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Automation of communications between employees and patients of medical institutions

Nursultan Sagidullaev (Author)
This article discusses methods for automating communication between healthcare workers and patients. An integrated communication platform is proposed, outlining its key advantages and the mathematical modeling basis.
27-08-2025
  • PDF (Russian)
12-14 0 0

Digital government: automation of citizens' appeals the role of ICT

Sherzod Saidrasulov (Author)
The article analyzes the system of handling citizens’ appeals in our country, the processes of their reception and consideration, as well as the role of modern information technologies, particularly the Virtual Reception and the “Murojaatlar” portal, in these processes. It discusses the implementation of automated systems aimed at ensuring citizens’ rights, enhancing transparency, and reducing human involvement. The article highlights the significance of e-government platforms in improving communication between the state and citizens.
28-08-2025
  • PDF (Uzbek)
184-188 0 0

Classification of key financial indicators of business entities

Timur Asatov (Author)
This article is devoted to the importance of financial analysis and classification of financial indicators. The main goal of financial analysis is to improve the efficiency of business entities, assess the financial position and help make key decisions for its future. The article considers various objects and indicators of financial analysis, in particular liquidity, profitability, financial stability, efficient use of assets and debt ratios.
28-08-2025
  • PDF (Uzbek)
120-128 0 0

Problems and solutions of big data analysis in dermatoscopic image processing

Gozal Gulmirzaeva, Jamshid Rajabov (Author)

The digitalization of healthcare demands automated analysis of dermoscopic images. These images are crucial for the early detection of skin lesions, particularly melanoma. This paper discusses the main challenges in image processing non-standard formats, dataset imbalance, and feature ambiguity and presents a sequence diagram designed for an automated analysis system based on these challenges.

25-08-2025
  • PDF (Uzbek)
204-207 1 0

How ai is changing our lives: modern realities and the future

Zoyirjon Ibragimov, Nargiza Ibragimova (Author)
Artificial intelligence (Al) is becoming an integral part of everyday life, actively influencing many aspects of human activity. Al technologies are used to automate routine tasks, improve the quality of service and enhance convenience in various fields, such as medicine, education, transportation, finance and entertainment. For example, voice assistants, recommendation systems, smart homes and chatbots significantly simplify the performance of daily tasks. However, along with the benefits, Al raises questions related to ethics, privacy and data security. The impact of artificial intelligence on the labor market raises concerns about replacing human labor, while the rapid development of technology generates the need to adapt to new conditions. This topic emphasizes the importance of studying the benefits and risks associated with the implementation of Al, as well as developing strategics for its effective use to improve the quality of life and minimize possible threats. Keywords: Artificial intelligence (Al), machine learning, deep learning, automation, smart devices, robotics, data analysis, computer vision, chatbots, digital transformation, social networks and algorithms.
22-08-2025
  • PDF (Russian)
102-106 0 0

Brain from code – how algorithms make business successful

Javokhirbek Esonov, N Egamberdiev (Author)
This work is dedicated to exploring the application of machine learning (ML) in transforming business processes within the digital economy. The study examines the potential of ML algorithms for automating management, forecasting key performance indicators (KPIs), and optimizing resource allocation. The article provides a detailed overview of theoretical foundations, the methodology for developing software solutions, and the results of experiments conducted on real-world data from logistics and e-commerce. Examples of using linear regression, random forest, gradient boosting, and neural networks are presented, demonstrating their effectiveness in enhancing productivity and reducing costs. The work emphasizes the strategic role of ML as a tool for achieving competitive advantages and suggests directions for further research in adapting these technologies to various industries.
28-08-2025
  • PDF (Uzbek)
219-224 0 0

The role of digital technologies and artificial intellect in science and industry

Shoira Sottorova, Xilola Xikmatova (Author)
This article analyzes the role of digital technologies and artificial intelligence in modern society, especially their application in science, education, and industry. The paper highlights practical uses of Al technologies, their impact on human activity, efficiency, and development prospects.
22-08-2025
  • PDF (Uzbek)
64-66 0 1

The role of digital technologies and artificial intelligence in logistics between Russia, china and Uzbekistan

Dinara Abdurasulova (Author)
This article examines the impact of digital technologies and artificial intelligence on logistics between Russia, China and Uzbekistan. The theoretical and practical aspects of Al application in logistics systems are described, as well as the possibilities of optimizing processes, increasing efficiency and reducing costs are analyzed. The strategic importance of logistics for the development of the economics of these countries in the context of globalization is emphasized.
28-08-2025
  • PDF (Russian)
136-139 0 0
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