VHR Multispectral Satellite Image Classification with Kolmogorov-Arnold Networks for Urban Applications by M. Fawzy, M. Fawzy, Á. Barsi

“…Obtained KAN classification accuracy and computational efficiency are evaluated compared to SNN, highlighting its strengths in modelling complexity with optimized key model parameters. …”
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Estimating mineral-associated organic carbon saturation and sequestration potential using MIR spectral based local quantile regression by Longnan Shi, Karen Daly, Sharon O’Rourke

“…Moreover, based on correlation analysis and variable importance used in random forest model, soil mineralogy related properties, such as CEC and different cations, followed by land management related covariates, like available phosphorus and climatology, were identified as primary and secondary driving factors behind this variation of MAOC saturation limit. …”
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Resilient Operation Strategies for Integrated Power-Gas Systems by Behdad Faridpak, Petr Musilek

“…The challenge of unpredictability is addressed by an adaptive distributionally robust optimization strategy based on multi-cut Benders decomposition. The uncertainties of HILP events are modeled by different moment-based probability distributions. …”
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Mereological approach to higher-order structure in complex systems: From macro to micro with Möbius by Abel Jansma

“…To illustrate the latter in practice, we decompose the Kullback-Leibler divergence, and show that our method correctly identifies which variables are responsible for the divergence. In addition, we use Rota's Galois connection theorem to describe coarse grainings of mereologies, and efficiently derive the renormalized couplings of a 1D Ising model. …”
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Entrepreneurial engagement and technical grants funding: Analysis of structurally behavioural determinants and economic factors by Abiola John Asaleye, Thobeka Ncanywa

“…This study investigates the influence of structural-behavioural determinants and economic factors on entrepreneurial engagement, focusing on the role of technical grants using Dynamic Ordinary Least Squares and Fully Modified Ordinary Least Squares for long-run analysis, variance decomposition from the Vector Error Correction Model (VECM) for dynamic impact assessment, and VECM for causality analysis. …”
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Decomposing rural-urban differences in depression prevalence: a cross-sectional analysis of two community-based southern Indian cohorts by Jonas S Sundarakumar, Pooja Rai, Pravin Sahadevan, Thomas G Issac

“…In the decomposition analysis, the variables included in this model (age, sex, education, income, marital status, BMI, alcohol use, tobacco use and number of comorbidities) explained 35.21% of the rural-urban disparity in the prevalence of depression, with sex and marital status being the significant contributors.Conclusion Participants in our rural cohort had significantly higher odds for depression as compared to their urban counterparts, with sociodemographic factors playing a key role in this disparity. …”
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Dominant ionic currents in rabbit ventricular action potential dynamics. by Zhechao Yang, Hao Gao, Godfrey L Smith, Radostin D Simitev

“…This study applies Sobol sensitivity analysis, a global variance-decomposition method, to identify the most influential parameters in the Shannon model of rabbit ventricular myocyte action potential (AP). …”
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The Relationship Between Agricultural Fixed Capital Investment and Agricultural Growth in Turkey by Nazife Özge BEŞER, Esra KADANALI

“…According to the results of variance decomposition and impact response functions obtained from the VAR Model, variables were interacted and agricultural growth was affected by fixed capital investments and employment variables. …”

A Hybrid VMD-BO-GRU Method for Landslide Displacement Prediction in the High-Mountain Canyon Area of China by Bao Liu, Jiahuan Xu, Jiangbo Xi, Chaoying Zhao, Xiaosong Feng, Chaofeng Ren, Haixing Shang

“…Prediction models incorporate the trend and periodic terms, alongside the contributing factors, as input variables. …”
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Short-Term Prediction Method for Gas Concentration in Poultry Houses Under Different Feeding Patterns by Yidan Xu, Guanghui Teng, Zhenyu Zhou

“…Combining the advantages of seasonal-trend decomposition using loess (STL), Granger causality (GC), long short-term memory (LSTM), and extreme gradient boosting (XGBoost), an ensemble method called the STL-GC-LSTM-XGBoost model is proposed. …”
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Second-round effects of food prices on core inflation in Turkey by Türken Fatma, Yildirim Mustafa Ozan

