Management and Future Technologies SCIENTIFIC JOURNAL | № 003

Management and Future Technologies journal.umft.uz October 2024 Volume 1, Issue 3 101 ʻ ʻ ʻ

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Management and Future Technologies journal.umft.uz October 2024 Volume 1, Issue 3 103 Kiruvchi yo‘l sahnasining dinamik tasviri 1-bosiqch. Dinamik tasvirlardan kadrlarni ajratib olish Kadrlarni ajratib olish Yo‘l belgilari mavjud kadrlarni saralash Tasvirlarni qismlarga ajratish (o‘quv, test) Tasvir fayllarini qayta nomlash 2-bosqich. Yo‘l belgilarining izohli ma’lumotlar to‘plamini shakllantirish Yo‘l belgilari sinflarining nomlarini faylga yozish Ma’lumotlar to‘plami tasvirlarining izohli fayllarini yaratish Ma’lumotlar to‘plamining bog‘lanish struktura faylini ishlab chiqish Tasvirlarni va izohli fayllarni qismlarga ajratish (o‘quv, validatsiya) 3-bosqich. Ma’lumotlar to‘plamini sun’iy ko‘paytirish Ma’lumotlar to‘plamini sun’iy ko‘paytirish usullarini aniqlash Ma’lumotlar to‘plamidagi tasvirlarni sun’iy ko‘paytirish Ma’lumotlar to‘plamini tahlil qilish Ma’lumotlar to‘plamidagi izohli fayllarni sun’iy ko‘paytirish Chiquvchi yo‘l belgilari ma’lumotlar to‘plami

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Volume 1, Issue 3 October 2024 Management and Future Technologies journal.umft.uz 108 ʼ Ma’lumotlar to‘plamini asosiy tasvirga asoslangan sun’iy kengatirish usullari Yadroli filtrlash Geometrik ko‘chirishlar Tasodifiy o‘chirish Tasvirlarni aralashtirish Rang maydonini o‘zgartirish

Management and Future Technologies journal.umft.uz October 2024 Volume 1, Issue 3 109

Volume 1, Issue 3 110 October 2024 Management and Future Technologies journal.umft.uz Boshlash Tasvir va izohli fayllar uchun papka yaratish, manzilni olish Yo‘q Izohli faylni olish<Jami izohli fayllar soni Ha Bir xil nomli tasvir va izohli faylni olish, tasvir o‘lchamini aniqlash hamda izohli faylni o‘qish Yo‘q Izohli fayldagi satrni olish<Jami satrlar soni Ha Satrdagi sinf raqamini aniqlash Satrdagi chegaralovchi ramka qiymatini olish<4 Yo‘q Ha Chegaralovchi ramka qiymatlarini aniqlash Masshtablash Chegaralovchi ramka qiymatlarining massivini hosil qilish Aylantirish Sun’iy ko‘paytirish kutubxonasiga tasvir va massivni hamda parametrlarni yuborish Yangi tasvir va izohli faylni hamda ma’lumotlarni saqlash Tamom Kesib olish O‘lchamini o‘zgartirish

Management and Future Technologies journal.umft.uz October 2024 Volume 1, Issue 3 Yo‘l belgilari ma’lumotlar to‘plami *.yaml O‘quv (80%) *.jpg 17587 *.txt ... c-sinf raqami; x1, y1 – chegaralovchi ramkaning o‘ng yuqori burchagining kordinatasi; 17587 ... Izoh Tasvir *.jpg 2198 ... *.txt 2198 Tasvir *.jpg ... Izohli faylning strukturasi c x1 y1 x2 y2 2198 ... Yo‘l belgilari ma’lumotlar to‘plami: O‘quv-17587 ta tasvir, 17587 ta izohli fayl. Validatsiya-2198 ta tasvir, 2198 ta izohli fayl. x2, y2 – chegaralovchi ramkaning chap pastki burchagining kordinatasi. Test (10%) Validatsiya (10%) Izoh Tasvir 111 Test-2198 ta tasvir.

Volume 1, Issue 3 112 October 2024 Management and Future Technologies journal.umft.uz Adabiyotlar 1. Ahmed Hechri, Abdellatif Mtibaa. Two-stage traffic sign detection and recognition based on SVM and convolutional neural networks // IET Image Process., 2020, Vol. 14 Iss. 5, pp. 939-946. 2. Ahmed Madani, Rubiyah Yusof. Malaysian Traffic Sign Dataset for Traffic Sign Detection and Recognition Systems // Journal of Telecommunication, Electronic and Computer Engineering. ISSN: 2180-1843 e-ISSN: 2289-8131 Vol. 8 No.11. 3. Aleksej Avramović, Davor sluga, Domen Tabernik, Danijel Skočaj, Ladan Stojnić, Nejc Il. Neural-Network-Based Traffic Sign Detection and Recognition in High-Definition Images Using Region Focusing and Parallelization // Digital Object Identifier 10.1109/ACCESS.2020.3031191, Volume 8, 2020. 4. Alexander Shustanova, Pavel Yakimov. CNN Design for Real-Time Traffic Sign Recognition // 3rd International Conference “Information Technology and Nanotechnology”, ITNT-2017, 25-27 April 2017, Samara, Russia. Procedia Engineering 201 (2017) 718-725. 5. Artamonov N.S., Yakimov P.Y. Towards Real-Time Traffic Sign Recognition via YOLO on a Mobile GPU // The IV International Conference on Information Technology and Nanotechnology, Journal of Physics: Conf. Series 1096(2018) 012086. doi:10.1088/17426596/1096/1/012086.

Management and Future Technologies Authors Dadabayeva Rano Department of Digital economy and information technologies, Tashkent State University of Economics, Tashkent, Uzbekistan; dadabayeva. rano@gmail.com Abdulakhatov Muzaffarjon Department of Digital economy and information technologies, Tashkent State University of Economics, Tashkent, Uzbekistan; muzaffar. abdulakhatov@gmail.com Abdullaeva Iroda Department of Digital economy and information technologies, Tashkent State University of Economics, Tashkent, Uzbekistan; i.abdullayeva74@gmail.com Correspondence: muzaffar. abdulakhatov@gmail.com Copyright: © 2024 by the authors. Ushbu maqola Creative Commons Attribution (CC BY) litsenziyasi shartlari asosida tarqatiladigan ochiq foydalanish maqolasi hisoblanadi (https://creativecommons.org/ licenses/by/4.0/). journal.umft.uz October 2024 Volume 1, Issue 3 DIGITAL MARKETING COMMUNICATION TOOLS ANALYSIS A bstract: This paper conducts an analysis of digital marketing communication tools, exploring the diverse array of platforms and strategies employed by businesses to engage with their target audiences in the digital landscape. The study delves into the evolving dynamics of digital marketing, investigating the role of tools such as social media, email marketing, search engine optimization (SEO), and content marketing. The research examines the effectiveness and impact of these communication tools in reaching and resonating with consumers in an increasingly interconnected world. Special attention is given to the nuances of each tool, considering factors such as audience segmentation, personalization, and the real-time nature of digital interactions. Keywords: Digital marketing, communication tools, social media, email marketing, search engine optimization (seo), content marketing, audience segmentation, marketing strategies, consumer engagement, data privacy, data security, innovation, artificial intelligence, business strategies 113

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