Monsoonal influence on particulate organic carbon variability through satellite data analysis by C.K. Tito, D.G. Bengen, T. Prartono, A. Damar, A.J. Wahyudi

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Application of phase analysis to predict long-term dynamics of atmospheric air temperature by L.  T. Sozaeva

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Forecasting the incidence of acute lymphoid leukaemia in males and females in the Saudi population from 2020 to 2029: application of ARIMA models and public health implications by Saeed M. Kabrah, Budhi Handoko, Yasir Aljohani, Abdulrahman Mujalli, Mohammad Alobaidy, Arwa F. Flemban, Wesam F. Farrash, Abdulaziz H. Alharbi, M. S. J. Alzahrani

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Research on Forecasting Sales of Pure Electric Vehicles in China Based on the Seasonal Autoregressive Integrated Moving Average–Gray Relational Analysis–Support Vector Regression Model by Ru Yu, Xiaoli Wang, Xiaojun Xu, Zhiwen Zhang

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The disease burden of gout in Asian countries and regions from 1990 to 2021, risk factors and forecast analysis: A systematic study of Asian disease burden in 2021 by Fuyu Yang, Runze Chen, Jun Xiong, Wenzhen Wang, Peng Yu, Huilin Wang

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The disease burden of gout in Asian countries and regions from 1990 to 2021, risk factors and forecast analysis: A systematic study of Asian disease burden in 2021. by Fuyu Yang, Runze Chen, Jun Xiong, Wenzhen Wang, Peng Yu, Huilin Wang

“…Use Joinpoint regression model for trend analysis. Predict 2050 East Asia incidence rate with Bayesian Age-Period-Cohort (BAPC) model.…”
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Time-Series Autoregressive Models for Point and Interval Forecasting of Raw and Derived Commercial Near-Infrared Spectroscopy Measures: An Exploratory Cranial Trauma and Healthy Control Analysis by Amanjyot Singh Sainbhi, Logan Froese, Kevin Y. Stein, Nuray Vakitbilir, Rakibul Hasan, Alwyn Gomez, Tobias Bergmann, Noah Silvaggio, Mansoor Hayat, Jaewoong Moon, Frederick A. Zeiler

“…The absolute difference in the forecasted and measured data was evaluated with median absolute deviation, along with root mean squared error analysis. …”
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The incidence, prevalence, and health burden of forearm fractures in China from 1992 to 2021 and forecasts for 2036 by Yuan Zeng, Minhua Hu, Zhiming Zhang, Zhiming Zhang, Jiayi Chen, Feifan Luan, ZhiSen Wu, Chenxiao Zheng

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Impact of COVID-19 vaccinations in India: a state-wise analysis by Abhigayan Adhikary, Manoranjan Pal, Raju Maiti

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Analysis of Vulnerability of the Population of the Sary-Dzhas Natural Plague Focus in Kyrgyzstan by G. E. Sarieva, R. Kh. Yusupov, G. Dzh. Bazarkanova, R. K. Maimulov, N. K. Moldakunova, N. N. Bekbolotova

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Global, regional, and national trends in decubitus ulcer burden from 1990 to 2021 and forecasts to 2040 by Ruijuan Li, Xueneng Yang, Hanbo Chen, Minglin Dong, Jun Shu, Junfei Liu, Ming Zeng

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THE IMPACT OF ARTIFICIAL INTELLIGENCE ON ROMANIA’S ECONOMY: SECTORAL IMPACTS, LABOR MARKET SHIFTS, AND FUTURE FORECASTS by Davide Nicola PÂNTEA, Oana Ruxandra BODE, Rozalia Veronica RUS, Valeria GIDIU

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Interpretable Transformer Neural Network Prediction of Diverse Environmental Time Series Using Weather Forecasts by Enrique Orozco López, David Kaplan, Anna Linhoss

“…The TNN was tested and its prediction uncertainty quantified for each response variable from one‐to fourteen‐day‐ahead forecasts using past observations and spatially distributed weather forecasts. …”
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Optimizing energy forecasts at Boma for 2023 to 2053 Using machine learning techniques of the PSO algorithm by André Mampuya Nzita, Bernard Ndaye Nkanka, Guyh Dituba Ngoma, Clément N’zau Umba-di-Mbudi

“…This research was conducted to optimize energy consumption forecasting in the commune of Boma, in the Democratic Republic of Congo, in the face of persistent imbalances between energy production and demand. …”
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Advancing Financial Forecasts: Stock Price Prediction Based on Time Series and Machine Learning Techniques by Cheng-Ying Yang, Min-Shiang Hwang, Yu-Wei Tseng, Chou-Chen Yang, Victor R. L. Shen

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High-Resolution Air Temperature Forecasts in Urban Areas: A Meteorological Perspective on Their Added Value by Sandro M. Oswald, Stefan Schneider, Claudia Hahn, Maja Žuvela-Aloise, Polly Schmederer, Clemens Wastl, Brigitta Hollosi

“…The system is updated with the, according to the author’s knowledge, most accurate land use and land cover input to evaluate the added value of incorporating detailed urban environmental representations. The analysis focuses on the years 2019, 2023, and 2024, examining both summer and winter seasons. …”
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Improving short-term forecasts of sea ice edge and marginal ice zone around Svalbard by Keguang Wang, Caixin Wang, Nick Hughes, Alfatih Ali

“…The assimilation of both ice chart and OSTIA SST is shown to have the largest improvement for MIZ analysis and forecasts. All the Barents-LAON short-term SIE forecasts with assimilations of SIC and SST outperform the sea ice chart persistence forecasts after the first day. …”
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Mathematical modeling of Ethiopia's energy demand by sectors and energy types, with forecasts for the next 30 years by Arkbom Hailu Asfaw, Geremew Teklu, Antigen Birhan, Yiheyis Eshetu, Ebisa Regasa, Tinsae Wondimu

“…The objective of this paper is generating a mathematical model based on the actual data for thirty years forecasting. To create a mathematical model using actual data from the last fifteen years, a model that can represent the past trend and be used for future forecasting. …”
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Time-series and deep learning approaches for renewable energy forecasting in Dhaka: a comparative study of ARIMA, SARIMA, and LSTM models by Mohammad Liton Hossain, S. M. Nasif Shams, Saeed Mahmud Ullah

Subjects: “…Renewable energy forecasting…”
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Time series analysis of mean temperature using SARIMA: An example from Davao Oriental, Philippines by Larry Ichon Jr., Jerd Dela Gente

“…In many practical disciplines, time series analysis, and forecasting—a technique that predicts future values by analyzing past values—play a substantial role. …”
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