Probabilistic forecasting of renewable energy and electricity demand using Graph-based Denoising Diffusion Probabilistic Model by Amir Miraki, Pekka Parviainen, Reza Arghandeh

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Vegetation optical depth as a key predictor for fire risk escalation by Dinuka Kankanige, Yi Y. Liu, Ashish Sharma

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Unlocking the Potential of Technology: Estimating Nitrogen Requirement in Corn Using Optical Sensors by Lakesh K. Sharma, Diego A. H. de S. Leitão, Hardeep Singh

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Western Experience in Strategic Planning for National Security by V. P. Nazarov

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A comparative analysis of real and theoretical data in offshore wind energy generation by Fernando M. Camilo, Paulo J. Santos, Armando J. Pires

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Optimizing Demand Forecasting Method with Support Vector Regression for Improved Inventory Planning by Tryantomo Lokhilmahful Palgunadi, Rina Fitriana, Anik Nur Habyba, Yun-Chia Liang

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Spatial-Temporal Fusion Graph Neural Networks With Mixed Adjacency for Weather Forecasting by Ang Guo, Yanghe Liu, Shiyu Shao, Xiaowei Shi, Zhenni Feng

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Subseasonal Prediction of Heat‐Related Mortality in Switzerland by Maria Pyrina, Ana M. Vicedo‐Cabrera, Dominik Büeler, Sidharth Sivaraj, Christoph Spirig, Daniela I. V. Domeisen

Subjects: “…subseasonal forecast…”
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One Step Ahead Prediction of Ozone Concentration for Determination of Outdoor Air Quality Level by Ercan Avşar, Waleed Mahmood

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FORECASTING PRACTICES IN ACADEMIC IR: METHODOLOGICAL MAINSTREAM AND UNSOLVED PROBLEMS by I. V. Fomin, K. P. Kokarev, B. I. Ananyev, N. Yu. Silaev, A. A. Sushentsov, A. D. Chekov

Subjects: “…forecasting…”
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Assessment of Machine Learning Algorithms in Short-term Forecasting of PM10 and PM2.5 Concentrations in Selected Polish Agglomerations by Bartosz Czernecki, Michał Marosz, Joanna Jędruszkiewicz

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Forecasting of Covid-19 cases based on prediction using artificial neural network curve fitting technique by S.K. Tamang, P.D. Singh, B. Datta

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ASSESSMENT OF THE FINANCIAL CONDITION OF RUSSIAN BANKS AND WAYS TO IMPROVE by O. S. Dyakonova, N. V. Kovaleva

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Multistep photovoltaic power forecasting based on multi-timescale fluctuation aggregation attention mechanism and contrastive learning by Liang Yuan, Xiangting Wang, Yao Sun, Xubin Liu, Zhao Yang Dong

Subjects: “…Photovoltaic power forecasting…”
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COMPANIES CONDITION COMPARISON BASES ON THE INDICATORS OF CONSTANCY OF THE RATIO «PRICE/EARNINGS» by O. Zemlyanskiy

Subjects: “…company profits growth forecast…”
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Utilization of a Lightweight 3D U-Net Model for Reducing Execution Time of Numerical Weather Prediction Models by Hyesung Park, Sungwook Chung

Subjects: “…weather forecast…”
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Modeling the number of university graduates for the development of the economy of the Kemerovo region by T. V. Bobko, T. I. Efremkova, T. V. Petrova

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Artificial intelligence in soil microbiome analysis: a potential application in predicting and enhancing soil health—a review by Roberta Pace, Vincenzo Schiano Di Cola, Maurilia Maria Monti, Antonio Affinito, Salvatore Cuomo, Francesco Loreto, Michelina Ruocco

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A Comprehensive Review of Wind Power Prediction Based on Machine Learning: Models, Applications, and Challenges by Zongxu Liu, Hui Guo, Yingshuai Zhang, Zongliang Zuo

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Application of a Short-Term Hydrological Forecast System by Gökçen Uysal, Aynur Şensoy, A. Arda Şorman, M. Cansaran Ertaş

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