International scientific journal "Science and Innovation"

Series A Volume 2 Issue 2


DEVELOPMENT OF A “SALIVA” HARDWARE-SOFTWARE COMPLEX MODULES FOR THE PRIMARY DIAGNOSIS OF GASTROINTESTINAL DISEASES

Yakhshiboyev Rustam

The article deals with the issues of diagnosing gastrointestinal diseases based on human saliva. The results obtained in solving the problems of identifying and primary diagnosis of gastrointestinal symptoms as a result of a change in the composition of saliva were analyzed and the results obtained were compared with the results obtained in the works of other scientists.

04.02.2023 Volume 2 Issue 2 View more Download

ENSURING EMPLOYMENT OF LABOR RESOURCES IN AGRICULTURE

Berdimurodov U. S., Sharipov Z., Xakimov B.B., Ruziev D.I.

In the article, the characteristics of the formation of labor resources in agriculture, regardless of the form of ownership, the need to follow the requirements of the market economy and the need to ensure the employment of labor resources are seen. The potential of a person to work has been determined. Conclusions are given on the effective use of labor resources, reproduction of labor force regardless of the ownership forms of the economy in agricultural production, and justification of the main factor of the production process.

04.02.2023 Volume 2 Issue 2 View more Download

RECOGNITION OF UZBEK HANDWRITTEN TEXTS BY SELECTION OF ACTIVATION FUNCTIONS FOR CONVOLUTIONAL NEURAL NETWORK

Iskandarova Sayyora Nurmamatovna, Kuchkarov Zoir Turdiboy ogli

Activation functions are important in each neural network. This article highlights the advantages and disadvantages of activation functions in convolutional neural network recognition of handwritten text images. A comparative analysis is presented based on the remaining neural network models through selected activation functions. 95 percent recognition efficiency was achieved through the organized convolutional neural network.

03.02.2023 Volume 2 Issue 2 View more Download

THE ALGORITHMS FOR INITIAL PROCESSING AND RECOGNITION OF HANDWRITTEN TEXT IMAGES

Iskandarova Sayyora Nurmamatovna, Kuchkarov Zoir Turdiboy ogli

This article presents the steps of binary morphological processing of handwritten texts, the steps of segmentation for handwritten texts and their classification procedures. A comparative analysis of the results obtained in CNN+LSTM+CTC and CNN+LSTM+fuzzy CTC neural network architectures for handwritten text image recognition and processing is provided.

03.02.2023 Volume 2 Issue 2 View more Download

UZBEKISTAN ON THE WAY TO TRANSITION TO IFRS

Mukhametov Abubak Babayevich, Matkulieva Sanobar Ismailovna, Matrasulov Bahodir Erbutaevich

Starting from January 1, 2021, the Republic of Uzbekistan is switching to international financial reporting standards. When implementing IFRS, many problems arise related to personnel, regulatory legal acts and others. When switching to IFRS, special attention should be paid to IFRS 1 "First Application of International Financial Reporting Standards".

01.02.2023 Volume 2 Issue 2 View more Download