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821
Artificial intelligence-based personalized diet: A pilot clinical study for irritable bowel syndrome
Published 2022-12-01“…The IBS-SSS evaluation for pre- and post-intervention exhibited significant improvement (p < .02 and p < .001 for the standard IBS diet and personalized nutrition groups, respectively). …”
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822
Research status of gearboxes for high-power nuclear power circulation pumps
Published 2025-04-01“…Many scholars are committed to in-depth research on high-power nuclear power circulating pump gearboxes from the perspectives of dynamics, mechanical design, big data, optimization algorithms, etc., in response to the above-mentioned issues. …”
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823
Experimental Study on the Unsteady Characteristics and the Impact Performance of a High-Pressure Submerged Cavitation Jet
Published 2020-01-01“…The impact load of the cavitation jet is mainly affected by the stand-off distance of the nozzle from the impinged target, while the nozzle outlet geometry also has an effect on the impact performance. Optimizing the stand-off distance and the outlet geometry of the nozzles is found to be a good way to improve the performance of the cavitation jet.…”
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824
Association of MTHFR Polymorphisms with H-Type Hypertension: A Systemic Review and Network Meta-Analysis of Diagnostic Test Accuracy
Published 2022-01-01“…A network meta-analysis of diagnostic test and Thakkinstian’s algorithm were used to select the most appropriate genetic model, along with false-positive report probability (FPRP) for noteworthy associations. …”
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825
Development and evaluation of customized software to automatically align macula and optic disc centered scanning laser ophthalmoscope fundus images
Published 2025-04-01“…BloodVesselReg implements an image registration and mosaicing algorithm based on retinal blood vessels. OCTFundusReg optimizes a general-purpose image registration toolkit to operate on SLO images. …”
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826
Mapping Polyclonal HIV-1 Antibody Responses via Next-Generation Neutralization Fingerprinting.
Published 2017-01-01“…Here, we present next-generation NFP algorithms that substantially improve prediction accuracy for individual donors and enable serologic analysis for entire cohorts. …”
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827
Research on rock burst prediction based on an integrated model
Published 2025-05-01“…Additionally, the sparrow search algorithm (SSA) is employed to optimize hyperparameters, further improving the model’s performance. …”
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828
Development of a machine learning model for predicting renal damage in children with closed spinal dysraphism
Published 2025-08-01“…The Shapley additive explanations (SHAP) algorithm and Local Interpretable Model-Agnostic Explanations (LIME) were used to interpret the optimal model. …”
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829
Parameterization of user functions in digital signal processing for obtaining angular superresolution
Published 2022-07-01“…Objectives. One of the most important tasks in the development of goniometric systems is improving resolution in terms of angular coordinates. …”
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830
Histopathological Image Analysis Using Machine Learning to Evaluate Cisplatin and Exosome Effects on Ovarian Tissue in Cancer Patients
Published 2025-02-01“…Exosome treatments, particularly when administered post-cisplatin, significantly improve ovarian tissue recovery. …”
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831
Efficient and Motion Correction-Free Myocardial Perfusion Segmentation in Small MRI Data Using Deep Transfer Learning From Cine Images: A Promising Framework for Clinical Implement...
Published 2023-01-01“…This methodology includes normalization and cropping of cine images using a Region-of-Interest detector based on a Markovian, graph-based visual saliency algorithm improved by a sequence of morphological operations. …”
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832
Zonal Estimation of the Earliest Winter Wheat Identification Time in Shandong Province Considering Phenological and Environmental Factors
Published 2025-06-01“…Other zones reached optimal timing between late December and late January, all with OA above 95%. …”
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833
Subjective Air Traffic Complexity Analysis Based on Weak Supervised Learning
Published 2025-07-01“…Compared with the K-means algorithm based on Euclidean distance, metric learning improves the optimal silhouette coefficient and Davidson-Boldin index by 31.80% and 12.97%, respectively. …”
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834
Underwater Target 3D Reconstruction via Integrated Laser Triangulation and Multispectral Photometric Stereo
Published 2025-04-01“…At the same time, we propose to optimize the laser place calibration and laser line separation processes, further improving the reconstruction performance of underwater laser triangulation and multispectral photometric stereo. …”
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835
Task-Driven Real-World Super-Resolution of Document Scans
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836
Enhanced identification of Morganella spp. using MALDI-TOF mass spectrometry
Published 2025-08-01“…Methods: We applied Machine Learning (ML) algorithms to a collection of 235 clinicial Morganella spp. strains to develop an optimized identification model. …”
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837
The Analysis of the Possibility to Conduct Orbital Manoeuvres of Nanosatellites in the Context of the Maximisation of a Specific Operational Task
Published 2025-05-01“…It is suggested that future research should develop towards more advanced optimisation techniques, such as artificial intelligence algorithms that may additionally improve the precision and efficiency of planning orbital trajectories.…”
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838
Construction of a sugar and acid content estimation model for Miliang-1 kiwifruit during storage
Published 2025-01-01“…These algorithms are powerful tools for feature selection, and capable of identifying the most informative wavelengths from the hyperspectral data. …”
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839
Revolutionizing Clear-Sky Humidity Profile Retrieval with Multi-Angle-Aware Networks for Ground-Based Microwave Radiometers
Published 2025-01-01“…Based on the 7-year (2018–2024) in situ measurements from Beijing, Nanjing, and Shanghai, validation results reveal that AngleNet achieves substantial improvements, with an average R2 of 0.71 and a root mean square error (RMSE) of 10.39%, surpassing conventional models such as LGBM (light gradient boosting machine) and RF (random forest) by over 10% in both metrics, and demonstrating a remarkable 41% increase in R2 and a 10% reduction in RMSE compared to the previous BRNN method (batch normalization and robust neural network). …”
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840
Distributed Beamforming for Relay Assisted Multiuser Machine-to-Machine Networks
Published 2012-08-01“…Numerical simulations for the proposed algorithms are presented showing the performance of the proposed schemes is close to that of the optimal scheme with global CSI in terms of bit error rate (BER) criterion.…”
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