OJS Tashkent State University of Economics
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PARALLELISM AND SUPERPOSITION: REASONS FOR THE SUPERIORITY OF QUBIT OVER CLASSICAL BIT
No full textThe future of computing is greatly influenced by the revolutionary characteristics of quantum bits (qubits) and quantum superposition, which offer significant advantages over classical computing. This paper explores the superiority of qubits compared to classical bits, delving into the principles of quantum superposition and its mathematical representation. Additionally, it examines the differences between Shor\u27s algorithm and classical algorithms. Qubits, with their ability to exist in multiple states simultaneously due to quantum superposition, dramatically enhance computational efficiency. This paper provides an in-depth analysis of the mathematical aspects of qubits, highlights the advantages of quantum computing through algorithms like Shor\u27s, and compares quantum and classical algorithms, discussing the capabilities and limitations of quantum computing
THE INFLUENCE OF INVESTMENTS ON INNOVATIVE ACTIVITIES IN ENTERPRISES ON THE PROFITABILITY OF ASSETS
No full textThe article analyzes the impact of investments in innovative activities on the profitability of the company\u27s assets. The article examines the mechanisms of this effect, provides statistical analysis data, and develops recommendations for managing investments in innovation to increase the profitability of assets
ANALYSIS OF FILTERS FOR PROCESSING VIDEO IMAGES
No full textEvery day the number of images taken by the camera is increasing. Many photos are taken outdoors, where weather conditions can affect the quality of the captured images. Degradation caused by atmospheric phenomena is difficult to see by the human eye, and also reduces recognition by computer vision algorithms. Therefore, the task of processing such images is the most important. This article is devoted to the processing of images distorted by fog or rain. All modern methods in this field are based on supervised learning. In addition, information is provided about some image processing methods and their quality, intensity levels, and pixels whose GT exceeds a specified threshold are considered noise
The Modern trends in the application of intelligent systems in the management of economic objects
No full text The article is devoted to the issues of improving the management processes of economic entities based on the use of artificial intelligence technologies. The work provides the general structure and components of an intelligent information system - a knowledge base, a decision-making mechanism and an intelligent interface. The knowledge base is characterized as a set of models, rules and data that allow generating and analyzing conclusions to find solutions to complex problems in a certain subject area
INTELLEKTUAL O‘QITISH TIZIMIDA BILIM OLUVCHINING NORAVSHAN MODELINI TASHKIL ETISH YONDASHUVI
No full textMaqolada ta’lim sohasida tahsil olayotgan bilim oluvchilarning bilimini baholashga mo‘ljallangan intellektual o‘qitish tizimining xulosalash mexanizmida bilim oluvchining noravshan modelini tashkil etish yondashuv masalasiga bag‘ishlangan. Bilim oluvchining turli modellarining tasnifi va misollar yordamida bayon etilgan. Bilimlarni baholash uchun eng mos model tanlangan va asoslangan. Fan sohasi modeliga asoslangan bilim oluvchi bilimlarining dinamik qatlamli noravshan modelini tashkil etish yondashuvi keltirilgan
DECODING REAL ESTATE VALUATIONS THROUGH COMPREHENSIVE ANALYSIS OF TASHKENT’S HOUSING MARKET
