Optimizing oil salt analysis in southern Iran: A comprehensive statistical model for ASTM D3230 electrochemical cell device utilizing advanced analytical approaches by M. Shirali, F. Mirhashemi

“…Various statistical tests, including ANOVA, are employed to develop significant regression models that offer an evolutionary and augmented reality perspective on the statistical and experimental data from the D3230 electrochemical cell, Petrotest device, and the IP 77/79 method. …”
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Machine learning-driven prognostic prediction model for composite small cell lung cancer: identifying risk factors with network tools and validation using SEER data and external co... by Fei Li, Mengfan Zhao, Linlin Cao, Shuai Qie

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Estimation of the compressive strength of ultrahigh performance concrete using machine learning models by Rakesh Kumar, Divesh Ranjan Kumar, Warit Wipulanusat, Chanachai Thongchom, Pijush Samui, Baboo Rai

“…Using traditional statistical methods, it is difficult for us to quantify the relationships between the technical properties of UHPC and the composition of the mixture because of their complexity and nonlinearity. …”
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Efficient Screening in Obstructive Sleep Apnea Using Sequential Machine Learning Models, Questionnaires, and Pulse Oximetry Signals: Mixed Methods Study by Nai-Yu Kuo, Hsin-Jung Tsai, Shih-Jen Tsai, Albert C Yang

“…ConclusionsAlthough a composite model using multiple saturation parameters exhibits higher accuracy, optimizing this model by identifying key factors is essential. …”
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Lithospheric structure in the Baikal–central Mongolia region from integrated geophysical‐petrological inversion of surface‐wave data and topographic elevation by J. Fullea, S. Lebedev, M. R. Agius, A. G. Jones, J. C. Afonso

“…Recent advances in computational petrological modeling provide accurate methods for computing seismic velocities and density within the lithospheric and sub‐lithospheric mantle, given the bulk composition, temperature, and pressure within them. …”
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A Hybrid LMD–ARIMA–Machine Learning Framework for Enhanced Forecasting of Financial Time Series: Evidence from the NASDAQ Composite Index by Jawaria Nasir, Hasnain Iftikhar, Muhammad Aamir, Hasnain Iftikhar, Paulo Canas Rodrigues, Mohd Ziaur Rehman

“…It incorporates LMD (Local Mean Decomposition), SD (Signal Decomposition), and sophisticated machine learning methods. The framework for the NASDAQ Composite Index begins by decomposing the original time series into stochastic and deterministic components using the LMD approach. …”
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Lattice Boltzmann Model for Rarefied Gaseous Mixture Flows in Three-Dimensional Porous Media Including Knudsen Diffusion by Michel Ho, Jean-Michel Tucny, Sami Ammar, Sébastien Leclaire, Marcelo Reggio, Jean-Yves Trépanier

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A Neural Network Constitutive Model and Automatic Stiffness Evaluation for Multiscale Finite Elements by Aliki D. Mouratidou, Georgios E. Stavroulakis

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STUDY ON BEND-TWIST COUPLING CHARACTERISTICS OF WEB OFFSET FOR LARGE WIND TURBINE BLADES (MT) by WANG HaiSheng, MIAO WeiPao, LI Chun, ZHANG Li, YAN YangTian, LI Zhi Hao, YUE Min Nan

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Determination of damage to undeletable and deletable windows of promising penetrators from the impact of high-speed regolith particles during impact penetration into the soil of th... by D. B. Dobriza, E. V. Leun

“…The calculation method and the calculated values of damage to these windows from the impact of spherical particles of lunar regolith with diameters of 1,0 and 1,5 mm, colliding with them at speeds of up to 1 km/s in the angular range from 70° to 80°, obtained using numerical modeling or based on an engineering model, are discussed.…”
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First Main Problem of the Theory of Elasticity for a Layer with Two Thick-Walled Pipes and One Cylindrical Cavity by Oleksandr Yu. Denshchykov

Influence of geopolymer foam concrete on the mechanical performance of cold-formed steel built-up columns by Yanchun Li, Jiahong Wei, Aihong Han, Yun Xu, Menghui Qiao, Dazhi He

“…A calculation method is proposed to accurately determine the bearing capacity of CFS-GFC composite columns under axial compression, with the validity of the formula confirmed through extensive FEM analysis and experimental data.…”
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Comparision of Constant-Span and Influence Line Methods for Long-Span Bridge Load Calculations by Ainars Paeglitis, Andris Freimanis

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Optimization the preparation of whey protein from pasteurized liquid milk using Response Surface Methodology and Artificial Neural Network Model by Md. Anwar Hossain, Kanika Mitra, Md. Munnaf Hossen, Shammi Akhter

“…An optimization technique was done using Central Composite Design (CCD). The ideal Alcalase-hydrolysis settings were optimized for producing whey protein using RSM of DPPH (Association of Official Analytical Chemists (AOAC) method) and amino acid activity (High Performance Liquid Chromatography (HPLC) method). …”
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Identification and optimization of relevant factors for chronic kidney disease in abdominal obesity patients by machine learning methods: insights from NHANES 2005–2018 by Xiangling Deng, Lifei Ma, Pin Li, Mengyang He, Ruyue Jin, Yuandong Tao, Hualin Cao, Hengyu Gao, Wenquan Zhou, Kuan Lu, Xiaoye Chen, Wenchao Li, Huixia Zhou

“…Furthermore, an optimal predictive model was developed for CKD using ten machine learning algorithms and enhanced model interpretability with the Shapley Additive Explanations (SHAP) method. …”
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Hybrid Compensation Method for Non-Uniform Creep Difference and Hysteresis Nonlinearity of Piezoelectric-Actuated Machine Tools Under S-Shaped Curve Trajectory by Dong An, Zicheng Qin, Yixiao Yang, Xiaoyang Yu, Chaofeng Li

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Fast and Intelligent Proportional–Integral–Derivative (PID) Attitude Control of Quadrotor and Dual-Rotor Coaxial Unmanned Aerial Vehicles (UAVs) Based on All-True Composite Motion... by Zhen Wang, Qi Yuan, Yi Zhu, Yifan Hu, Heng Chen, Xingbo Xie, Wenbin Gu

“…The simulation and experimental results show that the proposed all-true composite motion model and controller design method can accurately simulate the dynamic characteristics of the two types of UAVs and maintain stable attitude control, thus providing a valuable reference for the accurate attitude control of rotorcraft UAVs based on all-true composite motion.…”
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AI-Enhanced Photovoltaic Power Prediction Under Cross-Continental Dust Events and Air Composition Variability in the Mediterranean Region by Pavlos Nikolaidis

“…Using machine learning methods, particularly regression trees, the proposed approach evaluates the impact of key environmental variables on PV performance, with an emphasis on atmospheric dust transport and air composition variability. …”
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Simulation of Material Removal Process in EDM with Composite Tools by Shengfang Zhang, Wenchao Zhang, Puyong Wang, Yu Liu, Fujian Ma, Dapeng Yang, Zhihua Sha

“…In order to predict the wear of composite tool effectively, in this paper, a material removal model of single-pulse EDM with composite tools was established by using the finite element method. …”
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Optimal Design of Variable-Stiffness Fiber-Reinforced Composites by Evangelos P. Hadjigeorgiou, Christos A. Patsouras, Vassilios K. Kalpakides

“…In this paper, the problem of optimal spatial orientation of fibers in a two-dimensional composite structure under in-plane loading is studied, using the strain energy-minimizing method. …”
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