Showing 1,641 - 1,660 results of 2,171 for search 'Local research algorithm', query time: 0.19s Refine Results
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    Prospects of application of artificial neural networks for forecasting of cargo transportation volume in transport systems by D. T. Yakupov, O. N. Rozhko

    Published 2017-11-01
    “…When predicting the ANN, three methods of learning were used: 1) the Levenberg-Marquardt algorithm-network training stops when the generalization ceases to improve, which is shown by the increase in the mean square error of the output value; 2) Bayes regularization method - network training is stopped in accordance with the minimization of adaptive weights; 3) the method of scaled conjugate gradients, which is used to find the local extremum of a function on the basis of information about its values and gradient. …”
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  6. 1646
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    Development and Validation of DIANA (Diabetes Novel Subgroup Assessment tool): A web-based precision medicine tool to determine type 2 diabetes endotype membership and predict indi... by Viswanathan Baskar, Mani Arun Vignesh, Sumanth C Raman, Arun Jijo, Bhavadharini Balaji, Nico Steckhan, Lena Maria Klara Roth, Moneeza K Siddiqui, Saravanan Jebarani, Ranjit Unnikrishnan, Viswanathan Mohan, Ranjit Mohan Anjana

    Published 2025-08-01
    “…<h4>Background</h4>Previous research has identified four distinct endotypes of type 2 diabetes in Asian Indians, which include Severe Insulin Deficient Diabetes (SIDD), Combined Insulin Resistant and Deficient Diabetes (CIRDD), Insulin Resistance and Obese Diabetes (IROD), and Mild Age-related Diabetes (MARD). …”
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  8. 1648

    Optimizing Multi-Tier Scheduling and Secure Routing in Edge-Assisted Software-Defined Wireless Sensor Network Environment Using Moving Target Defense and AI Techniques by As’ad Mahmoud As’ad Alnaser, Said S. Saloum, Ahmed A. M. Sharadqh, Hazem (Moh’d Said) Hatamleh

    Published 2024-10-01
    “…The state-of-the-art issues is addressed in this research by proposing interference-aware Multi-Tier Scheduling for the SDWSN environment (MTS-SDWSN). …”
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  9. 1649

    Extrahepatic portal vein obstruction in children of the first year of life: diagnostic and treatment approaches by O.S. Godik, D.S. Diehtiarova, O.I. Kvilinska

    Published 2024-03-01
    “…The study protocol was approved by the Local Ethics Committee of the participating institution. …”
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    PROJECTS ON AIRPORTS, AIRFIELDS, HELICOPTER AERODROMES AND LANDING GROUNDS SANITARY PROTECTION AREAS AS THE BASIS OF THEIR ACTIVITY COMPLIANCE ASSESSMENT TO ECOLOGICAL REQUIREMENTS by O. A. Kartyshev, N. I. Nikolaykin

    Published 2017-09-01
    “…It is shown that among the main reasons for current negative situation with projects development and coordination are: absence of a check algorithm of settlement borders of areas and contours of aviation noise with the use of natural researches methods in Sanitary Regulations and Norms 2.2.1/2.1.1.1200-03; absence of methods of amendment in projects and regulations of establishment of the airport sanitary protection zones final dimensions. …”
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    Blood pressure abnormality detection and interpretation utilizing explainable artificial intelligence by Hedayetul Islam, Md. Sadiq Iqbal, Muhammad Minoar Hossain

    Published 2025-02-01
    “…The results of the study show that the algorithm has an AUC of 0.95, indicating good discriminatory power in detecting abnormal blood pressure. …”
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    Machine learning approaches for predicting the link of the global trade network of liquefied natural gas. by Pei Zhao, Hao Song, Guang Ling

    Published 2025-01-01
    “…Utilizing node and edge data from these networks, this research applies machine learning algorithms to predict future links based on local and global similarity-based indices (e.g., CN, JA, PA). …”
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    Automatic structural parcellation of mouse brain MRI using multi-atlas label fusion. by Da Ma, Manuel J Cardoso, Marc Modat, Nick Powell, Jack Wells, Holly Holmes, Frances Wiseman, Victor Tybulewicz, Elizabeth Fisher, Mark F Lythgoe, Sébastien Ourselin

    Published 2014-01-01
    “…The framework adopts the similarity and truth estimation for propagated segmentations (STEPS) algorithm, which utilises a locally normalised cross correlation similarity metric for atlas selection and an extended simultaneous truth and performance level estimation (STAPLE) framework for multi-label fusion. …”
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