Calibration of miniature air quality detector monitoring data with PCA–RVM–NAR combination model by Bing Liu, Yirui Zhang

“…Thirdly, taking the extracted principal components as independent variables and the observed values of pollutant concentrations as dependent variables, a PCA–RVM model is established by the relevance vector machine. …”
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Classification of Invoice Images By Using Convolutional Neural Networks by Sait Ali Uymaz, Ömer Arslan

“…Data preprocessing techniques such as correcting the curvature and aspect ratio of the invoices and image augmentation with variable brightness ratio were applied to create the data sets. …”
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THE EFFECT OF BORROWER’S CAPACITY TO PAY ON LOAN REPAYMENT IN UGANDA DURING COVID-19 PANDEMIC by moses Agaba

“…The collected data was cross checked for errors omission and completeness, coded and analyzed using SPSS computer package. …”
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3D convolutional deep learning for nonlinear estimation of body composition from whole body morphology by Isaac Y. Tian, Jason Liu, Michael C. Wong, Nisa N. Kelly, Yong E. Liu, Andrea K. Garber, Steven B. Heymsfield, Brian Curless, John A. Shepherd

“…Nonlinear GPR produced up to a 20% reduction in prediction error and up to a 30% increase in precision over linear regression for both sexes in 10 tested body composition variables. …”
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Mathematical modelling and forecasting of the Lithuanian export by Virmantas Kvedaras, Rimantas Rudzkis

“…The stationarity of Lithuanian export and the main explored exogenous variables (GDP, import values, exchange rates and CPI) are analysed using the augmented Dicky–Fuller test. …”
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Enhancing Attendance Management Through Face Recognition Technology: A Case Study at Rugarama School of Nursing and Midwifery. by Taremwa, Benjamin

“…However, limitations such as lighting variability and dataset size indicate further refinements are needed to optimize the system for broader implementation.…”
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Evaluating the predictive potential of RSM and ANN models in treatment of greywater-syrup mixture using Ekowe clay-PEM microbial fuel cell by Livinus A. Obasi, Cornelius O. Nevo

“…The power density and COD removal predictive abilities of the ANN and RSM models were evaluated in terms of error functions: root mean square error (RMSE) (0.512; 0.0557), chi-square (0.0510; 0.1240), model predictive error (MPE) (0.3326; 0.3526), and coefficient of determination (R2) (0.9954; 0.9051) and RMSE (0.0272; 0.0707), chi-square (0.0280; 0.181), MPE (0.08242; 0.1569), and R2 (0.9932; 0.9245), respectively. …”
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Prevalence of Alcohol Use Disorder among Medical Students in New Delhi: A Cross-Sectional Study by Aninda Debnath, Anita Verma, Priyansha Gupta, Sneha Jindal

“…Associations between AUD and variables were examined using Chi-square tests. Significant variables (P < 0.2) in univariate analysis were considered in multivariate logistic regression (P < 0.05). …”
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Reliability of Goniometric Techniques for Measuring Hip Flexor Length Using the Modified Thomas Test by Kira Eimiller, Emma Stoddard, Briana Janes, Mason Smith, Andrew Vincek

“…The SEMs indicated minimal variability around the mean scores. The average hip extension ROM measured was 5.43± 9.73 degrees…”
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Comparison of Concurrent and Same-Day Balance Measurement Approaches in a Large Sample of Uninjured Collegiate Athletes by Jessica Saalfield, Kelsey L. Piersol, Robert Monaco, Jason Womack, Scott A Weismiller, Carrie Esopenko, Sabrina M Todaro, Fiona N Conway, Kyle Brostrand, Jennifer F. Buckman

“…# Background Measures of postural stability are useful in assisting the diagnosing and managing of athlete concussion. Error counting using the Balance Error Scoring System (BESS) is the clinical standard, but has notable limitations. …”
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Green gram yield prediction using linear regression by Tumusiime, Robert, Mabirizi, Vicent, Mirembe, D.P, Arinanye, T.R

“…The predictor variables used were; soil type, soil PH, soil fertility, rainfall distribution, weeding practice, pest and disease management, fertilizer application, plant spacing, and cropping system. …”
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Digital mapping of soil organic carbon in a plain area based on time-series features by Kun Yan, Decai Wang, Yongkang Feng, Siyu Hou, Yamei Zhang, Huimin Yang

