Search Results - evaluation algorithms
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Convergence Evaluation of a Random Step-Size NLMS Adaptive Algorithm in System Identification and Channel Equalization
Published 2011Get full text
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A Novel Linear Evaluation of Chromatographic Peak Features in Pharmacopoeias Using an Inverse Fourier Transform Algorithm
Published 2025-06-01“…An inverse Fourier transform algorithm was developed to accurately evaluate chromatographic features versus a standard Gaussian peak shape. …”
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Application of fuzzy modeling in the evaluation of crisis state of enterprises
Published 2019-04-01Get full text
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Automated Dance Scoring Algorithm Using Alignment and Least Square Approximation with Fractional Power of Joint Features
Published 2025-05-01“…Automated motion evaluation has become popular in exercise training and entertainment. …”
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Evaluation Method for Remaining Life of XLPE Insulated Power Cable
Published 2023-06-01Subjects: “…particle swarm optimization algorithm…”
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Propeller Design Optimization and an Evaluation of Variable Rotational Speed Flight Operation Under Structural Vibration Constraints
Published 2025-06-01“…The selected propeller design is evaluated under optimal operational conditions for a specific mission. …”
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Image clustering algorithm and psychological perception in historical building colour rating research: A case study of Guangzhou, China
Published 2025-10-01Subjects: Get full text
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EVALUATION OF COORDINATES OF AIR TARGET IN A TWO-POSITION RANGE MEASUREMENT RADAR
Published 2016-04-01Get full text
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Diagrammatic prevalence index: a new algorithm to evaluate pine wilt disease prevalence at the sub-compartment scale
Published 2025-07-01“…This study introduces a new algorithm for evaluating PWD prevalence in Hangzhou, China, where the disease has been established for over two decades. …”
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Physical fitness characteristics and comprehensive physical fitness evaluation model of basketball players based on association rule algorithm.
Published 2025-01-01“…The study adopted the Apriori association rule algorithm in data mining. First, the physical data of basketball players were collected and preprocessed. …”
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Evaluating machine leaning algorithms for accuracy, stability, and among-predictors discriminability in modeling species-richness across ten datasets
Published 2025-12-01“…While numerous machine learning (ML) algorithms for regression are available for such analyses, synthesizing outcomes across studies is challenging due to: (1) reliance on single datasets, limiting generalizability; (2) varying modeling processes; (3) inconsistent performance criteria; and (4) limited consideration of model stability and among-predictor discriminability.We addressed these issues by applying five ML algorithms—Random Forest (RF), Boosted Regression Tree (BRT), Extreme Gradient Boosting (XGB), Conditional Inference Forest (CIF), and Lasso—to ten large datasets on freshwater fish, mussels, and caddisflies. …”
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