No full textThis investigation delves into Tashkent city\u27s real estate dynamics by examining a comprehensive dataset of property listings from January 2015 to September 2023, sourced from uybor.uz. Emphasizing residential real estate within the metropolitan expanse, the study rigorously preprocessed the data, ad- dressing missing values with mean imputation, outliers with the Interquartile Range (IQR) method, and standardizing numerical variables. Through Explora- tory Data Analysis (EDA), we leveraged statistical summaries and visualizations to decode distributions and inter-variable correlations, focusing on the Pearson correlation coefficient for linear relationship insights. Utilizing Elliptic Envelope Outlier Detection underpinned by the Mahalanobis distance, we isolated 186 out- liers, constituting 2.51% of the data, to uphold the integrity of our correlation assessment. The refined analysis revealed notable linear correlations between property prices and sizes, indicative of market behavior. Our methodology and analytical outcomes yield profound insights into the housing market\u27s nuances, equipping stakeholders with data-driven guidance. The discourse on inliers and outliers underscores their influence on market analysis and valuation models, ad- vocating for nuanced interpretations that accommodate market complexity. Our findings illuminate market trends and endorse a fortified framework for real es- tate evaluation, emphasizing the critical role of outliers in understanding the full scope of market dynamics
TARMOQ ELEKTRON RESURSLARIGA DDOS HUJUMLARI TAHLILI
No full textUshbu maqola tarmoqqa ulangan elektron resurslarga DDoS hujumlari va ularni aniqlash va oldini olishda mashinali o‘qitishdan foydalanishning afzalliklari haqida umumiy ma’lumot beradi. Hujumlarning turlari, an’anaviy xavfsizlik usullari bilan bog‘liq muammolar va mashinali o‘qitishning roli ko‘rib chiqiladi. Algoritm tanlash, o‘qitish ma’lumotlari va noto‘g‘ri ijobiy boshqaruv muhokama qilinadi. Tadqiqot natijalari va xulosalari taqdim etiladi. Maqola axborot xavfsizligi sohasidagi mutaxassislar uchun foydalidir
RAQAMLI TA`LIM TIZIMIDA SUN\u27IY INTELLEKTDAN FOYDALANISH
No full textMaqolada sun\u27iy intellekt va undan ta`lim tizimida foydalanish jihatlari yoritib berilgan. Rivojlangan mamlakatlarda sun`iy intellektdan foydalanish tajribalari o`rganilgan. Dunyo zamonaviy ta\u27lim makoniga sun\u27iy intellektni joriy etish funktsiyalari va misollari ko\u27rsatilgan.
Raqamli ta`limning turli platformalarida sun`iy intellektdan foydalanish imkoniyatlari tahlili berilgan hamda o‘quv jarayoniga sun’iy intellektni joriy etish ta`lim jarayonida o`qituvchi va talabalar uchun qulayliklar yaratishi haqida xulosalar berilgan
TAQSIMLASH MEXANIZMLARI ASOSIDA MA’LUMOTLARNI OPTIMAL SAQLASH UCHUN MASHINAVIY O’QITISH ALGORITMLARINI QO’LLASH
No full textHozirda raqamli texnologiyalar va sun’iy intellekt mexanizmlari barcha sohalarga ta’lim, ijtimoiy-iqtisodiy, boshqaruv va ishlab chiqarish sohalarida keng joriy qilinmoqda. Internet tarmog’i orqali ma’lumotlar almashinuvi va ma’lumotlarni sifatli qayta ishlash bugungi kunda keskin darajada oshib bormoqda. Buning natijasida ma’lumotlarning hajmi keskin oshishi vujudga kelishiga sabab bo‘lmoqda. Ushbu katta ma’lumotlarni noan’anaviy usullar va tizimlar yordamida sifatli tez qayta ishlash masalasi dolzarb tadqiqot mavzularidan biriga aylanmoqda. Mazkur tadqiqot ishida internet tarmog’ida ishlaydigan ishida axborot tizimlarida ma’lumotlarni tezkor qayta ishlash va optimal saqlash uchun ma’lumotlar bazasidagi jadvallarni taqsimlashda mashinaviy o’qitish usullarini qo’llash masalasi yechilgan. Mashinaviy o’qitishning ko‘p o‘zgaruvchili chiziqli regressiya, Poliynomial regressiya algoritmlaridan foydalanish samaradorligi tahlil qilingan. Natijada mashinaviy o’qitish asosida ma’lumotlar bazasidagi jadvallarni taqsimlashning samaradorligi oshirilgan
BRAYL MATNLARI UCHUN MOSLASHUVCHAN CHEKLOVLAR VA QIYALIK BURCHAGINI ANIQLASH USULI
No full textThis article investigates the application of Optical Character Recognition (OCR) techniques for accurately identifying the Latin Braille alphabet in the Uzbek language, specifically designed to support individuals with visual impairments. The recognition process integrates a variety of image processing and analysis approaches to enhance the precision of character detection. Particular focus was placed on implementing adaptive thresholding techniques to handle variations in image lighting and contrast. Additionally, the method incorporates the determination of text inclination angles, which is crucial for correcting skewed input images and improving the overall accuracy of Braille text recognition