A Symptom Selection Algorithm Based on Classification Errors

Amphawan, Angela; Akbaraliev, B.B.; Djurayev, G.P.

doi:10.1109/icisct50599.2020.9351481

Cited by 4 publications

(3 citation statements)

References 19 publications

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“…At that, a particular attention is paid to the modeling of various subsystems in the automation of the agricultural sector. These problems are well studied in various branches of science and technology: in modeling in geomechanics [11][12][13], in solving problems of pattern recognition [14][15][16][17][18] and classification [19,20], medicine [21], in tracking objects based on a Kalman filter [22], modeling of personal identification processes [23], creating a model of an access control system [24], creating models to improve image contrast [25], when modeling predictive indicators [26] and in sports research [27], as well as in hydromechanics [29,29]. In our case, for modeling and automatic control of the agricultural sector, the PHP programming language and the MySQL database, as well as various methods of data mining [30,31], were used.…”

Section: Resultsmentioning

confidence: 99%

Automation of the Agricultural Sector of the Republic of Uzbekistan

et al. 2023

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In the agricultural sector of the Republic of Uzbekistan, a tendency to automate production and business processes can be seen. Agriculture automation helps to significantly reduce the amount of manual labour, while increasing work efficiency. It is possible to single out the following practical advantages of introducing automation in the agricultural sector: it becomes possible to manage production, technological and business operations in an optimized and effortless manner; the competitiveness of the goods is growing through improving the quality and reducing the cost; the productivity of agricultural enterprises increases; cost minimization leads to a drop in the cost price of manufacture of products, and a manufacturing organization can offer the products at a price, which is affordable for the buyer and at the same time profitable for the manufacturing organization. The use of modern technologies for the ‘intellectualization’ of agriculture makes it possible to preserve and restore the beneficial properties of groundwater and soil; to provide environmentally safe and effective pest control; to remotely monitor compliance with the certification requirements of organic agriculture. It is necessary to automate not only production, but also business processes in the agricultural sector. The main goal is to increase the productivity of enterprises, minimize the number of errors associated with the ‘human factor,’ and reduce the amount of ‘manual labour’. The article substantiates a systematic approach to the formation of the information space of an agricultural enterprise, taking into account the needs of all participants in process management, the choice of a software and hardware platform and methods for automating the software development process.

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Section: Resultsmentioning

confidence: 99%

Automation of the Agricultural Sector of the Republic of Uzbekistan

et al. 2023

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“…Therefore, issues related to the transition from a large size to a smaller one, which is more important in the primary processing of medical information, that is, with the selection and evaluation of information sign complexes, the formation of symptom complexes in the context of information sign complexes and the development of modern recognition systems that help industry specialists in solving issues such as diagnosis on based on them. In particular, the decision on the transition from a large size to a smaller significant size during primary data processing, that is, on the set of informative symbolic complexes, was of interest to scientists around the world, and in this regard, a number of studies are underway [ 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15]. This article also develops an algorithm for selecting an informative set of symbols based on classification error coefficients and probabilistic indicators in the representation of symbols.…”

Section: Introductionmentioning

confidence: 99%

An Algorithm for Selecting an Informative Symbolic Complex Based on Classification Error Coefficients and Probabilistic Indicators in the Representation of Symbols

Primovich,

Khojamurodovich

2024

ijasr

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In the primary processing of information, in particular in character recognition, an important issue is the selection and classification of an informative feature or a set of features classifying objects. Despite the fact that a number of methods and algorithms have been proposed to solve these problems, there are many problems in this direction that are waiting to be solved. This is due to the fact that many of the proposed approaches strongly depend on the nature of the object of study, the number of its features, the type of perceived values of features, the size of the study sample, etc., and impose certain requirements on the above. In addition, each method or algorithm will strongly depend on whether the criterion of informative selection of features and the defining rule determining the quality of the choice made are correctly chosen.This article presents a description of the algorithm developed taking into account the above approaches to the selection of information complexes of signs, as well as recommendations on the application of this algorithm in practical matters of the medical field, i.e. in ischemic heart disease obtained as an object of study (5 classes, 507 objects, 89 signs, including X_1 class “strenuous angina”, X_2 class “Acute myocardial infarction”, class X_3 “Arrhythmic form”, class X_4 “Postinfarction cardiosclerosis”, for class X_5 “Persistent form of atrial fibrillation”) formulated training was applied to the selection and positive results were achieved.

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“…The formation of a knowledge-based economy is the way to develop the information society, where the main focus is on the development of science, innovation, culture, the information industry and human capital [6]. Demand in market relations for information and information services has led to the fact that modern information processing technology is focused on the use of a wide range of technical means, computers, communications, as well as methods of data analysis and processing [7][8][9][10][11][12][13][14][15][16][17][18][19]. Computing systems and networks of various configurations are created on their basis in order to accumulate, store, process information, bring terminal devices as close as possible to the workplace of a specialist or decision maker [20,21].…”

Section: Introductionmentioning

confidence: 99%

Information technologies in the agricultural economy

Makhmudova,

Ismailov,

Kodirova

et al. 2023

E3S Web Conf.

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This article discusses not only the practical application of “precision agriculture” in the software of electronic equipment, the convenience of remote control and on-board sensors for moving automatic parts of machines and units, as well as the acceleration of solving problems of managing the agro-industrial complex using electronic equipment, increase in the amount of funding, but also training personnel capable of creating and applying information technologies in agriculture, including in “precision agriculture.

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A Symptom Selection Algorithm Based on Classification Errors

Cited by 4 publications

References 19 publications

Automation of the Agricultural Sector of the Republic of Uzbekistan

Automation of the Agricultural Sector of the Republic of Uzbekistan

An Algorithm for Selecting an Informative Symbolic Complex Based on Classification Error Coefficients and Probabilistic Indicators in the Representation of Symbols

Information technologies in the agricultural economy

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