A Support Vector Regression Approach for Three–Level Longitudinal Data by Mohammad Moqaddasi Amiri, Leili Tapak, Javad Faradmal

“…In this paper a mixed-effects least squares support vector regression model is presented for three-level longitudinal data. …”
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CFD-driven regression models for enhancing photovoltaic performance with nano fluid Cooling: Economic and environmental analysis by Mehdi Abedinzadeh Baghal Khosh Naghsh, Mohammad Hassan Shahverdian, Hoseyn Sayyaadi, Ramtin Javadijam

“…Numerical data from ANSYS Fluent simulations are used to train various regression models, with the most accurate model selected for predicting annual energy output and minimizing costly experimental tests. …”
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3D Part Machining Time Prediction With Parameter Extraction, Deep Learning, and 3D Data Augmentation by Umut Nazmi Aktan, Mehmet Dikmen

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A Deep Learning-Based Mapping Model for Three-Dimensional Propeller RANS and LES Flow Fields by Jianhai Jin, Yuhuang Ye, Xiaohe Li, Liang Li, Min Shan, Jun Sun

“…The model utilizes a deep learning method for computer vision to handle three-dimensional data generated by RANS and those by LES. …”
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Drug repurposing targeting COVID-19 3CL protease using molecular docking and machine learning regression approaches by Imra Aqeel, Abdul Majid, Abdullah Albanyan, Hassan Wasfi

“…Our outcomes demonstrated that the Decision Tree Regression (DTR) model, with the best scores of R² and RMSE, is the most suitable model to explore the potential drugs. …”
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COMPARISON OF POISSON REGRESSION AND GENERALIZED POISSON REGRESSION IN MODELING THE NUMBER OF INFANT MORTALITY IN WEST JAVA 2022 by Toha Saifudin, Fatiha Nadia Salsabila, Mubadi'ul Fitriani, Azizatul Kholidiyah, Nina Auliyah, Fildzah Tri Januar Ariani, Suliyanto Suliyanto

“…The initial Poisson regression results showed that X1, X2, X4, and X5 significantly influenced infant mortality, while the GPR model showed that only X2 and X3 were significant factors, with a dispersion parameter of -3.116. …”
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MODELING TOTAL FERTILITY RATE IN INDONESIA: A COMPARISON OF FOURIER SERIES REGRESSION AND ELASTIC NET REGRESSION by Fadhilah Fitri, Melin Wanike Ketrin, Mawanda Almuhayar

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STATISTICAL DOWNSCALING MODEL WITH PRINCIPAL COMPONENT REGRESSION AND LATENT ROOT REGRESSION TO FORECAST RAINFALL IN PANGKEP REGENCY by Sitti Sahriman, Andi Sri Yulianti

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Variant regression modeling of electricity production in the Russian Federation by S. I. Noskov, E. S. Popov, S. P. Seredkin, V. V. Tirskikh, V. D. Toropov

“…The second of them does not react to outliers at all, completely ignoring them, and the third, on the contrary, strongly gravitates towards them, therefore, these methods are a kind of antagonists in relation to each other.Result. Three alternative models of a linear regression model of electricity production with high accuracy are obtained. …”
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POISSON REGRESSION MODELLING OF AUTOMOBILE INSURANCE USING R by Sandy Vantika, Mokhammad Ridwan Yudhanegara, Karunia Eka Lestari

“…Insurance claims can be modelled by Poisson regression. Poisson regression is used to analyze the count data with Poisson distributed data responses. …”
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Hierarchical Neural Regression Models for Customer Churn Prediction by Golshan Mohammadi, Reza Tavakkoli-Moghaddam, Mehrdad Mohammadi

“…In the literature, the better applicability and efficiency of hierarchical data mining techniques has been reported. This paper considers three hierarchical models by combining four different data mining techniques for churn prediction, which are backpropagation artificial neural networks (ANN), self-organizing maps (SOM), alpha-cut fuzzy c-means (α-FCM), and Cox proportional hazards regression model. …”
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Quadratic Regression Models for Profile Picture NFT Valuation by Geun-Cheol Lee, Hoon-Young Koo, Heejung Lee

“…We apply Term Frequency-Inverse Document Frequency (TF-IDF) to quantify attributes of NFTs. Three hedonic models—linear, quadratic, and full quadratic—are proposed. …”
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Predicting Three-Dimensional (3D) Printing Product Quality with Machine Learning-Based Regression Methods by Ahmet Burak Tatar

“…Machine learning-based regression models were employed to optimize product quality. …”
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MODELING CLUSTERWISE LINEAR REGRESSION ON POVERTY RATE IN INDONESIA by Eni Meylisah, Dyah Setyo Rini, Herlin Fransiska, Winalia Agwil, Bagus Sartono

“…Therefore, this study aimed to determine the poverty rate modeling in Indonesia with the CLR method. The results showed that the best model is with 3 clusters, that for cluster 1, the factors that significantly affect the percentage of poverty are the percentage of electricity users , the number of small and micro industries and the number of tourist villages n cluster 2, the amount of village tours . …”
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Modeling the density of chlorinated brines with nonlinear multivariate regressions by Mauricio Sepúlveda, Thierry Bertrand De Saint Pierre Sarrut, Andrés Soto-Bubert, Rashmi Bhardwaj, Roberto Acevedo

“…Nevertheless, some techniques enable modeling ''interpretable'' regressions for multivariate and nonlinear data. …”
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MULTILEVEL REGRESSIONS FOR MODELING MEAN SCORES OF NATIONAL EXAMINATIONS by Khalilah Nurfadilah, Muhammad Nur Aidi, Khairil A. Notodiputro, Budi Susetyo

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SENSITIVITY ANALYSIS OF PRIOR DISTRIBUTIONS IN REGRESSION MODEL ESTIMATION by AYOADE I ADEWOLE, OLUWATOYIN K BODUNWA

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An algorithm for distributed parameter estimation in modal regression models by Xuejun Ma, Xiaochao Xia

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Longitudinal Data Regression Analysis Using Semiparametric Modelling by Abdulla Mamun, Sudhir Paul

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A New Lifetime Model, Stochastic Orders and Kidney Infection Regression Model by Araf Khanjari Idenak, Mohammad Reza Zadkarami, Seyed Mohammad Reza Alavi

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