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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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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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1.7 MV Tandem Accelerator Beam Tuning Optimization
Published 2025-03-01“…To augment the inherent efficiency and enhance the quality of the conventional manual beam-tuning methodology, this paper presented an innovative approach through the incorporation of a differential evolution (DE) algorithm. Initially, the architectural framework of the DE algorithm was meticulously delineated, serving as the bedrock of the methodological paradigm. …”
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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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227
Optimizing Fractional-Order Convolutional Neural Networks for Groove Classification in Music Using Differential Evolution
Published 2024-10-01“…The proposed DE-FOCNN was evaluated on the Janata dataset, which includes pre-rated music tracks. …”
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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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Comparative Evaluation of Mean Cumulative Regret in Multi-Armed Bandit Algorithms: ETC, UCB, Asymptotically Optimal UCB, and TS
Published 2025-01-01“…Each algorithm is applied to each dataset with two different horizons, which represent the number of iterations, to evaluate its short-term and long-term decision-making ability. …”
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How to use learning curves to evaluate the sample size for malaria prediction models developed using machine learning algorithms
Published 2025-07-01“…Learning curves can be used to assess the sample size required for the training dataset by evaluating the predictive performance of a model trained using different dataset sizes. …”
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Software with artificial intelligence-derived algorithms for detecting and analysing lung nodules in CT scans: systematic review and economic evaluation
Published 2025-05-01“…Three studies that evaluated different AI software suggested that the accuracy of AI-assisted reading for detecting different types of nodules compared with unaided readers may vary depending on the performance of individual technology, but the evidence was insufficient for a firm conclusion to be drawn. …”
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Evaluation of Different Machine Learning Models for Predicting Soil Erosion in Tropical Sloping Lands of Northeast Vietnam
Published 2021-01-01“…Classification accuracy rate (CAR) and area under receiver operating characteristic (AUC) were used to evaluate performance of the five models. Significant difference between different algorithms was verified by the Wilcoxon test. …”
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EVALUATION OF POSSIBILITIES TO IMPROVE ACCURACY CHARACTERISTICS FOR ALGORITHMS OF REFINEMENT ANGULAR VELOCITY OF BALLISTIC AND SPACE OBJECTS IN EARLY WARNING RADARS
Published 2018-03-01“…Therefore, the article deals with the methodology of comparative evaluation accuracy characteristics of algorithms of refinement angular velocity ballistic and space objects and assessing the level of their improvement through the use of different variants of construction algorithm of increasing the accuracy of range higher order derivatives, including information on the third derivative of distance. …”
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