Titlebook: Data Stream Mining & Processing; Third International Sergii Babichev,Dmytro Peleshko,Olena Vynokurova Conference proceedings 2020 Springer

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书目名称Data Stream Mining & Processing影响因子(影响力)学科排名




书目名称Data Stream Mining & Processing网络公开度




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书目名称Data Stream Mining & Processing被引频次




书目名称Data Stream Mining & Processing被引频次学科排名




书目名称Data Stream Mining & Processing年度引用




书目名称Data Stream Mining & Processing年度引用学科排名




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书目名称Data Stream Mining & Processing读者反馈学科排名

才能

Hybrid Deep Convolutional Neural Network with Multimodal Fusionand allows increasing informativeness of modality feature. The specific characteristics of proposed fusion operation is that the data of the same dimension without regard to the modality type are fed to the input of fusion subsystem. During the experiments, the high recognition efficiency was obtain

管理员

Modeling and Forecasting of Innovative, Scientific and Technical Activity Indicators Under Unstable , density, and direction of Ukraine’s GDP dependence on specific indicators of innovative and scientific and technical activity are evaluated). The research proves public demand, evaluates current trends, and makes forecasts of the indicators of innovative and scientific and technical activity and t

Armada

Technique of Metals Strength Properties Diagnostics Based on the Complex Use of Fuzzy Inference Systg is an optimal in terms of maximum value of heneral Harrington desiribility index and the hybrid neural network with two layers of neurons and triangular membership functions with combine algorithm of network training is an optimal one in terms of relative error of metals strength properties evalua

委派

同义联想法

Methodological Support for the Management of Maintaining Financial Flows of External Tourism in Globand transformation of services. The implementation of the algorithm ensures the effect of minimizing losses and the maximum financial flow from the sale of specific tourism services from the source, representing the components of manufacturers of tourism products before the outbreak of the pandemic,

同义联想法

Expansion of the Capabilities of Chromatography-Mass Spectrometry Due to the Numerical Decompositiontion of a linear combination of orthogonal functions by the optimal linear associative memory (OLAM) method gives a satisfactory result even if the noise level is three times higher than the useful signal level. The area of satisfactory application of OLAM for the decomposition of non-orthogonal fun

损坏

改良

MOTIF