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1061
Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models
Published 2025-01-01“…Depending on the application, computational complexity is lowered by 20% to 60% compared to traditional PSO methods. Llama3 achieved a 20% to 40% reduction in model calls for regression tasks, whereas ChatGPT-3.5 reduced model calls by 60% for both regression and classification tasks, all while preserving accuracy and error rates. …”
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1062
Best management practices for reducing nutrient loads under diverge hydrological conditions: A case study in an agricultural watershed in Southwest China
Published 2025-07-01“…Additionally, we used the load duration curves method to evaluate the nutrient reduction effectiveness of these BMP scenarios compared to the baseline scenario under different hydrological conditions. …”
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1063
Multivariate Analyses with Two-Step Dimension Reduction for an Association Study Between <sup>11</sup>C-Pittsburgh Compound B and Magnetic Resonance Imaging in Alzheimer’s Disease...
Published 2025-01-01“…To study the relationship between Aβ deposition and brain structure, as determined using <sup>11</sup>C-Pittsburgh compound B (PiB) and magnetic resonance imaging (MRI), respectively, we developed a regression model with PiB and MRI data as the predictor and response variables, respectively, and proposed a regression method for studying the association between them based on a supervised sparse multivariate analysis with dimension reduction based on a composite paired basis function. …”
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1064
Groundwater Pollution Concentration Estimation with Modified Kalman Filter Method
Published 2024-11-01“…The model order reduction method used in this research is the LMI (Linear Matrix Inequality) method because the model reduction error using the LMI method is the smallest error compared to the reduction error using the Balanced Truncation method or the Singular Pertrubation Approximation method. …”
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1065
Strategizing emissions reduction investment for a livestock production farm amid power demand pattern: A path to sustainable growth under the carbon cap environmental regulation
Published 2024-12-01“…To deal with these insights, a thorough analytical framework integrating mathematical modeling methodology, economic evaluation, and carbon accounting approaches is employed. …”
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1066
Potential predictors of efficacy outcomes following tofacitinib dose reduction in patients with ulcerative colitis in stable remission: a post hoc analysis of outcomes from the RIV...
Published 2025-02-01“…Design: This post hoc analysis included patients with UC in stable remission (⩾6 months) on tofacitinib 10 mg twice daily (BID) maintenance therapy (⩾2 years of treatment), who received tofacitinib 5/10 mg BID in RIVETING. Methods: Achievement of modified Mayo (mMayo) remission, remission (based on total Mayo score), partial Mayo score (PMS) remission, and modified PMS (mPMS) remission at month (M)6 was analyzed by baseline characteristics, duration of PMS remission at RIVETING entry, biomarkers, and patient-reported outcomes (PROs) to identify factors associated with achieving/maintaining efficacy outcomes, including following dose reduction. …”
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1067
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1068
Roles of Soil and Atmospheric Dryness on Terrestrial Vegetation Productivity in China ‐ Which Dominates at What Thresholds
Published 2025-03-01“…The structural equation modeling further demonstrates the dominant influence of SM and VPD on GPP reduction. …”
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1069
An Optimization Method for Operation Adjustment of High-Speed Delayed Trains
Published 2019-01-01“…A train operation process model based on the Max-Plus algebra method is proposed. …”
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1070
Patient perceptions and predictors of intention to use telehealth for follow-up care: a mixed methods study among adults living with HIV in Kampala, Uganda
Published 2025-04-01“…Future research should explore the effectiveness of economic empowerment programs in promoting telehealth use and investigate the impact of telehealth on HIV care models, stigma reduction, and linkage and retention in HIV care.…”
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1071
Crystal structure map for materials classification and modeling
Published 2024-12-01Get full text
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1072
Uncertainty-Aware Semi-Supervised Method for Pectoral Muscle Segmentation
Published 2025-01-01“…The consistency regularization method is a widely used semi-supervised method that uses regularization terms constructed from unlabeled data to improve model performance. …”
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1073
A Hybrid GARCH and Deep Learning Method for Volatility Prediction
Published 2024-01-01“…Compared to other hybrid models, our new proposed hybrid model demonstrates an average reduction in MAE and RMSE of 60.35% and 60.61%, respectively. …”
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1074
Application of the Clark–Wright Method to Improve the Sustainability of the Logistic Chain
Published 2024-10-01“…The conclusion indicates that by applying the Clark–Wright method, we have achieved a reduction in the number of routes of twenty fewer routes. …”
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1075
New anisotropic diffusion method to improve radiographic image quality
Published 2017-07-01“…This paper presents a new non linear diffusion method based on adaptive diffusion flow ADF, this model remove noise while preserving weak image boundaries. …”
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1076
The applying of immunohistochemical method for evaluating the cytoprotective effect of antidiabetic drugs
Published 2018-11-01“…On the model of streptozotocin-induced type 2 diabetes in Wistar rats, a significant reduction in the p-cells number and a violation of their morphological structure was shown. …”
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1077
COMBINED METHOD OF RANKING OPTIONS IN PROJECT DECISION SUPPORT SYSTEMS
Published 2020-12-01“…Conclusions. The developed method expands the methodological foundations of automation of processes for supporting multi-criteria design decisions, allows for the correct reduction of the set of effective alternatives for the final choice, taking into account factors that are difficult to formalize, knowledge and experience of decision makers. …”
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1078
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1079
Tropical Cyclone Size Prediction and Development of An Error Correction Method
Published 2025-01-01Get full text
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1080
CBID: A Scalable Method for Distributed Data Aggregation in WSNs
Published 2010-07-01Get full text
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