Using Machine Learning on Macroeconomic, Technical, and Sentiment Indicators for Stock Market Forecasting by Michalis Patsiarikas, George Papageorgiou, Christos Tjortjis

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Forecasting Moldova’s monthly exports using autoregressive models with seasonal dummies by Zionovia Toaca, Liliana Staver, Alexandru Stratan, Viorica Lopotenco, Victoria Cociug

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Multifractal Carbon Market Price Forecasting with Memory-Guided Adversarial Network by Na Li, Mingzhu Tang, Jingwen Deng, Liran Wei, Xinpeng Zhou

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Developing stock sentiment rank metric for forecasting stock sentiments: a statistical perspective by Rachna Sable, Aman Singh, Sudhanshu Gupta, Shivani Goel, Pallavi Parlewar

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RATIONALE FOR PREVENTION OF CARDIO-CEREBRAL COMPLICATIONS IN THE METABOLIC SYNDROME BASED ON MATHEMATICAL FORECASTING TECHNIQUES by S. V. Chernavskii, A. N. Fursov, N. P. Potekhin, V. N. Yakovlev

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Partial Transfer Learning from Patch Transformer to Variate-Based Linear Forecasting Model by Le Hoang Anh, Dang Thanh Vu, Seungmin Oh, Gwang-Hyun Yu, Nguyen Bui Ngoc Han, Hyoung-Gook Kim, Jin-Sul Kim, Jin-Young Kim

Subjects: “…multivariate time series forecasting…”
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Time-Series Forecasting for Peak Hour Traffic Accidents by Md. Ferdousul Haque Shikder, Yili Tang, Majid Emami Javanmard

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Enhancing peak performance forecasting in steam power plants through innovative AI-driven exergy-energy analysis by Muhammad Ali Ijaz Malik, Adeel Ikram, Sadaf Zeeshan, Muhammad Naqvi, Syed Qasim Raza Zahidi, Fayaz Hussain, Hayati Yassin, Atika Qazi

“…This study aims to investigate and predict the performance of a 400 MW steam power plant operating on the Rankine cycle through a combined exergy-energy analysis and an artificial intelligence-based random forest regression model. …”
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Forecasts Plus Assessments of Renewable Generation Performance, the Effect of Earth’s Geographic Location on Solar and Wind Generation by César Berna-Escriche, Lucas Álvarez-Piñeiro, David Blanco

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Epidemiological Situation on Cholera in the Russian Federation in 2023 and Forecast for 2024 by A. Yu. Popova, A. K. Noskov, E. B. Ezhlova, V. D. Kruglikov, E. V. Monakhova, O. S. Chemisova, A. A. Lopatin, S. M. Ivanova, O. A. Podoynitsyna, A. S. Vodop’yanov, D. A. Levchenko, I. V. Savina

“…The paper presents an analysis and assessment of risks of complication of epidemiological situation regarding cholera in the Russian Federation and a forecast for 2024. …”
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FORECASTING CREDITWORTHINESS OF HOLDING COMPANIES ON BASIS OF MODELING OF FINANCIAL INDICATORS by Alina Kazimovna Batchaeva

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The econometric model for forecasting the market of «Aframax» tankers by E. V. Ilyashenko

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Pandemic borders and expenditure impact: Intervention and forecasting insights from Australia by Mitchell Lewis Horrocks, Adrian Gepp, James Todd, Bruce James Vanstone

“…This paper develops an integrated intervention analysis and forecasting methodology for crisis impact assessment to investigate the economic impacts of border restrictions for a popular tourist destination in Australia, the Gold Coast. …”
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Robust Photovoltaic Power Forecasting Model Under Complex Meteorological Conditions by Yuxiang Guo, Qiang Han, Tan Li, Huichu Fu, Meng Liang, Siwei Zhang

Subjects: “…PV power forecasting…”
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Multi-Source Data Fusion-Based Grid-Level Load Forecasting by Hai Ye, Xiaobi Teng, Bingbing Song, Kaiming Zou, Moyan Zhu, Guangyu He

Subjects: “…short-term load forecasting…”
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Forecasting the part of overdue accounts payable in credit portfolio of banks of Ukraine by S.M. Diachek, E.V. Pavlovskiy

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Forecast generation model of municipal solid waste using multiple linear regression by J.A. Araiza-Aguilar, M.N. Rojas-Valencia, R.A. Aguilar-Vera

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Wind speed forecasting approach using conformal prediction and feature importance selection by Cesar Vinicius Zuege, Stefano Frizzo Stefenon, Cristina Keiko Yamaguchi, Viviana Cocco Mariani, Gabriel Villarrubia Gonzalez, Leandro dos Santos Coelho

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Advancing timber construction: historical growth, research frontiers, and time series forecasting by Harrison Huang, Shan Su, Lu Li

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Generative Artificial Intelligence in Education: Discussions and Forecasts by L. V. Konstantinova, V. V. Vorozhikhin, A. M. Petrov, E. S. Titova, D. A. Shtykhno

“…The main groups of expert opinions and scientific approaches are being identified and compared, which makes it possible to present a perspective vision of the processes of integrating generative artificial intelligence into education. Analysis and forecasting are mostly carried out on the example of the practice by using generative artificial intelligence in higher education, however, the main provisions and conclusions can be extrapolated to other levels of education.Materials and methods. …”
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