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Full-Text Articles in Engineering
Recognition Via Morphological Features Of Tulip By The Algorithms For Calculating Estimates, Mirzayan Kamilov, Mirzaakbar Hudayberdiev
Recognition Via Morphological Features Of Tulip By The Algorithms For Calculating Estimates, Mirzayan Kamilov, Mirzaakbar Hudayberdiev
Chemical Technology, Control and Management
The paper discusses two problem, the firth, possibilities of improving the quality of the recognition algorithm based on partial precedent, by the original pre-training procedures. And second finding the optimal procedure for constructing improved results in some sense, the algorithms for calculating estimates. The peculiarity of this algorithm is that as precedents only such "anchor points" of a pattern that ensuring the following conditions are left: the distance from any point on the training set of i-th pattern to their nearest precedent is less than the distance to the nearest precedent of another pattern. This set of precedents provides unmistakable …
A Study Of Security Problems In Big Data And Their Solutions, Nozima Akhmedova
A Study Of Security Problems In Big Data And Their Solutions, Nozima Akhmedova
Chemical Technology, Control and Management
Statistical data on information security that concerns Big Data and is the most important for enterprises are provided. Based on this data, we studied problems such as the lack of big data practices and protection, the lack of techniques for protecting big data, the lack of standards for protecting big data, the lack of regulation of big data and ecosystems, security problems in Big Data, and proposed several proposals to improve the security of systems that use this technology.
Importance Of Morphological Features In Orthoptera Identification, Kamilov Mirzoyan, Alisher Khamroev, Hudayberdiev Mirzaakbar
Importance Of Morphological Features In Orthoptera Identification, Kamilov Mirzoyan, Alisher Khamroev, Hudayberdiev Mirzaakbar
Chemical Technology, Control and Management
This article analyzes the problems of implementing image recognition methods and algorithms for identifying biological objects. The Orthoptera group was chosen as a biological object. Orthoptera is a taxonomic order of insects that includes grasshoppers, crickets, locusts, and others. Approaches to the formation and identification of features of Orthoptera species and the formation of training and control samples of their samples are proposed. Estimation algorithms (ACE) were chosen as algorithmic support for identifying Orthoptera collections. ACE is based on the principle of partial priority. Approaches to the formation of a training and testing complex based on the data from the …