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По вашему запросу найдено документов: 76336

Страница 18 из 7634

The Study of Dynamic Parameters of Corporate Graphic Stations Using Methods of Adaptive Regression Multi-Parameter Modeling

Andreev A., Nefedyev Y., Demina N.

analysis may be performed using robust methods. For this purpose, one constructs mathematical models of TD

Development of a multiplex real-time PCR method for the detection of Pseudomonas savastanoi pv. glycinea and Curtobacterium flaccumfaciens pv. flaccumfaciens in soybean seeds; [Desenvolvimento de método de PCR multiplex em tempo real para a detecção de Pseudomonas savastanoi pv. glycinea e Curtobacterium flaccumfaciens pv. flaccumfaciens, em sementes de soja]

Tarakanov R., Ignatov A., Evseev P., Chebanenko S., Ignatyeva I., Miroshnikov K., Dzhalilov F.

. The method specificity has been confirmed using 25 strains of target bacteria and 18 strains of other

Alternating direction implicit finite element method for multi-dimensional black-scholes models

Li L., Lapin A., Zhang S.

© 2019 Global Science Press. A new numerical method is proposed and investigated for solving

Increasing the Quality of Transient Processes in the Vehicle Transmission

Taratorkin, A., Derzhankii, V., Taratorkin, I.

by applying a method of control power redistribution. By employing simulation models a number of methods were

Progress in the Development of Reaction-Based Sensors for Detection of Acrolein in Biological Samples

Pradipta A., Saigitbatalova E., Takamatsu M., Kurbangalieva A., Tanaka K.

samples, and describe our recent findings on the simple but robust method for detecting and visualizing

Analysis of heterogeneous genomic samples using image normalization and machine learning

method allows for a robust conversion of genomic data into numerical data and overcomes several issues

Comparison of hybrid approaches in classification using decision trees and neural networks

Approaches combining methods based on decision trees and neural networks are an important examples

Low-rank adaptive graph embedding for unsupervised feature extraction

Lu J., Wang H., Zhou J., Chen Y., Lai Z., Hu Q.

© 2020 Most of manifold learning based feature extraction methods are two-step methods, which first

Improving the supply chain efficiency based on reliability analysis

Artsiomchyk, Y., Zhivitskaya, H.

for improving supply chains efficiency by designing SC that is robust (i.e., perform well with respect

Selective Extracellular Stimulation of Pharmacologically Distinct CCK/CB1R Positive Interneuron to Pyramidal Cell Perisomatic Inhibitory Synapses

Valiullina F., Jappy D., Rozov A.

robust DSI in response to 5-s depolarization and could also be almost entirely blocked by application

Страница 18 из 7634