Enhancing motion forecasting of ship sailing in irregular waves based on optimized LSTM model and principal component of wave-height by Jiaye Gong, Jinya Xu, Lixin Xu, Lixin Xu, Zhichao Hong, Zhichao Hong

“…The study highlights the broad applicability of the WPCA-DC-LSTM model for complex maritime data analysis and ship motion forecasting.…”
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THE FORECASTS OF PIG MEAT PRICES IN THE EU - THE USE OF ADAPTIVE WINTER'S MODEL by Agnieszka TŁUCZAK

“…On the basis of estimated models the forecast of pig meat prices has been calculated. The ex post measurement of forecasts were used to asses a quality of models.…”
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Trends and forecasts of vitamin A deficiency burden in China, 1990–2035 by Zhongming Ye, Junping Liu, Lijiao You, Yaoguo Han, Xiaodan Zhang, Ming Lei

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Leveraging Machine Learning to Forecast Neighborhood Energy Use in Early Design Stages: A Preliminary Application by Andrea Giuseppe di Stefano, Matteo Ruta, Gabriele Masera, Simi Hoque

“…Shapely additive explanation analysis validated the selection of key influencing parameters such as building area, principal building activity, and climate zones. …”
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Incorporating long-term numerical weather forecasts to quantify dynamic vulnerability of irrigation supply system: A case study of Shihmen Reservoir in Taiwan by Chia-Chuan Hsu, Yu-Pin Lin

Subjects: “…Dynamic vulnerability analysis…”
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Increase of the Integration Degree of Wind Power Plants into the Energy System Using Wind Forecasting and Power Consumption Predictor Models by Transmission System Operator by Manusov V.Z., Kholdonov A.A, Boiko K.N., Khaldarov Sh.K.

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INNOVATIVE MODERNIZATION AND TECHNOLOGICAL DEVELOPMENT: THE REJECTION OR ADJUSTMENT OF THE STRATEGY? by N. I. Komkov

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Housing Value Forecasting Based on Machine Learning Methods by Jingyi Mu, Fang Wu, Aihua Zhang

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A Data-Driven Approach to Tourism Demand Forecasting: Integrating Web Search Data into a SARIMAX Model by Geun-Cheol Lee

Subjects: “…tourism demand forecasting…”
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Analysis of 2021 pacific salmon fishing season by S. L. Marchenko

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Enhanced mixup for improved time series analysis by Khoa Tho Anh Nguyen, Khoa Nguyen, Taehong Kim, Ngoc Hong Tran, Vinh Dinh

“…Time series data analysis is crucial for real-world applications. While deep learning has advanced in this field, it still faces challenges, such as limited or poor-quality data. …”
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Global, regional, and national burden of blindness and vision loss attributable to smoking from 1990 to 2021, and forecasts to 2030: findings from the Global Burden of Disease Stud... by Yi Zeng, Yixian Liu, Xingyi Chen, Jennifer Kenny, Rong Rong, Xiaobo Xia

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Modeling the Future of Liquefied Natural Gas Transportation: Regression Analysis of Historical Data and Fleet Development Scenarios by Tatjana Stanivuk, Dario Korljan, Ladislav Stazić

“…The basis of this paper is a previous study that provided an analysis of this sector until the end of 2024 using linear regression. …”
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The global, regional, and national impact of laryngeal cancer from 1990 to 2021, along with forecasts for 2050: a comprehensive analysis for the Global Burden of Disease 2021 research by Tingting Duan, Yuxia Zou, Xuan Liu, Yue Du, Ruihu Li, Jingxiang Cai, Jumei Li, Xiaofeng Wang, Xuejun Zhou, Shun Ding

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A Residual-Corrected Hybrid ARIMA–CNN–LSTM Framework for High-Accuracy Tobacco Sales Forecasting in Regulated Markets by Shiyu Huang, Lili Zhou

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Cost analysis in the green economy on the example of the European Union and the Republic of Kazakhstan by A. M. Tleppayev, S. Zn. Zeinolla

“…The study was conducted using econometric modeling methods, statistical and comparative analysis. A model was built for investments in all activities directly aimed at the prevention, reduction and elimination of environmental pollution. …”
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Vibro-forecasting of fault development in hydropower units by V.V. Kukharchuk, S.Sh. Katsyv, V.F. Hraniak, V.Yu. Kucheruk, V.G. Madiarov, S.A. Bykovsky, A.K. Khassenov, D.Zh. Karabekova

“… Proposed in the paper are the mathematical models and algorithms for vibroforecasting of fault development in hydropower units, such models and algorithms being based on the spectral analysis of vibration signals. With real-world vibroacoustic signals being of purely non stationary nature, i.e. their spectr a varying with time, the authors proposed to carry out spectral analysis using discrete wavelet transformation resulting in acquisition of three-dimensional amplitude-frequency-temporal spectrum in the form of wavelet coefficient matrix. …”
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SOCIAL AND PEDAGOGICAL FORECASTING IN THE PROCESS OF CHILDREN’S SOCIALIZATION by Antonina L. Leutina

“…Methods. The content-analysis of results of the researches published in scientific and pedagogical journals during 2006–2013, has shown that in modern educational practice while implementing the measures on children socialization, projective technologies of forecasting of the future of pupils are used precious little or are not used at all. …”
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INTERNATIONAL EXPERIENCE IN FORECASTING QUALITATIVE CHARACTERISTICS OF THE WORKFORCE by A. A. Tkachenko, A. B. Ginoyan

“…In the United States government agencies use the macroeconomic model of the Data Resources, Inc. private company for making forecasts. Particular attention is paid to occupation forecasts and vocational training the analysis of which reveals their importance for structural changes in the economy. …”
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Structure Feature and Forecast of Bogie Driven Directly by HUANG Zhi-hui, XU Jun-feng

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