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Evaluation of dynamic characteristics of a linear time-varying system
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A contract-based cooperative spectrum sharing model in cognitive radio network
Published 2016-05-01“…A contract-based cooperative spectrum sharing model in cognitive radio network was proposed.In this model,secondary user offers relay service for primary user when primary user's channel is poor.In return,when primary user's channel is good,secondary user can use spectrum with the underlay mode under the condition that the interference is limited.Contract theory in economics was introduced to this framework,the problem of collaboration between the primary and secondary users was modeled as a contract design problem,and the effectiveness function of evaluate primary and secondary users on contract revenue was set up.And the differential evolution algorithm was used to solve the problem.Finally,in different circumstances,primary user collaboration and un-collaboration were contrasted.The results showed that the main users under the condition of no additional input spectrum,not only save the sending power,but also effectively improve the data transfer rate,and improve the energy efficiency and spectrum efficiency.…”
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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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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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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 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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ADMET evaluation in drug discovery: 21. Application and industrial validation of machine learning algorithms for Caco-2 permeability prediction
Published 2025-01-01“…In this study, we conducted an in-depth analysis of the characteristics of an augmented Caco-2 permeability dataset, and evaluated a diverse range of machine learning algorithms in combination with different molecular representations. …”
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Experience with artificial intelligence algorithms for the diagnosis of vertebral compression fractures based on computed tomography: from testing to practical evaluation
Published 2024-12-01“…Artificial intelligence algorithm No. 1 passed the practical evaluation stage without any significant remarks, whereas algorithm No. 2 was sent for fine-tuning. …”
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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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