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

“…The dependent variable, CL, is analyzed about various factors, including relative compactness, wall area, roof area, orientation, surface area, overall height, glazing area, and glazing area distribution. …”
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Role of hydrometeorological factors and solar activity in interannual variability of ice extent in the East Siberian Sea by L. A. Timokhov, V. E. Borodachev, I. V. Borodachev, N. A. Vyazigina, E. U. Mironov, M. Janout

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Regression Models in Analysis of the Laryngeal Cancer Incidence Trends in Females in Podkarpackie Voivodship by Jan Gawełko, Marek Cierpiał-Wolan, Sebastian Wójcik

“…Dynamics of cancer incidences derived from raw data is misleading. Therefore, to analyze the dynamics of the phenomenon three regression models have been used to remove random disturbance: ARX(1), SVR and Poisson regression model. …”
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Payment Status Classification Invoice Bank Using Logistic Regression and Random Forest by Farah Anindia Putri, Mujiati Dwi Kartikasari

“…This study aims to analyze the factors that affect invoice payment status based on company type, procurement type, and invoice value. …”
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Spatiotemporal Differentiation of Carbon Emission Efficiency and Influencing Factors in the Five Major Maize Producing Areas of China by Zhiyuan Zhang, Huiyan Qin

“…Kernel density estimation and the Dagum Gini coefficient are used to analyze spatiotemporal disparities, while a geographically and temporally weighted regression (GTWR) model explores the underlying drivers. …”
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Analysis of Poverty Status of Ebonyi State Farming Households by Ogechi Cordelia Nwahia, Benjamin Ahmed, Edwin Onyeabor, Stanley Balogun

“…Primary data were collected using electronic data capturing instrument containing the questionnaire and analyzed using descriptive statistics, Foster, Greer and Thorbeecke (FGT), and Logit regression model. …”
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Prognostic model for predicting recurrence in breast cancer patients in Saudi Arabia by Ousman Khan, Jimoh Olawale Ajadi, Fahad Almsned, Hani Almohanna, Amjad Alrasheed, Ridwan A. Sanusi, Nurudeen A. Adegoke

“…Using multivariable penalized logistic regression combined with a nested cross-validation framework and multivariate Cox regression analysis to determine time-dependent risk factors for breast cancer recurrence, we developed prognostic models that incorporated age, stage, tumor size, and treatment type. …”
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Strategic analysis of influence of external and internal factors on stability of the banking sector of a financial system by A. V. Milenkov

“…In the article is analyzed influence of economic and financial changes of external and internal environments on stability of banks of a regional financial system; is introduced for scientific use determination of the concept «sustainable ability of a bank system»; are given recommendations about accounting of economic risks about external factors of influence on bankingsystem stability; are created and are quantitatively interpreted regression systems of economic indicators and assets of the banking sector of the cities of Moscow and St. …”
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Bayesian Modeling of Traffic Accident Rates in Poland Based on Weather Conditions by Adam Filapek, Łukasz Faruga, Jerzy Baranowski

“…This study employs Bayesian Poisson regression to model traffic accident rates in Poland, focusing on the intricate relationships between weather conditions and socioeconomic factors. …”
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Barriers to preventive care: analyzing the socio-ecological determinants of cardiovascular health in pregnant women by Cynthia L. Fok, Saanie Sulley, Alicia Aroche, Deidre McDaniel, Deborah Frazier

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Logistic Regression Analysis of Clinical Characteristics for Differentiation of Chronic Obstructive Pulmonary Disease Severity by Shuaixing Guo

“…A mild-to-moderate group and a severe group were classified depending on the severity of COPD, and their baseline data were compared. The predictive factors of severe COPD were analyzed by univariate and multivariate logistic regression, and the nomogram model of severe COPD was constructed. …”
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Hospitalization costs of oral cancer patients in Southeast of China: a quantile regression analysis by Xiaodan Bao, Weihai Huang, Yulan Lin, Fa Chen, Fengqiong Liu, Yu Qiu, Bin Shi, Lisong Lin, Jing Wang, Baochang He

“…Therefore, this study aims to systematically analyze the hospitalization costs and identify the factors influencing these costs among oral cancer inpatients. …”
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DETERMINING STUDENT GRADUATION BASED ON SCHOOL LOCATION USING GEOGRAPHICALLY WEIGHTED LOGISTIC REGRESSION by Hendra Perdana, Neva Satyahadewi, Fritzgerald Muhammad Arsyi

“…This study aims to determine the model for analyzing the factors that influence the graduation of FMIPA students using GWLR. …”
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Estimation of soil thickness in karst landforms using a quantile regression forests approach by Fayong Fang, Ruyi Zi, Zhen Han, Qian Fang, Rui Hou, Longshan Zhao

“…This indicates that the model, and environmental factors evaluated within, explained a little less than half of the spatial variability. …”
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Large biogenic contribution to boundary layer O3‐CO regression slope in summer by Ye Cheng, Yuhang Wang, Yuzhong Zhang, Gao Chen, James H. Crawford, Mary M. Kleb, Glenn S. Diskin, Andrew J. Weinheimer

“…The observations are simulated well by a regional chemical transport model. We analyze the model results to understand the factors contributing to the observed O3‐CO regression slope, which has been used in past studies to estimate the anthropogenic O3 production amount. …”
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Assessment of the Spatiotemporal Evolution Characteristics and Driving Factors of Ecological Vulnerability in the Hubei Section of the Yangtze River Economic Belt by Shuai Wu, Guanzhong Zeng, Jie Sun, Xiaohuang Liu, Xuanhui Li, Qinghua Zeng, Shijie Gu

“…Based on the pressure–state–response–management model, this study analyzes the spatial and temporal evolution characteristics of the ecological vulnerability of the Hubei section of the YREB and its influencing factors using G1–CRITIC–game theory combination weighting, the Theil index, and the Ridge regression model. …”
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Thermal Mitigation in Coastal Cities: Marine and Urban Morphology Effects on Land Surface Temperature in Xiamen by Tingting Hong, Xiaohui Huang, Qinfei Lv, Suting Zhao, Zeyang Wang, Yuanchuan Yang

“…The study area was categorized based on the influence of marine factors, and the spatial relationships between urban morphological elements and LST were analyzed using a multiscale geographically weighted regression model. …”
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Analyzing and Forecasting E-Commerce Adoption Drivers Among SMEs: A Machine Learning Approach by Yomna Daoud, Aida Kammoun

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Analyzing cropland fragmentation evolution and driving mechanisms in Shandong through MSPA and landscape metrics integration by Tianwei Zhang, Wei Li, Zengfeng Zhao, Meizhen Bi, Yi Zheng

“…Finally, the driving factors are explored using Multiscale Geographically Weighted Regression (MGWR). …”
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An Investigation in Analyzing the Food Quality Well-Being for Lung Cancer Using Blockchain through CNN by Mohamed Abdelkader Aboamer, Mohamed Yacin Sikkandar, Sachin Gupta, Luis Vives, Kapil Joshi, Batyrkhan Omarov, Sitesh Kumar Singh

“…Subsequently, the CNN accuracy has been measured to understand how these factors affect the accuracy. A linear regression analysis has been carried out in IBM SPSS where the independent variables selected are image dataset augmentation, epochs, features, pixel size (90 × 90 to 512 × 512), kernel size (0–7), filters (10–40), and padding. …”
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