In this article, the stages of implementation of machine translation based on artificial intelligence algorithms, the current results in this regard are analyzed, and the relevance of the creation of Uzbek language translator programs is highlighted.
23.04.2023 View more Download
This paper presents potential solutions to overcome the challenges of speech emotion recognition (SER) system modeling, which can aid in developing more accurate and robust emotion recognition systems. Developing accurate and robust SER models requires addressing several challenges, including variations in speech patterns, limited emotional datasets, overfitting, and integrating contextual and multimodal information. The potential solutions presented in this paper can aid in developing SER systems that can benefit several application domains.
23.04.2023 View more Download
The article discusses the advantages of using AI for real-time monitoring of groundwater, the difficulties related to this technology, and potential approaches to address these difficulties. This will lead to the creation of more efficient groundwater management strategies that ensure the sustainable use of groundwater resources while safeguarding public health and the environment. Additionally, the article presents examples of successful implementation of real-time monitoring of groundwater using AI in various parts of the world.
23.04.2023 View more Download
The article deals with the problems of using fuzzy methods for solving machine learning problems. The article also deals with the problem of developing a model of the neuro-fuzzy network system ANFIS based on fuzzy logic. A general system architecture has been developed for performing time series forecasting based on numerical indicators and checking its results through the ANFIS neural network.
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This article analyzes the impact of AI on sportsmen's health through several steps. AI has the potential to revolutionize sports health by providing valuable insights, but ethical considerations must be taken into account, such as data privacy and over-reliance on technology. By carefully considering these implications, sports organizations can leverage AI to improve athletes' health and performance while protecting their well-being.
23.04.2023 View more Download
This article presents a comprehensive review of the current state of Artificial Intelligence (AI) and its applications across various industries. Literature review allowed to identify the most common AI applications, the challenges and ethical considerations associated with AI adoption, and the latest trends and developments in AI technology. Results highlight the potential of AI to revolutionize industries such as healthcare and finance, but also the need to address data privacy, biases, and discrimination issues. In conclusion, the importance of developing and using AI in a responsible and ethical manner, to ensure that its benefits are maximized while minimizing its potential negative impacts is emphasized.
23.04.2023 View more Download
The article provides an overview of various publications on the use of artificial intelligence (AI) in the tourism industry. In particular, the benefits of using AI at various stages of travel organization are discussed: customer service, transportation, booking and reservations, customer protection, security, sustainability, service availability and personalized travel itineraries. The possibilities of AI in improving the efficiency and quality of services provided are analyzed, the need for a balance between AI and human interaction is substantiated in order to fully satisfy customer requests and coordinate the system of organizing tourist trips.
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Maqolada o’quv tanlanmadagi timsollari soni, belgilar soni hamda timsollarni tanib olishdagi ehtimoliy xatolik va uning ishonchlilik qiymatlari oldindan berilganda, o’quv tanlanma sinflarini bir-biridan klassifikatorlar yordamida xatosiz yoki xatoli ajratish hamda ular asosida yangi timsollarni tanib olish masalalasi qo’yilgan va echilgan. Qoyilgan masalani yechish uchun: har bir klassifikatorning tarkibiga kiruvchi belgilar sonining yuqori chekli qiymatini va uning asosida har bir sinf uchun klassifikatorlarni aniqlash va ular orasidan aniq bir sinfdagi timsollarni boshqa sinflardagi timsollardan xatosiz ajratuvchi informativ klassifikatorlarni tanlab olish, hal qiluvchi qoidalarni qurish ва ular asosida yangi timsollarni tanib olishda belgilangan sifat va ishonchlilikni qanoatlantiruvchi protseduralari keltirilgan. Taklif etilgan protseduralar asosida amaliy masalalarni yechish uchun algoritm va dasturiy majmua ishlab chiqilgan. Test masala yechilgan, EHM da hisoblash exsperimentlari o’tkazilgan, yangi timsollarni tanib olish natijalari keltirilgan.
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KS(konteks erkin grammatika) - tabiiy tilni qayta ishlashning ishlashning asosiy tushunchalaridan biridir,shuning uchun KS-grmmatika orqali o’zbek tilining matnlarini sintaktik tahlil qilishni yaratish o’zbek tili uchun muhim vazifadir.Ushbu maqolada o’zbek tili uchun KS- grammatikadan foydalanib o’zbek tilidagi sodda gaplarning sintaktik tahlil daraxti haqida so’z boradi.
22.04.2023 View more Download
The article discusses the features of the global development of modern digital technologies, in particular artificial intelligence, and presents current trends in the development of artificial intelligence in the world. The main problems of the development of the digital economy in Uzbekistan are summarized.
22.04.2023 View more Download
SCIENCE & INNOVATION