Suggested Topics within your search.
Suggested Topics within your search.
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17321
Deep learning assisted analysis of biomarker changes in refractory neovascular AMD after switch to faricimab
Published 2025-04-01“…By enabling objective and reproducible analysis of OCT biomarkers, deep learning algorithms provide critical insights into treatment response. …”
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17322
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Machine learning modeling for the risk of acute kidney injury in inpatients receiving amikacin and etimicin
Published 2025-05-01“…The machine learning models were developed using five different algorithms, including logistic regression (LR), random forest (RF), gradient boosting machine (GBM), extreme gradient boosting model (XGBoost), and light gradient boosting machine (Light GBM).ResultsThe XGBoost model exhibited the most superior performance in predicting amikacin-associated AKI among the developed machine learning models. …”
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17325
Comparison of pulse pressure and stroke volume variations measured by three monitors in high-risk surgical patients
Published 2024-11-01“…We aimed to compare the baseline values, fluctuation and predictive value for FR of PPV and SVV measured by three minimally invasive monitors. …”
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17326
A Band-Stop Filter-Based LQR Control Method for Semi-Active Seat Suspension to Mitigate Motion Sickness
Published 2025-06-01“…Secondly, the multi-objective butterfly optimization algorithm (MOBOA) is adopted to optimize the LQR controller’s weighting matrices (Q, R) by balancing conflicting requirements in terms of human body displacement limits, acceleration thresholds, and suspension travel. …”
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17327
Enhanced UAV Detection and Classification With Birds Using NLFM Pulse-Doppler Radar
Published 2025-01-01“…Furthermore, a simple clutter classification algorithm is proposed to classify signals containing micro-Doppler components, such as UAVs or birds, from clutter. …”
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17328
Investigation and optimization of battery thermal management system based on composite phase change material and variable wall liquid cooling plate
Published 2024-11-01“…The results demonstrate a reduction of 1.81 °C in the maximum temperature of the battery pack upon implementation of the variable wall LCP. …”
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17329
Application Status and Prospect of VSC-HVDC Technology for Large-Scale Offshore Wind Farms
Published 2020-07-01“…Due to the strong wind resource stability and high annual utilization hours of offshore wind power, with the increasing capacities of offshore wind turbines, the expansion of investment scale and the reduction of construction costs, VSC-HVDC based large-scale offshore wind power transmission technology has become a popular topic for offshore wind power development and research. …”
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17330
Optimization of Energy Systems in a Distribution Micro grid: An Application of the Particle Swarm Optimization
Published 2023-06-01“…The advantages of the proposed algorithm have been demonstrated through numerical studies and comparisons, which showed a reduction in operational expenses, carbon dioxide emissions, and fuel consumption during both summer and winter seasons. …”
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17331
Joint Fault Diagnosis of IGBT and Current Sensor in LLC Resonant Converter Module Based on Reduced Order Interval Sliding Mode Observer
Published 2024-12-01“…Building upon the estimation results generated by this observer, a diagnostic algorithm featuring adaptive thresholds has been introduced. …”
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17332
Optimizing Rotary Cement Kiln modelling: A comparative analysis of metaheuristics in a real-world application
Published 2025-03-01“…Furthermore, an adjustment to the Marine Predators Algorithm (MPA) is proposed, targeted at enhancing its exploitation phase in alignment with the established stopping criteria. …”
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17333
Macrostructural Analysis of the Dynamics of the Two-Sector Economy
Published 2024-08-01“…Thus, the proposed algorithm of macrostructural analysis allowed us to reveal the specifics of the structural dynamics of the Russian economy, revealing the determinants of non-monetary inflation. …”
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17334
ECONOMIC-MATHEMATICAL MODEL OF FORMATION OF INNOVATION AND ENGINEERING INDUSTRIAL CLUSTER
Published 2023-04-01“…The purpose of the article is to develop an economic-mathematical model of the formation of an industrial cluster, and to create an algorithm for cluster zoning of the economy. Tasks to be solved – analysis of the principles of innovative growth, development of a model of an innovation-engineering industrial cluster, formulation of a methodology for the formation of a regional innovation-engineering cluster, analysis and assessment of the features that arise in clusters, use of cluster analysis for systematization, classification and reduction of the number of features. …”
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17335
A stochastic optimization method for economic microgrid operation based on "source-load operation" mode classification
Published 2025-06-01“…A multivariate time series clustering algorithm is applied to quantify correlations between variable dimensions, enabling the classification of microgrid operation modes. …”
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17336
Towards Robust Speech Models: Mitigating Backdoor Attacks via Audio Signal Enhancement and Fine-Pruning Techniques
Published 2025-03-01“…The results show a significant reduction in attack success rate to below 1.5%, while maintaining 99.4% accuracy on clean inputs. …”
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Optimizing Secure and Efficient Data Aggregation in IoMT Using NSGA-II
Published 2025-01-01“…Utilizing the Non-dominated Sorting Genetic Algorithm II (NSGA-II), a diverse Pareto front of solutions is generated, allowing adaptability to different healthcare scenarios. …”
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17338
Age and Saving Lives in Crisis Standards of Care: A Multicenter Cohort Study of Triage Score Prognostic Accuracy
Published 2025-05-01“…SOFA score substantially overpredicted mortality (13% predicted vs. 5% observed) for younger patients (< 40 yr) and underestimated mortality (14% predicted vs. 31% observed) for older patients (> 80 yr). …”
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Enhanced dry SO₂ capture estimation using Python-driven computational frameworks with hyperparameter tuning and data augmentation
Published 2025-04-01“…SHapley Additive exPlanations was essential for comprehending the prediction mechanism through feature significance and the impact of varying feature thresholds on the predicted output. …”
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17340
Capacity Estimation of Lithium-Ion Battery Systems in Fuel Cell Ships Based on Deep Learning Model
Published 2025-06-01“…A TCN-BiGRU model is then developed, with hyperparameters determined by the Kepler optimization algorithm (KOA). Cells from a battery pack under consistent conditions are used for training, while other cells in the same pack serve as the test set. …”
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