OJS Tashkent State University of Economics
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НУТҚ СИГНАЛЛАРИДАН ШОВҚИНЛАРНИ БАРТАРАФ ЭТИШ ВОСИТАЛАРИ
No full textМазкур тадқиқот иши нутқ сигналларини қайта ишлашни замонавий технологиялари, хусусан, шовқин пасайтириш воситалари таҳлили ҳамда аудио маълумотлар сифатини яхшилашда улардан фойдаланишга бағишланган. Сўнгги ўн йилликларда нейрон тармоқ ва машинали ўқитиш усулларини жорий этиш орқали нутқни аниқлаш ҳамда шовқин пасайтириш тизимлари сезиларли даражада ривожланди. Мазкур ишда аудио ва видео маълумотлардаги фон шовқинларини пасайтиришда фойдаланиладиган сунъий интеллект технологияларига асосланган Adobe Enhance Speech, Audio Enhancer, Veed.io, Audio Tool Set, AI Costic, UniConverter, Noise Blocker каби платформа ва дастурий маҳсулотлар ўрганилиб, дастурий маҳсулотлар имкониятлари, қўллаб-қувватлаш форматлари ва платформалари асосида қиёсий таҳлиллар амалга оширилган. Бунда асосий эътибор аудио ва видео маълумотларни ёзиб олишда нутқни идрок этишга халақит берувчи шовқинларни бартараф этиш воситаларига қаратилган
HAFFMAN ALGORITMI ASOSIDA MA’LUMOTLARNI QAYTA KODLASHTIRISH YORDAMIDA ARXIVLASHTIRISH
No full textUshbu maqolada Haffman algoritmi asosida ma’lumotlarni qayta kodlashtirish yordamida arxivlashtirish mohiyati bilan tanishishga qaratilgan. Unda Aхborotlarni Хaffman algoritmi bo‘yicha siqish va undagi uchraydigan har bitta simvol uchun umumiy yig‘indi miqdorlar hisoblash usullari keltirilgan. Maqolada ikkilik kodlash daraxti asosida axborotlarni siqish uchun “Veni, vidi, vici” algoritmlarining samardorligi ko‘rsatilgan. Har bir kodlanishining noaniqligini ko‘rsatishda, paydo bo‘lish chastotasi bir xil bo‘lgan belgilarning joylashishiga bog‘liqligi ko‘rsatib o‘tilgan
TRANSPORT MASALASINING TADBIQI: DORIXONALARGA DORI-DARMON YETKAZIB BERISH MISOLIDA
No full textUshbu ishda biz transport masalasining aniq hayotiy masalaga tadbiqini ko’rib o’tamiz. Hayotiy masala sifatida Samarqand shahridagi bir nechta dorixonalarga dori-armon yetkazib beruvchi aytim bazalar qaraladi. Maqsad bazalardan dorixonalarga dori-darmon yetkazib berish narxlari, vaqti va yo’lini minimallashtirishdan iborat. Bu esa yakunda mijozlar uchun dori-darmon narxlarining pasayishiga, shahar markazida transport vositalari harakatining kamayishiga va shahar markazida transport tufayli hosil bo’ladiga havo ifloslanishni kamayishini taminlashga xissa qo’shadi
METAMA’LUMOT TUSHUNCHASI VA UNING HUQUQIY MUHOFAZASI
No full textUshbu maqolada metama’lumotlar tushunchasi va uning huquqiy muhofazasi masalalari tahlil qilinadi. Maqolada metama’lumotlarning shaxsiy ma\u27lumotlar bilan bog‘liqligi, ulardan foydalanishdagi huquqiy va texnik muammolar ko‘rib chiqiladi. O‘zbekiston va xalqaro qonunchilikdagi metama’lumotlarning huquqiy tartibga solinishi o‘rganiladi. Shuningdek, metama’lumotlarni himoya qilishning texnik va huquqiy mexanizmlari tahlil qilinib, raqamli makondagi shaxsiy hayotni muhofaza qilishda metama’lumotlarning ahamiyati yoritib beriladi
NOISE SUPPRESSION USING DEEP LEARNING (DL) FOR REAL-TIME SPEECH ENHANCEMENT
No full textThis paper presents a deep learning-based approach to noise suppression in speech signals, comparing convolutional neural networks and recurrent architectures. Inspired by the SEGAN model, a fully convolutional network with residual connections is developed and optimized for TFLite deployment. Results demonstrate effective denoising performance with low latency. Additionally, LSTM models are evaluated, confirming their superiority in handling temporal dependencies in variable-length audio sequences
THЕ MАIN THЕORY OF LINЕАR RЕGRЕSSION MODЕLS IN DАTА MINING
No full textRеgrеssion рroblеms аrе common in thе fiеld of mаchinе lеаrning, аnd rеgrеssion аnаlysis is frеquеntly еmрloyеd to аddrеss thеm. It rеliеs on dаtа modеling аnd involvеs idеntifying thе oрtimаl fitting linе thаt раssеs through аll dаtа рoints whilе minimizing thе distаncе bеtwееn thе linе аnd еаch dаtа рoint. Аlthough thеrе еxist аltеrnаtivе аррroаchеs to rеgrеssion аnаlysis, linеаr аnd logistic rеgrеssion аrе thе most еxtеnsivеly utilizеd mеthods. Ultimаtеly, thе choicе of rеgrеssion аnаlysis modеl dереnds on thе chаrаctеristics of thе dаtа
