ANALYSIS OF THE ALGORITHM FOR DETERMINING CATTLE CASCADE

dc.contributor.author	Xaniyev N.M
dc.date.accessioned	2025-12-29T13:42:34Z
dc.date.issued	2025-06-19
dc.description.abstract	Currently, special attention is paid to automation processes in all industries. One of the pressing problems in the veterinary sector is also the automation of the activities of specialists. This article considers the issue of controlling information flows based on an algorithm for detecting errors in the detection of animal diseases. The study proposes a method for the detection of complex diseases based on analytical indicators. This allows veterinarians to detect the disease early.
dc.format	application/pdf
dc.identifier.uri	https://webofjournals.com/index.php/12/article/view/4657
dc.identifier.uri	https://asianeducationindex.com/handle/123456789/20728
dc.language.iso	eng
dc.publisher	Web of Journals Publishing
dc.relation	https://webofjournals.com/index.php/12/article/view/4657/4612
dc.rights	https://creativecommons.org/licenses/by-nc-nd/4.0
dc.source	Web of Scientists and Scholars: Journal of Multidisciplinary Research; Vol. 3 No. 6 (2025): WOSS; 91-97
dc.source	2938-3811
dc.subject	Animal diseases, early detection of the disease, method of integrated analysis based on analytical values, automation, artificial testing, evaluation by criteria.
dc.title	ANALYSIS OF THE ALGORITHM FOR DETERMINING CATTLE CASCADE
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	Peer-reviewed Article

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