysis on Flash Sales Platform by Mingyang Zhang, Yixin Wang, Zhiguo Wu

“…It is important for companies to build the accurate product demand forecast analysis focusing on the characteristics of the flash sales and customer behaviors. …”
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Using R/S analysis for forecasting stock quotes with ARMA and ARIMA methods by Stupina Alena, Zinenko Anna

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Applicability Analysis of Machine Learning Model in Hydrological Forecasting in Karst Areas by ZHAO Zejin, SUN Wei, ZHOU Bin, ZHANG Xuan, WANG Gaoxu, WU Wei, LI Wenjie, YAO Ye

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Cryptocurrency Forecasting Using Deep Learning Models: A Comparative Analysis by Rachid Bourday, Issam Aatouchi, Mounir Ait Kerroum, Ali Zaaouat

“…This article aims to provide a comprehensive and comparative analysis of Deep Learning Forecasting Models in order to predict Bitcoin prices in the short and medium terms: Transformer with XGBoost, Transformer with ANN, Transformer with LSTM, and Transformer with SVR. …”
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Applications of Cluster Analysis and Pattern Recognition for Typhoon Hourly Rainfall Forecast by Fu-Ru Lin, Nan-Jing Wu, Ting-Kuei Tsay

“…Besides, supplement techniques of missing rainfall gage data are also considered to build an all-purpose forecast model. By integrating techniques of cluster analysis and pattern recognition, present proposed rainfall forecasting model is tested using historical data of Tamsui River Basin in Northern Taiwan. …”
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Analysis and Forecasting the Price of the S&P 500 Index Using the Arima Model by Vadym Dun

“…The results of the research allowed to determine that the chosen S&P 500 index can serve as a reflection of the state and forecasts of economic development of the United States. …”
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Comparative Analysis of Neural Networking and Regression Models for Time Series Forecasting by S. V. Sholtanyuk

“…Comparative analysis of received neural networking forecasting model with linear regression has been performed. …”
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APPLICATION OF SINGULAR SPECTRUM ANALYSIS METHOD IN FORECASTING INDONESIA COMPOSITE DATA by Latifah Nur Wijayanti, Mujiati Dwi Kartikasari

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Bayesian Time Series Modelling with Wavelet Analysis for Forecasting Monthly Inflation by taha ali, Heyam Hayawi, Hunar Hamza

“…This article treats data noise and outliers in Bayesian ARIMA models through wavelet analysis. Apply the discrete wavelet transformation using Daubechies and Symlets wavelets for orders 10 and 15 to decompose the data of Bayesian ARIMA models into their frequency components. …”
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INTEGRATED MODEL FOR FORECASTING TIME SERIES OF ENVIRONMENTAL POLLUTION PARAMETERS by Andrii Biloshchytskyi, Oleksandr Kuchanskyi, Alexandr Neftissov, Svitlana Biloshchytska, Arailym Medetbek

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FORECASTING COHERENT VOLATILITY BREAKOUTS by A. S. Didenko, M. M. Dubovikov, B. A. Poutko

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