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NEW ORGANIZATION PROCESS OF FEATURE SELECTION BY FILTER WITH CORRELATION-BASED FEATURES SELECTION METHOD
Published 2022-09-01“… The subject of the article is feature selection techniques that are used on data preprocessing step before building machine learning models. …”
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Impact wear behavior of austenitic steel bucket teeth based on machine learning
Published 2025-05-01“…A particle swarm optimization support vector machine was employed to accurately predict wear depth. The mean values of the determination coefficient (R2) before and after feature selection were 0.96294 and 0.98074, respectively, further validating the accuracy of the feature selection process and providing a ranking of importance for identifying key factors to enhance wear resistance.…”
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Selective Separation of Scandium in Acidic Water Using Carboxyl Functionalized Covalent Phosphonitrile Polymers
Published 2023-10-01“…Both materials have the ability to selectively adsorb Sc(III), with Kd values of 5.1×102mL/g and 4.0×103mL/g for Sc(III), respectively. …”
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An Evaluation of the Possibility of Using Buckwheat Hulls as an Addition to Bread
Published 2024-02-01“…The test material consisted of a control bread (without the addition of husk), bread with 10 and 20% husk (mixed with flour at the stage of dough preparation), and bread with a surface sprinkled with buckwheat husk (25 g) before baking. The semi-consumer evaluation involved 33 pre-trained persons who determined the degree of acceptance (desirability) of the selected bread’s sensory characteristics (colour, texture, smell and taste) using the nine-point hedonic scale. …”
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Ensemble learning approach for prediction of early complications after radiotherapy for head and neck cancer using CT and MRI radiomic features
Published 2025-04-01“…Combined $$T_1$$ weighted image-based models RT-BN, RT-LSVM-BN and RT-NN-LSVM-BN also show good performance having AUC values 0.97, 0.92, and 0.90, respectively. These results show that radiomic features from MR images obtained before radiotherapy can be used in addition to other metrics as personalized and unique biomarkers for prediction of early-onset xerostomia. …”
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Investigating the Effects of Spectroscopic Method in Estimating Soluble Solid Content Values and Firmness of Cherries from an Environmental Point of View: Prediction of Environment...
Published 2025-03-01“…Next, by combining the feature selection method (relief) and the spectrometry method (vis-NIR), the effective wavelengths were extracted to estimate the soluble solid content (SSC) values and firmness of the cherry product. …”
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Chemical Composition and Sensory Profile of Sauerkraut from Different Cabbage Hybrids
Published 2023-03-01“…The present research objective was to test several cabbage hybrids for natural fermentation, microbiological parameters, and native sugar content after four months of storage. The study featured twelve new-generation white cabbage hybrids of Russian selection and sauerkraut foods. …”
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Identification of exosome-related genes in NSCLC via integrated bioinformatics and machine learning analysis
Published 2025-07-01“…However, further experimental verification is required to assess its practical value for NSCLC and other lung cancer subtypes before clinical application.…”
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A donor heart scoring model to predict transplant outcomes
Published 2021-01-01“…In binomial logistic regression, non-selection of heart donor was used as a dependent variable, while donor characteristics were used as factor features. …”
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Prediction of KRAS gene mutations in colorectal cancer using a CT-based radiomic model
Published 2025-05-01“…The Delong test was employed to assess the differences between the various models.ResultsAfter feature selection, the top 8 features with the highest mutual information scores were extracted to construct a prediction model. …”
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Evaluation of landslide susceptibility in Nujiang Prefecture based on optimized MaxEnt model
Published 2025-01-01“…The MaxEnt model feature combination (FC) and regularization multi⁃plier (RM) parameters were optimized, and the sample of the akaike information criterion(AICc), Omission Rate (OR) and AUC (Area Under Curve) value before optimization were compared with that after opitimazation,and the occurrence of landslide hazards based on the optimized MaxEnt model was predictedto realize the landslide susceptibility evaluation in Nujiang Prefecture.ResultsThe optimized MaxEnt model has excellent applicability in predicting landslide susceptibility in the study area (AUC=0.913)). …”
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Ensemble Machine Learning for the Prediction and Understanding of the Refractive Index in Chalcogenide Glasses
Published 2025-04-01“…This study employs various machine learning models to reliably predict the refractive index at 20 °C using a small dataset of 541 samples extracted from the SciGlass database. The input for the algorithms consists of a selected set of physico-chemical features computed for the chemical composition of each entry. …”
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Révision de l’espèce Homo erectus (Dubois, 1893)
Published 2000-06-01“…Before taking measures and calculating indices, reference points must be guaranteed to be anatomically homologous.Statistical methods or descriptive analysis (correspondence analysis, factor analysis) are based on comparisons of individuals and parameters in relation to a barycenter obtained by the calculation of each specimen’s own values. …”
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Characterization of the attributes impacting industrial adoption of tree tomato fruit varieties in Kenya
Published 2025-12-01“…Subjective color assessment was used to sort the fruits before randomly selecting samples for physicochemical characterization. …”
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The Effect of Tangible and Intangible Hotel Caracteristics on Brand Loyalty with the Mediating Role of Perceived Well-Being and Brand Attitude (Case study: 4 And 5 Star Hotels In M...
Published 2024-09-01“…The sample members were selected by conducting the convenience sampling sample. …”
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Plasma Acylcarnitines and Amino Acid Levels As an Early Complex Biomarker of Propensity to High-Fat Diet-Induced Obesity in Mice.
Published 2016-01-01“…Taking advantage of a high phenotypic variation in diet-induced obesity in C57BL/6J mice, 12-week-old male and female mice (n = 155) were fed a high-fat diet (lipids ~32 wt%) for a period of 10 weeks, while body weight gain (BWG) and changes in insulin sensitivity (ΔHOMA-IR) were assessed. Plasma samples were collected before (week 4) and after (week 22) high-fat feeding. …”
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Evaluation of the River Salinity Changes using Hydrochemical Method in Arid Area (Case Study: Namaklan River, Ilam)
Published 2018-05-01“…The points were selected in areas where the flow of water was stable and without turbulence which can mix sediment to the water sample and at each point, the water samples collected by 1-liter bottles. …”
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Liver diseases at new coronavirus infection in pregnant women of Samara region
Published 2021-10-01“…A retrospective analysis of medical records of 43 pregnant women aged 19 to 39 years (mean age 29.1 ± 5.4 years) who were hospitalized with laboratory-confirmed COVID-19 infection was performed. The selection was carried out by the method of continuous sampling.Results. 17 women (39.5%) had an acute respiratory viral disease, 26 people (60.5%) were diagnosed with bilateral polysegmental pneumonia with pulmonary tissue damage from 5 to 25%. …”
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Immobilization of Urease onto Nanochitosan Enhanced the Enzyme Efficiency: Biophysical Studies and in Vitro Clinical Application on Nephropathy Diabetic Iraqi Patients
Published 2022-01-01“…Herein, we tried to immobilize urease onto nanochitosan (chitosan NPs) through a cross-linker and study the kinetics (km and vmax values) and thermodynamics (Ea, ∆H, ∆S, and ∆G) parameters of the enzyme reaction before and after immobilization at different substrate concentration (50, 100, 150, 200, and 250 mg/dl) and incubation temperature (15, 20, 25, 30, 35, and 40°C) under selected optimum conditions. …”
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