Seasonal differences of Wyrtki Jet intraseasonal variabilities by Guojiao Cao, Tengfei Xu, Tengfei Xu, Zexun Wei, Zexun Wei

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Photovoltaic Power Forecasting Based on Variational Mode Decomposition and Long Short-Term Memory Neural Network by Zhijian Hou, Yunhui Zhang, Xuemei Cheng, Xiaojiang Ye

“…This paper presents a hybrid forecasting model that combines Variational Mode Decomposition (VMD) and Long Short-Term Memory (LSTM). …”
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Ideological Field Model in the Ossetian Political Narrative by Tatyana Yu. Tameryan, Viacheslav I. Terkulov

“…The types of interaction between party concepts have been established - these are conceptual blends, adjacency, pairing or additivity. Variable models of political ergonyms and language codes that make them explicit are described. …”
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A Financial Data Analysis Method Based on Time-Series Generative Adversarial Network and Decomposition Learning by Wei Wang, Bo Li

“…In existing works, deep learning combined with stock price series decomposition is a common architecture. Inspired by this, we propose a financial data analysis method based on time series generative adversarial network (TimeGAN) and decomposition learning. …”
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Wheat Production Across East Africa: Trend, Instability, and Decomposition Analysis Using Time Series Approach by Habtamu Mossie Andualem, Mesfin Bekele Gebbisa, Zsuzsanna Bacsi

“…To analyse and estimate wheat production trends, instability with regional disparity, and decomposition across East Africa's top wheat‐producing countries, a 30‐year data series with different secondary data, mostly the FAOSTAT database, was divided into three sub‐periods: Period I (1993/94‐2002/03), Period II (2003/04‐2012/13) and Period III (2013/14‐2022/23), even though compound growth rates, a semi‐logarithmic trend model, a differential equation approach for decomposition analysis, and the Cuddy‐Della Valle Index were utilised. …”
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Experimental and process modelling of chemical composition and thermal ageing of Ti-doped cast Cu-Ni alloy for microstructural, conductivity, and mechanical properties by Cynthia C. Okechukwu, Francis O. Edoziuno, Adeolu A. Adediran, Silas O. Okuma, Augustine B. Okoubulu

“…A response surface methodology (RSM) was employed for statistical analysis, predictive modeling, and optimization, with Ti concentration (0.1–3.5 wt%) and aging temperature (400°C–500°C) as the independent variables, and tensile strength, elongation, hardness, impact strength, and electrical conductivity as response variables. …”
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Experimental Investigation and Machine Learning Modeling of Tribological Characteristics of AZ31/B₄C/GNPs Hybrid Composites by Dhanunjay Kumar Ammisetti, Bharat Kumar Chigilipalli, Baburao Gaddala, Ravi Kumar Kottala, Radhamanohar Aepuru, T. Srinivasa Rao, Seepana Praveenkumar, Ravinder Kumar

“…Machine learning (ML) models, including linear regression (LR), polynomial regression (PR), random forest (RF), and Gaussian process regression (GPR), are implemented to develop a reliable prediction model that forecasts output responses in accordance with input variables. …”
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Surface processes and drivers of the snow water stable isotopic composition at Dome C, East Antarctica – a multi-dataset and modelling analysis by I. Ollivier, I. Ollivier, H. C. Steen-Larsen, B. Stenni, L. Arnaud, M. Casado, A. Cauquoin, G. Dreossi, C. Genthon, B. Minster, G. Picard, M. Werner, A. Landais

“…We find that the precipitation isotopic signal cannot fully explain the mean, nor the variability in the isotopic composition observed in the snow, from annual to intra-monthly timescales. …”
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Socioeconomic Inequality in Chronic Complications of Type 2 Diabetes Mellitus in Iran: Concentration Index and Decomposition Approach by Sedigheh Mafakheri, Erfan Ayubi, Shiva Borzouei, Vajiheh Ramezani Doroh, Salman Khazaei

“…A binary logistic regression model was utilized to investigate the relationship between diabetes complications and independent variables. …”
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Analysis, Forecasting, and System Identification of a Floating Offshore Wind Turbine Using Dynamic Mode Decomposition by Giorgio Palma, Andrea Bardazzi, Alessia Lucarelli, Chiara Pilloton, Andrea Serani, Claudio Lugni, Matteo Diez