UNIVERSITIES AS BEACONS OF HOPE IN AN ERA OF CHANGE
No full textIn today\u27s world, where we are surrounded by unprecedented challenges and breathtaking opportunities, the role of universities in shaping the trajectory of societal progress becomes increasingly crucial. Just as the Renaissance marked a period of profound transformation in European society, characterized by a resurgence of learning, creativity, and innovation, we stand today on the cusp of what some envision as a "third renaissance." This essay explores the pivotal role that universities play in laying the groundwork for such a renaissance, examining their contributions to fostering innovation, nurturing critical thinking, promoting interdisciplinary collaboration, and driving societal advancement
OPTIMIZING AN AI-DRIVEN CHATBOT THROUGH NATURAL LANGUAGE PROCESSING AND REAL-TIME FEEDBACK FOR PERSONALIZED RECOMMENDATIONS
No full textIn recent years, the application of artificial intelligence (AI) in the field of recommendation systems has gained significant traction due to its ability to handle complex and non-linear data. This paper explores the optimization of an AI-driven chatbot designed to provide personalized recommendations. By leveraging Natural Language Processing (NLP) and real-time feedback mechanisms, the chatbot continuously learns and adapts to user preferences, enhancing its recommendation accuracy. The study demonstrates how integrating these technologies into the chatbot\u27s architecture can improve user satisfaction and interaction efficiency. The results indicate a significant enhancement in the chatbot\u27s ability to offer tailored suggestions, thereby underscoring the potential of AI-driven systems in personalized user experiences
THE USE OF ARTIFICIAL INTELLIGENCE IN EDUCATION AND ITS IMPACT ON EDUCATION
No full textIn this article, we will analyzes the potential advantages and disadvantages of AI in education, as well as the extent to which AI has an impact on education, improved assessment, teacher and student convenience, i.e. new learning opportunities. the introduction of teaching methods using technologies is studied. Drawing on various studies and perspectives, the article argues that while AI has its own risks and drawbacks, its benefits in education are significant. The article suggests the need for more empirical research on the impact of AI on education, and for educators to collaborate with experts in the creation of AI
Is Journalism School Making Journalists Obsolete?
No full textThis topic explores the evolving landscape of journalism and the role of journalism education in preparing students for the challenges of the modern media environment. It raises questions about whether traditional journalism curricula are equipping graduates with the necessary skills to thrive in the digital age. The media industry has undergone significant transformations in recent years, with the rise of digital platforms, social media, and citizen journalism. Traditional journalism education may not be keeping pace with these changes, resulting in graduates who are ill-prepared for the demands of the modern media landscape. As audiences become increasingly sophisticated and discerning, they expect journalists to provide high-quality, original content that is relevant and engaging. Traditional journalism education may not be adequately preparing students to meet these expectations, leading to a decline in the value of journalism degrees. The proliferation of digital tools has empowered individuals to become citizen journalists, sharing their own news and stories online. This trend may challenge the traditional role of professional journalists and reduce the demand for journalism graduates