Complex assessing of aridity in Ukraine by Василь Затула

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INCORPORATING COMPLEX SURVEY DESIGN FOR ANALYSING THE DETERMINANT OF WOMEN IN REPRODUCTIVE AGE PARTICIPATION IN FAMILY PLANNING PROGRAM IN INDONESIA by Erni Tri Astuti, Rini Rahani, Setia Pramana

Subjects: “…complex survey design…”
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CISMN: A Chaos-Integrated Synaptic-Memory Network with Multi-Compartment Chaotic Dynamics for Robust Nonlinear Regression by Yaser Shahbazi, Mohsen Mokhtari Kashavar, Abbas Ghaffari, Mohammad Fotouhi, Siamak Pedrammehr

“…Modeling complex, non-stationary dynamics remains challenging for deterministic neural networks. …”
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Selection of a Complex of Informative Features for Assessing the Internal Characteristics of Eggs for Consumption by Toncho Kolev, Mariya Georgieva-Nikolova, Miglena Kazakova, Danail Bonchev, Hristo Lukanov, Zlatin Zlatev

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Statin therapy and atherosclerosis regression by A. V. Susekov

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Assessment for Thermal Conductivity of Frozen Soil Based on Nonlinear Regression and Support Vector Regression Methods by Fu-Qing Cui, Wei Zhang, Zhi-Yun Liu, Wei Wang, Jian-bing Chen, Long Jin, Hui Peng

“…Compared with the unfrozen soil, the specimen preparation and experimental procedures of frozen soil thermal conductivity testing are more complex and challengeable. In this work, considering for essentially multiphase and porous structural characteristic information reflection of unfrozen soil thermal conductivity, prediction models of frozen soil thermal conductivity using nonlinear regression and Support Vector Regression (SVR) methods have been developed. …”
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Fast binary logistic regression by Nurdan Ayse Saran, Fatih Nar

“…Our method achieves training times an order of magnitude faster than traditional logistic regression by employing a novel Soft-Plus approximation, which enables reformulation of logistic regression parameter estimation into matrix-vector form. …”
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Navigating Complexity: Enhancing Infrastructure Megaproject Performance Through Effective Alliance Management Capability by Xiaoyan Chen, Daoan Fan, Yan Liu, Xinyue Zhang

“…Based on 205 surveys collected from 13 megaprojects in China, regression analysis and bootstrapping methods were used to test the research hypotheses. …”
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Regression and ANN Models for Electronic Circuit Design by M. I. Dieste-Velasco, M. Diez-Mediavilla, C. Alonso-Tristán

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LogiTide2DEM: A method for reconstructing intertidal topography in complex tidal flats using logistic regression with multi-temporal Sentinel-2 and Landsat imagery by Yi-Chin Chen, Su-Fen Wang

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Determining parameters of surface defects in the base metal of pipelines using results of complex diagnostics by N.V. Krysko, S.V. Skrynnikov, N.A. Shchipakov, D.M. Kozlov, A.G. Kusyy

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Feature Enhancement Network for Infrared Small Target Detection in Complex Backgrounds Based on Multi-Scale Attention Mechanism by Sen Zhang, Weilin Du, Yuan Liu, Ni Zhou, Zheng Li

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Estimation and prediction in dynamic multi-location multiplex networks by Siddhanth Sabharwal, Yuguo Chen

Subjects: “…Complex networks…”
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Drivers of Carbon Emissions in China’s Construction Industry: A Perspective from Interregional Carbon Transfer by Wenwen Xiao, Wenhao Song, Xuemei Pei, Lili Wang

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Logistic Regression Analysis for Spatial Patterns of Drought Persistence by Rizwan Niaz, Xiang Zhang, Nouman Iqbal, Mohammed M.A. Almazah, Tajammal Hussain, Ijaz Hussain

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An Application of Fuzzy Multiple Linear Regression in Biological Paradigm by Saima Mustafa, Shumaila Ghaffar, Murrium Bibi, Muhammad Ghaffar Khan, Qaisara Praveen, Harish Garg, Mahamane Saminou

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Regression Models for Predicting Physicochemical Properties of Biochar by Chiaw Hui Chiew, Li Yee Lim, Pei Ying Ong, Chunjie Li, Yee Van Fan

“…A comprehensive review of recent literature compared the predictive accuracies of linear, non-linear regression (NLR), quadratic, and multiple linear regression (MLR) models. …”
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Sparse sufficient dimension reduction for directional regression by Gayun Kwon, Gijeong Noh, Kyongwon Kim

“…These methods aim to reduce the complexity of data by focusing on its most informative components and this allows us to avoid ‘curse of dimensionality’. …”
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Random Forest Regression May Become the Optimal Regression Model for Osteoarthritis of the Knee in Elderly, in the Context of Embodied Cognition and Psychosomatic Medicine by Ma G, Chen J, Li J, Shi H, Chen Y

“…All models showed acceptable multicollinearity (VIF < 10), and Kruskal-Wallis results suggested no significant differences in coefficients across models.Conclusion: Random forest regression outperformed other models in predicting depression after KOA treatment, demonstrating its strength in capturing complex nonlinear relationships. …”
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Machine Learning-Based Classification of Suspension Droplet-Solid Wall Impacts for Control of Droplet Fragmentation by Mikhail Vulf, Dmitry Zharikov, Dmitry Kolomenskiy, Dmitry Eskin, Pavel Osinenko

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