Modeling Time Series with SARIMAX and Skew-Normal and Zero-Inflated Skew-Normal Errors by M. Alejandro Dinamarca, Fernando Rojas, Claudia Ibacache-Quiroga, Karoll González-Pizarro

“…The proposed framework demonstrates improved flexibility and robustness compared to traditional Gaussian-based models. Simulation experiments reveal that the skewness parameter significantly affect forecasting accuracy, with reductions in mean absolute error (MAE) and root mean square error (RMSE) observed across both positively and negatively skewed scenarios. …”
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Assessing climate change impacts on wheat production (a case study) by J. Valizadeh, S.M. Ziaei, S.M. Mazloumzadeh

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High efficiency on resin photocatalysis: Study on application and kinetic mechanism using langmuir Hinshelwood Model by Restu Hikmah Ayu Murti, Muhammad Abdus Salam Jawwad, Khusnul Khotimah Ayuningtiyas, Euis Nurul Hidayah

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Simulation model of a chair vibration protective mechanism with a part of quasi-zero-stiffness for the operator of a road-building machine by Korytov M.S., Sherbakov V.S., Pochekueva I.E.

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Integration of BIM and Energy Consumption Modelling for Manufacturing Prefabricated Components: A Case Study in China by Zhao Xu, Shaozhe Wang, Endong Wang

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Nonlinear Model for Condition Monitoring and Fault Detection Based on Nonlocal Kernel Orthogonal Preserving Embedding by Bo She, Fuqing Tian, Weige Liang, Gang Zhang

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Simple-Zero and Double-Zero Singularities of a Kaldor-Kalecki Model of Business Cycles with Delay by Xiaoqin P. Wu

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Office-Based Deep Sedation for Pediatric Ophthalmologic Procedures Using a Sedation Service Model by Kirk Lalwani, Matthew Tomlinson, Jeffrey Koh, David Wheeler

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Non-Contact Oxygen Saturation Estimation Using Deep Learning Ensemble Models and Bayesian Optimization by Andrés Escobedo-Gordillo, Jorge Brieva, Ernesto Moya-Albor

“…Thus, by leveraging Bayesian optimization for hyperparameter tuning and integrating a Bagging Ensemble, we achieved a significant reduction in the training error (bias), achieving a better generalization over the test set, and reducing the variance in comparison with the baseline model for SpO₂ estimation.…”
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Modeling the effects of heat stress on production and enteric methane emission in high-yielding dairy herds by L. Chen, V.M. Thorup, S. Østergaard

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MULTI-OBJECTIVE OPTIMIZATION OF VEHICLE/TRACK PARAMETERS BASED ON RBF NEURAL NETWORK SURROGATE MODEL by XIAO Qian, LUO Chao, OUYANG ZhiXu, CHANG Chao, LUO JiaWen

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Alteration in biochemical parameters in the brain of transgenic Drosophila melanogaster model of Parkinson’s disease exposed to apigenin by Yasir Hasan Siddique, Smita Jyoti

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Energy-Based Optimal Ranking of the Interior Modes for Reduced-Order Models under Periodic Excitation by Ilaria Palomba, Dario Richiedei, Alberto Trevisani

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Nonlinear response of superconducting (YBCO) fractal microstrip resonators: Distributed current ABCD-matrix model by O. A. Kalenyuk, S. I. Futimsky, A. P. Shapovalov

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P2 Hybrid AMT Shift Clutch Engagement Control Strategy based on Model Prediction by Changqing Du, Huan Zhang, Xiliang Cao, Huawu Wang

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Source trancing analysis of nitrogen in the upper reach of Xin’an River Basin based on SWAT model by Ai Wang, Jiangyu Wang, Benjie Luan, Siru Wang, Zhiguo Huo

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Investigating a propagation of emerging carbapenemase-producing Enterobacteriaceae in Dutch broiler production pyramid through stochastic simulation by N. Dankittipong, J.A. Stegeman, C.J. de Vos, J.A. Wagenaar, E.A.J. Fischer

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Electrochemical Seismic Design and Artificial Intelligence System Modeling of High-Rise Steel Structure Buildings by Wenjie Xia

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A Thermodamage Strength Theoretical Model of Ceramic Materials Taking into Account the Effect of Residual Stress by Weiguo Li, Ruzhuan Wang, Dingyu Li, Daining Fang

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Neural network surrogate models for aerodynamic analysis in truck platoons: Implications on autonomous freight delivery by Tong Liu, Hadi Meidani

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