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Evaluation of dynamic characteristics of a linear time-varying system
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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 article's results revealed the potential relationship between different physical characteristics and emphasized the application prospects of association rule mining in the physical evaluation of basketball players.…”
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XAI-BO: an architecture using Grad-CAM technique to evaluate Bayesian optimization algorithms on deep learning models
Published 2025-07-01“…However, the specific application of this algorithm in various deep-learning models has not been thoroughly evaluated. …”
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Quality Evaluation Method for Base Baijiu Based on Support Vector Machine Optimized by Genetic and Bootstrap Aggregating Algorithm
Published 2025-03-01“…A classification model for base baijiu of different sensory grades was established based on the gas chromatography-mass spectrometric (GC-MS) data for their volatile composition. …”
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429
A molecular dynamics-based algorithm for evaluating the glycosaminoglycan mimicking potential of synthetic, homogenous, sulfated small molecules.
Published 2017-01-01“…To address this, we developed a three-step molecular dynamics (MD)-based algorithm to compare sulfated NSGMs with GAGs. In the first step of this algorithm, parameters related to the range of conformations sampled by the two highly sulfated molecules as free entities in water were compared. …”
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Personalized learning effect evaluation model for vocational education with cloud computing technology
Published 2025-12-01“…To achieve more efficient and accurate evaluation of learning effect, an adjustable variation genetic algorithm-backpropagation neural network (AGA-BP) is proposed. …”
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Mortality Risk Prediction in Patients With Antimelanoma Differentiation–Associated, Gene 5 Antibody–Positive, Dermatomyositis–Associated Interstitial Lung Disease: Algorithm Develo...
Published 2025-02-01“…The primary endpoint was 3-month mortality due to all causes. Six ML algorithms (Extreme Gradient Boosting [XGBoost], logistic regression (LR), Light Gradient Boosting Machine [LightGBM], random forest [RF], support vector machine [SVM], and k-nearest neighbor [KNN]) were applied to construct and evaluate the model. …”
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Bayesian network structure learning by opposition-based learning
Published 2025-05-01“…In this paper, we propose a new Bayesian network structure learning algorithm, OP-PSO-DE, which combines Particle Swarm Optimization(PSO) and Differential Evolution to search for the optimal structure. …”
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An approach to forecast production profiles, oil-gas ratio and water contamination probabilistic assessment
Published 2024-10-01“…The variants of variables implementation were studied, the review of experimental designs and optimization algorithms was done. At the first step, the simulation model was history matched using Differential Evolution algorithm, since its initial version had problems with phase withdrawals and pressure dynamics. …”
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435
Maximising investors’ wealth in the cryptocurrency market: a behavioural perspective
Published 2025-12-01“…Using the copula-based Differential Evolution (DE) algorithm for the optimisation, the results show that portfolios consisting of assets with extremely high CPT scores were preferred during the post-COVID-19 and full sample periods, except for portfolios comprising assets with extremely low CPT scores during the COVID-19 period. …”
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A new modified incomprehensible but intelligible-in-time logics algorithm for modeling solid oxide fuel cell
Published 2025-07-01“…It is applied to solve twelve different functions of IEEE CEC’2022 test suite and compared with nine well-known algorithms. …”
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Analysis of Block Adaptive Type-II Progressive Hybrid Censoring with Weibull Distribution
Published 2024-12-01“…Consequently, reliability performance and differences across different testing facilities are analyzed. …”
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Complex Approach to Evaluating Quality of Medical Care in Pediatrics
Published 2015-12-01“…The authors analyzed different systems of evaluating quality of medical care of children and demonstrated their benefits and drawbacks. …”
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