SARMoistX: temporal forecasting of vegetation moisture using SAR imagery by Abdul Hanan, Mehak Khan, Meruyert Kenzhebay, Amir Miraki, Nieves Fernandez-Anez, Reza Arghandeh

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A Survey on Statistical and ML-Based Demand Forecasting Methods for Spare Parts in Aviation by Chelsea M. Zuvieta, Joffrey L. Leevy, Taghi M. Khoshgoftaar

Subjects: “…Demand forecasting…”
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A Hybrid Vector Autoregressive Model for Accurate Macroeconomic Forecasting: An Application to the U.S. Economy by Faridoon Khan, Hasnain Iftikhar, Imran Khan, Paulo Canas Rodrigues, Abdulmajeed Atiah Alharbi, Jeza Allohibi

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Medium- and Long-term Forecast of Inflow of Dahuofang Reservoir Based on CEEMDAN-LSTM Model by WANG Chunyu, ZHANG Jing, YANG Xu, YAN Bin

Subjects: “…medium- and long-term forecast…”
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An Algorithm for Forecasting Future Trends by Aleksandr Borzov, Viktor Sorokin, Vitaly Mityazov, Daria Shimanova

“…The contemporary information landscape is characterised by a huge amount of data available for analysis using a variety of research tools and methods. …”
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FORECASTING SEVERE CONVECTIVE STORMS by Y. L. Smerek, V. A. Shimelsky

“…Introduction: One of the most difficult tasks facing modern synoptic meteorology is the forecasting of heavy convective storms (tornadoes). …”
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TECHNOLOGICAL FORECASTING AS CYCLIC SYSTEM by Victor M. Averbukh

“…The analysis of components of forecasting - from a task for development of the forecast before scheduling of reconstruction of production and a task for the following time log - proved recurrence of all process.…”
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Methodology of criminal law forecasting by M. P. Kleymenov

“…The subject. Criminal law forecasting is a scientifically based analysis of the prospects for the development of criminal law in order to optimize criminal legislation and the practice of its application. …”
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Global, regional, and national burden of decubitus ulcers, 1990–2021: analysis of the current situation, multidimensional analysis, and trend forecasting for the global burden of disease study 2021 by Zhaoyi Jing, Qingyu Song, Bingbing Wang, Xiao Ding, Wei Yan, Xianghua Qi

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Segmenting Online Shoppers: A Combined Cluster and Logistic Regression Approach for Forecasting Purchase Behavior by Wong Ming Wong, Wunhong Su

“…This paper contributes by using cluster analysis and logistic regression to segment online customer usage behavior and forecast purchase behavior. …”
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Hybrid SARIMA+BO-LSTM Framework for Forecasting EV Adoption: A Road to Net-Zero in Ireland by Afaq Khattak, Brian Caulfield

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Short-term load forecasting based on multi-frequency sequence feature analysis and multi-point modified FEDformer by Kaiyuan Hou, Xiaotian Zhang, Junjie Yang, Jiyun Hu, Guangzhi Yao, Jiannan Zhang

“…Given the complexity and dynamic nature of short-term load sequence data, coupled with prevalent errors in traditional forecasting methods, this study introduces a novel approach for short-term load forecasting. …”
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Classical swine fever: a retrospective analysis of the epizootic situation in the Russian Federation (2007–2021) and forecast for 2022 by A. S. Oganesyan, A. A. Shevtsov, A. V. Shcherbakov, F. I. Korennoy, A. K. Karaulov

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Deep Learning-Based River Flow Forecasting with MLPs: Comparative Exploratory Analysis Applied to the Tejo and the Mondego Rivers by Gonçalo Jesus, Zahra Mardani, Elsa Alves, Anabela Oliveira

“…The analysis shows that MLP models attain acceptable accuracy in short-term river flow forecasts for the selected scenarios and datasets, adeptly reflecting discharge patterns and peak occurrences. …”
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COMPARATIVE ANALYSIS OF FUZZY TIME SERIES CHEN AND MARKOV CHAIN METHODS FOR FORECASTING ELECTRICITY CONSUMPTION IN MATARAM CITY by Nirwanto Nirwanto, Syamsul Bahri, Lisa Harsyiah

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Performance analysis of advanced deep learning technics: Application to solar energy forecasting and management in several cities in Chad by Osée Mounkang, Claude Vidal Aloyem Kaze, Nzoko Tayo Dieudonné, Ghislain Junior Bangoup Ntegmi, Duclair Paul Edouard Pountounynyi, Hervice Roméo Fogno Fotso, Armel Zambou Kenfack, Germaine Kenmoe Djuidje, René Tchinda

“…The main objective of this study is to analyze advanced forecasting techniques and apply them to solar radiation prediction to enhance energy management in various cities in Chad. …”
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Novel Cooperative Multi-Input Multilayer Perceptron Neural Network Performance Analysis with Application of Solar Irradiance Forecasting by M. Madhiarasan, Mohamed Louzazni, Partha Pratim Roy

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ANALYSIS AND FORECASTING OF CONSEQUENCES PERTAINING TO PRICE CHANGES ON IMPORTED NATURAL GAS BY POWER-GENERATING ENTERPRISES OF THE REPUBLIC OF BELARUS by M. P. Kondratiev, S. A. Kirinovich

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Forecasting basal area increment in forest ecosystems using deep learning: A multi-species analysis in the Himalayas by P. Casas-Gómez, J.F. Torres, J.C. Linares, A. Troncoso, F. Martínez-Álvarez

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Seasonal forecasting of the hourly electricity demand applying machine and deep learning algorithms impact analysis of different factors by Heba-Allah Ibrahim El-Azab, R. A. Swief, Noha H. El-Amary, H. K. Temraz

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