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Cervical Cancer Prediction Based on Imbalanced Data Using Machine Learning Algorithms with a Variety of Sampling Methods
Published 2024-11-01“…To identify the best imbalanced technique for this medical dataset, the performances of eleven important resampling methods are compared, combined with the following state-of-the-art ML models that are frequently applied in predictive healtchare research: K-Nearest Neighbors (KNN) (with <i>k</i> values of 2 and 3), binary Logistic Regression (bLR), and Random Forest (RF). …”
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563
LPKF-LDS technology for the production of three-dimensional schemes on plastics
Published 2021-03-01“…Methods of testing materials for use in the production technology of three-dimensional circuits on plastics and ensuring the quality of manufacturing of radio engineering products, allowing to confirm the compliance of key parameters of materials are studied. …”
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564
Optimal selection of diagnostic method for diabetes mellitus using complex bipolar fuzzy dynamic data
Published 2025-01-01Get full text
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Exploring current trends in agricultural commodities forecasting methods through text mining: Developments in statistical and artificial intelligence methods
Published 2024-12-01“…The theoretical contribution of this study lies in identifying literary gaps concerning forecasting methods applied to agribusiness, while its practical implication is to identify forecasting methodologies to support decision-making.…”
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Simple Selection Index (SSI) Method in Electric Vehicle Selection for Logistics Companies
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A novel approach for determining criteria weights: application in ranking materials for mechanical manufacturing processes
Published 2025-01-01“…Material selection is a complex challenge within Multi-Criteria Decision-Making (MCDM). This research introduces SIWEC-ROC, a novel two-stage weighting method combining SIWEC and ROC to ensure stable material rankings across various MCDM techniques. …”
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568
Improved landslide susceptibility assessment: A new negative sample collection strategy and a comparative analysis of zoning methods
Published 2024-12-01“…In order to assess the impact of various negative sample collection strategies on the prediction accuracy of the landslide susceptibility assessment (LSA) model, and to investigate the effectiveness of landslide susceptibility zoning methods. Taking Fengjie County, Chongqing City, China as the study area, this study proposes three negative sample collection strategies based on slope unit, buffer zone, and information value, and combines them with C5.0 decision tree (DT) model respectively to construct an LSA model. …”
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Determination of Spatial Pattern of Urban Green Spread (Case Study: District 5 of Tehran Municipality)
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Selection of a dam site by using AHP and VIKOR: The Sakarya Basin
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