FORECASTING OF CCD IN FAMILIES BY MEANS OF A METHOD OF LOGISTIC REGRESSION IN KRASNOYARSK by S. Yu. Nikulina, A. A. Chernova, V. A. Shulman, T. D. Vereshchagina, V. N. Chernov

“…Forecasting of emergence of cardiac conduction defects (CCD) by means of a method of multiple logistic regression for implementation of early diagnostics, primary prevention and the personified approach to treatment.Material and methods. …”
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Time series extrinsic regression for reconstructing missing electron temperature in tokamak by Minglong Wang, Chenguang Wan, Jingjing Lu, Zhi Yu, Bingjia Xiao, Yanlong Li, Xiaoxue He, Zhengping Luo, Qiping Yuan, Yemin Hu, Jiangang Li

“…By constructing and training TSER models, we can effectively reconstruct missing electron temperature measurement while capturing the complex interrelationships within multiple time series signals. …”
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An Analysis of the Visual Complexity on Academic Library Websites Based on Berlyne’s Complexity Theory by Maryam Tavosi, Nader Naghshineh, Mohammad Zerehsaz, Siamak Mahboub

“…The Beta coefficient of linear regression between the visual complexity of academic library websites and the rank of the university is -0.502, and Sig=0.001, obtained for the top Iranian universities. …”
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Reducing Unnecessary Handovers Using Logistic Regression in 5G Networks by Alison M. Fernandes, Hermes I. Del Monego, Bruno S. Chang, Anelise Munaretto

“…This paper proposes using machine learning in 5G mobile networks, employing a Logistic Regression algorithm to predict handovers. Considering selection criteria like Reference Signal Received Power, Signal-to-Interference-Plus-Noise Ratio, Received Signal Strength Indicator, and distance, our proposal shows that it can significantly reduce the consequences of frequent handovers and provide a better quality of service to the user, together with low computational complexity. …”
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Hybrid Framework To Exclude Similar and Faulty Test Cases In Regression Testing by Muhammad Asim Siddique, Wan M.N. Wan-Kadir, Johanna Ahmad, Noraini Ibrahim

“…However, as the software systems grow in complexity, the number of test cases in regression suite can become large which results into more testing time and resource consumption. …”
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Optimisation-Based Feature Selection for Regression Neural Networks Towards Explainability by Georgios I. Liapis, Sophia Tsoka, Lazaros G. Papageorgiou

“…Regression is a fundamental task in machine learning, and neural networks have been successfully employed in many applications to identify underlying regression patterns. …”
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Relevancy Prediction of the Emerging Pathogens with Porcine Diarrhea by Logistic Regression Model by Benqiang Li, Jie Tao, Xin Li, Jinghua Cheng, Ying Shi, Pan Tang, Huili Liu

“…Porcine viral diarrhea has always been one of the main obstacles to the healthy development of the pig industry in China with its variety of pathogens and complexity of co-infections. Analysis of the dominant mixed-infection model is a fundamental step in boosting the prevention and control of porcine diarrhea. …”
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Automated differentiation of wide QRS complex tachycardia using QRS complex polarity by Adam M. May, Bhavesh B. Katbamna, Preet A. Shaikh, Sarah LoCoco, Elena Deych, Ruiwen Zhou, Lei Liu, Krasimira M. Mikhova, Rugheed Ghadban, Phillip S. Cuculich, Daniel H. Cooper, Thomas M. Maddox, Peter A. Noseworthy, Anthony Kashou

“…Abstract Background Wide QRS complex tachycardia (WCT) differentiation into ventricular tachycardia (VT) and supraventricular wide complex tachycardia (SWCT) remains challenging despite numerous 12-lead electrocardiogram (ECG) criteria and algorithms. …”
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Assessment of thermal and physicochemical properties of mechanic village soils derived from two different geological formations in Ogun State, Nigeria by Saheed Adekunle Ganiyu, OluwaseunTolutope Olurin, Michael Olugbenga Olobadola, Oluwamayowa Iseoluwa Onakoya

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Assessment and forecasting of the russian regions attractiveness as a factor of Interregional migration by R.  V.  Fattakhov, M.  M.  Nizamutdinov, A.  R.  Atnabaev, M. I.  Akhmetzyanova

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Analysis of the data of hydrogeochemical monitoring of groundwater in the North Sivash artesian basin by K. Ya. Bulakhova, S. M. Sudarikov

Subjects: “…sarmatian-meotic-pontian aquifer complex…”
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Reconstruction of Wing Structure Deformation Based on Particle Swarm Optimization Ridge Regression by Xinyi Wu, Zhiwei Xu, Jie Zeng

“…A structural deformation monitoring and reconstruction method, PSO-RR (particle swarm optimization-ridge regression) algorithm, is proposed. A variety of different complex load cases are applied to the airfoil structure, and the strain values at some specific positions of the structure are collected. …”
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Neural Networks vs. Regression: A Comparative Analysis in Medical Data Processing by Minodora ANDOR, Gheorghe Ioan MIHALAŞ

“…Conclusion: AI-based models are, indeed, recommended for data processing of large and/or unstructured complex medical data sets. However, as a conclusion of this study, regression models proved to be a more practical and reliable choice for small-scale medical predictions. …”
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Ranked Set Sampling Based Regression Estimators in Two-Stage Sampling Design by Worthing Yanglem, Phrangstone Khongji

“…This approach provides a promising method for enhancing regression analysis in complex sampling scenarios.…”
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Symbolic regression modelling of the linear growth rates of stationary cross-flow instabilities by Lucas Pascal

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Cooling Load Prediction via Support Vector Regression in Individual and Hybrid Approaches by Honglei Yao, Andrew Topper

“…The application of Support Vector Regression Model to the prediction of cooling load is explored in this study. …”
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OUTLIER IDENTIFICATION ON PENALIZED SPLINE REGRESSION MODELING FOR POVERTY GAP INDEX IN JAVA by Anggita Rizky Fadilah, Anwar Fitrianto, I Made Sumertajaya

“…The result shows that penalized spline regression model has a higher R2 than OLS regression. …”
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Survival time analysis in women with breast cancer using distributional regression models by Isabela da Silva Lima, Sóstenes Jerônimo da Silva, Carla Regina Guimarães Brighenti, Luiz Ricardo Nakamura, Tiago Almeida de Oliveira, Milena Edite Casé de Oliveira, Thiago Gentil Ramires

“…Hence, this study analyzes variables associated with survival time in breast cancer patients in Campina Grande, Paraíba State, Brazil. Distributional regression models, also known as generalized additive models for location, scale, and shape (GAMLSS), were used due to their flexibility in explaining complex behaviors of a given response (for example, survival time) based on other variables. …”
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Investigation of Magnetized Casson Nanofluid Flow along Wedge: Gaussian Process Regression by M. Shanmugapriya, R. Sundareswaran, S. Gopi Krishna, Abdu Alameri

“…This study investigates the application of soft computing techniques to address the challenges posed by the complexity of problem modeling and numerical methods. …”
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Exploring groundwater potential: Combining GIS techniques with OLS, GWR, and exploratory regression by Zhu Huisheng, Amnah A Alasgah, Imran Ahmad, Mithas Ahmad Dar, Martina Zelenakova, Milashu Sisay, Getanew Sewnet Zewdu, Youssef M. Youssef

“…Utilizing GIS, remote sensing, Geographically Weighted Regression (GWR), and exploratory regression analysis, the research aims to map groundwater potential. …”
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