“…This study investigates the second-round effects of food price shocks on core inflation using monthly data from January 2013 to June 2024 through a Bayesian Structural Vector Autoregressive (SBVAR) model. Incorporating domestic and international macroeconomic variables, the model identifies second-round effects by imposing theory-based constraints and leveraging Bayesian methods. …”
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The use of process benchmarking in the water industry to introduce changes in the digitization of the company’s value chain by Natalia R. Potoczek

“…IMPLICATIONS FOR THEORY AND PRACTICE: The proposed model is highly conceptual and requires validation in pilot studies to verify the levels of decomposition of the value chain, to select key digital technologies for research and to determine the scale of digital maturity for each of the technologies included in the study. …”
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Inequality in maternal delays related to maternal death at home and en route to a health facility in Ethiopia: insights from national mortality surveillance data by Neamin Tesfay, Rozina Tariku, Girmay Hailu, Haymanot Firde, Fistum Hadgu Woldeyohannes

“…Objective This study aims to quantify and identify the contributors to inequity in the maternal mortality risk index for deaths occurring at home and en route to health facilities.Design and setting Analysis of the Maternal Death Surveillance and Response data, encompassing maternal deaths reviewed in Ethiopia from 2013 to 2020.Analysis The Maternal Mortality Risk Index was computed using 14 variables grouped according to the three contributors to delay model: contributors to delay in seeking care, contributors to delay in reaching care and contributors to delay in receiving optimal care. …”
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Prediction of the transient coolant jet released from the nose cone at supersonic flow via machine learning by Ali Basem, M. Yasiri, Pooya Ghodratallah, Kamal Sharma, Nimesh Raj, S. Abdul Ameer, Mohammed Yaseen Abdullah, Abbas Hameed Abdul Hussein, Mohammed Y. Al-Khuzaie, M. Ahmedi

“…Abstract In this paper, the usage of a predictive surrogate model for the estimate of flow variables in the transient phase of coolant injection from the nose cone by combining the Long Short-Term Memory (LSTM) and Proper Orthogonal Decomposition (POD) technique. …”
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Coal Price Forecasting and Structural Analysis in China by Xiaopeng Guo, Jiaxing Shi, Dongfang Ren

“…Based on the historical data of coal price and related factors such as port stocks, sales volume, futures prices, Producer Price Index (PPI), and crude oil price rate from November 2013 to June 2016, this study aims to forecast coal price using vector autoregression (VAR) model and portray the dynamic correlations between coal price and variables by the impulse response function and variance decomposition. …”
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Multivariate Load Forecasting of Integrated Energy System Based on CEEMDAN-CSO-LSTM-MTL by WANG Yongli, LIU Zeqiang, DONG Huanran, LI Dexin, CHEN Xin, GUO Lu, WANG Jiarui

“…Based on this，a comprehensive energy system short-term load forecasting model is proposed，which combines complete ensemble empirical mode decomposition with adaptive noise （CEEMDAN），cross optimization algorithm （CSO），long short term memory （LSTM） network，and multi task learning （MTL）. …”
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Multiple Classifier System for Handling Imbalanced and Overlapping Datasets on Multiclass Classification by Dessy Siahaan, Anwar Fitrianto, Khairil Anwar Notodiputro

“…The performance of classification models suffer when the dataset contains imbalanced and overlapping data. …”
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The role of technologies, finance, and green energies in transforming Middle East and North African environmental sustainability by Lanouar Charfeddine, Montassar Kahia, Abdul Rahman

“…This paper extends the STIRPAT model by incorporating three variables of interest namely ICT, FDI, and REI. …”
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Genetic inbreeding load and its individual prediction for milk yield in French dairy sheep by Simona Antonios, Silvia T. Rodríguez-Ramilo, Andres Legarra, Jean-Michel Astruc, Luis Varona, Zulma G. Vitezica

“…However, these ancestors carry different alleles at potentially deleterious loci and therefore there is individual variability of this inbreeding load. Estimation of the additive genetic value for inbreeding load is possible using a decomposition of inbreeding in partial inbreeding components due to ancestors. …”
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Analysis of key factors and equity in influenza vaccination among Chinese adults-evidence from a large national cross-sectional survey by Bo Dong, Hengxuan Xu, Ning Tang, Menghan Jiang, Zhihao Lei, Zhihao Lei, Yue Han

“…Subsequently, the importance of influencing factors was assessed through a random forest model, with LASSO used for variable selection. Following this, weighted logistic regression analysis was applied to quantify the significant influencing factors. …”
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