“…This article presents the data-driven equation-free modeling of the dynamics of a hexafloat floating offshore wind turbine based on the application of dynamic mode decomposition (DMD). …”
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Predicting Chemical Body Composition Using Body Part Composition in Boer × Saanen Goats by Izabelle A. M. A. Teixeira, Adrian F. M. Ferreira, José M. Pereira Filho, Luis O. Tedeschi, Kleber T. Resende

“…These body parts were used to develop prediction models for estimating body composition. The neck, loin, and 9–11th ribs accurately and precisely predicted the dry matter, ash, fat, protein, and energy body composition of goats, with most models also incorporating BW as a predictor variable. …”
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Composition of the freshwater decapod crustacean communities in an area of mining in Brazilian Amazonia and the variation related to environmental parameters by Katherine Soares Morais, Claudia Antônia Campos Rodrigues de Oliveira, Alexandre de Oliveira Marques, Fúlvio Aurélio de Morais Freire, Lílian Lund Amado, Maria Clara Pinheiro de Souza, Leandro Machado de Carvalho, Gustavo Quevedo Romero, Bianca Bentes

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Optimization of the composition of polysaccharide-based composite films as a potential food packaging material by T. V. Kryuk, T. G. Tyurina, O. S. Popova, N. A. Romanenko, G. P. Goncharuk, E. N. Trush

“…Theoretical calculations based on the regression model demonstrated a high correlation with the experimental data. …”
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Self-excited Pulsations and the Instability Strip of Long-period Variables: The Transition from Small-amplitude Red Giants to Semi-regular Variables by Michele Trabucchi, Giada Pastorelli

“…This is critical for model-based studies of the PL relations of evolved stars and to exploit their potential as distance and age indicators, in particular given the sensitivity of the onset of pulsation to the envelope composition. …”
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Techno-economic and life-cycle analysis of strategies for improving operability and biomass quality in catalytic fast pyrolysis of forest residues by David N. Thompson, Damon S. Hartley, Matthew R. Wiatrowski, Jordan Klinger, Rajiv Paudel, Longwen Ou, Hao Cai

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Functional traits mediate the elevational patterns of functional diversity and community structure of mosses in a tropical mountain area by Liqin Fu, Chengxiu Zhan, Haozhe Wang, Shikai Song, Peng Xu, Lina Zhang, Jiancheng Zhao, De Gao

“…We applied generalized additive models with a Gaussian function of variance to determine the elevational patterns of functional trait composition, diversity and community structure. …”
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A reduced simulation applied to viscoelastic fatigue of polymers using a time multi-scale approach based on partition of Unity method by Sebastian Rodriguez, Angelo Pasquale, Jad Mounayer, Diego Canales, Marianne Beringhier, Chady Ghnatios, Amine Ammar, Francisco Chinesta

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Climate Variability and Fish Community Dynamics: Impacts of La Niña Events on the Continental Shelf of the Northern South China Sea by Zikai Liu, Jiajun Li, Junyi Zhang, Zuozhi Chen, Kui Zhang

“…Species distribution models incorporating key environmental variables (i.e., sea surface temperature, salinity, and dissolved oxygen) demonstrated that the habitat of <i>D. maruadsi</i> expanded significantly during La Niña and contracted during post-event periods. …”
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Secondary Hybrid Decomposition Strategy for Wind Power Prediction Using Long Short-Term Memory With Crisscross Optimization by Yoseph Mekonnen Abebe, Habtamu Kassa Bayu, Tekalign Tesfaye Mengistu, Abera Tullu, Sunghun Jung

“…Two sets of wind farm data are used to validate the accuracy of the model. A comparative study shows that the proposed SHD-LSTM-CSO model performs better than other hybrid models such as SHD-LSTM, EMD-LSTM, LSTM based on variable mode decomposition (VMD) (VMD-LSTM), Gray Worm Optimization-based backpropagation neural network (GWO-BPANN) and EMD-based Artificial Neural Network (EMD-ANN) methods.…”
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Integrated Optimization of Manufacturing and Reinforcement Parameters in Hybrid Reinforced Aluminum Matrix Composites through Multi-Response Research and Taguchi-Grey Relationship... by Chandrasekhar Rao Bandaru, Seshappa Angadi, Mounika Thati, Subbaratnam Bhavanasi, Prudhvi Raj Konka, Ganni Aditya

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