“…The RFSTB (RF + Conventional variables + Time-series variables + Boruta algorithm) model was identified as the optimal model, with R2 increasing by 65.45 % and RMSE decreasing by 47.12 %. …”
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Nutritional supplementation with non-conventional food resources and its effect on the productive parameters in rabbits by Karen Gisela Sánchez-Bustos, Natalia Escobar-Escobar, Sandra Marcela Castro-Ruiz

“…La varianza, homogeneidad y error fueron verificados por la prueba de Shapiro-Wilks, Levene y Durbin-Watson, utilizando el programa R. …”
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Combining machine learning algorithms for bridging gaps in GRACE and GRACE Follow-On missions using ERA5-Land reanalysis by Jaydeo K. Dharpure, Ian M. Howat, Saurabh Kaushik, Bryan G. Mark

“…The models were trained using six hydroclimatic variables (temperature, precipitation, runoff, evapotranspiration, ERA5-Land derived TWSA, and cumulative water storage change), as well as a vegetation index and timing variables, to reconstruct global land TWSA at 0.5° grid resolution. …”
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SOFTWARE SERVICES EXPORT AND ITS IMPLICATIONS ON ECONOMIC GROWTH IN INDIA: AN EMPIRICAL STUDY by Mousumi Bhattacharya, Sharad Nath Bhattacharya

“…To investigate the long and short run dynamics among the variables impulse response analysis is also done. …”
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SOFTWARE SERVICES EXPORT AND ITS IMPLICATIONS ON ECONOMIC GROWTH IN INDIA: AN EMPIRICAL STUDY by Mousumi Bhattacharya, Sharad Nath Bhattacharya

“…To investigate the long and short run dynamics among the variables impulse response analysis is also done. …”
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On stability estimations without any conditions of symmetry by Romanas Januškevičius, Olga Januškevičienė

“…., Xn be i.i.d. random variables. B. Ramachandran and C.R. Rao have proved that if distributions of sample mean ‾X = ‾X(n) = (X1 + ⋯ + Xn)/n and monomial X are coincident at least at two points n = j1 and n = j2 such that log j1/ log j2 is irrational, then X follows a Cauchy law. …”
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Diabetes distress among immigrants of south Asian descent living in New York City: baseline results from the DREAM randomized control trial by Farhan Mohsin, Laura Wyatt, Hayley Belli, Shahmir Ali, Deborah Onakomaiya, Supriya Misra, Yousra Yusuf, Shinu Mammen, Jennifer Zanowiak, Sarah Hussain, Haroon Zafar, Sahnah Lim, Nadia Islam, Naheed Ahmed

“…The Diabetes Distress Scale (DDS) measured DD, and Core Healthy Days Measures assessed physical and mental healthy days. Sociodemographic variables were analyzed using descriptive statistics, Chi-square tests assessed categorical variables, and Wilcoxon Rank Sum tests evaluated continuous variables (Type I error rate = 0.05). …”
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UK Biobank MRI data can power the development of generalizable brain clocks: A study of standard ML/DL methodologies and performance analysis on external databases by Marco Capó, Silvia Vitali, Georgios Athanasiou, Nicole Cusimano, Daniel García, Garth Cruickshank, Bipin Patel

“…To this end we designed a statistical framework to assess age prediction performance, the robustness of the prediction across cohort variability (database, machine type and ethnicity) and its potential as a biomarker for neurodegenerative conditions. …”
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Asimetría y convergencia en política monetaria entre Canadá, Estados Unidos y México by Ruth Ortiz Zarco, Ignacio Perrotini Hernández

“…Con base en un análisis empírico, que incluye el escrutinio de hechos estilizados de las variables monetarias de Canadá, Estados Unidos y México, pruebas de causalidad de Granger y modelos de corrección de errores (VEC), se concluye que, en paralelo al proceso de integración comercial de estos países, el lado monetario del TLCAN exhibe divergencias y convergencias que implican una integración asimétrica de la economía mexicana con Estados Unidos y, en menor medida, con Canadá.…”
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