So'ngi paytlarda veyvlet va ularning bir-birini to'ldiruvchi kuchli tomonlaridan foydalanish uchun chuqur o'rganishni birlashtirishga qiziqish ortib bormoqda. Konvolyutsion neyron tarmog'iga (CNN) asoslangan xususiyatlarni o'rganish usullari tasvirlarni tasniflash vazifalarida katta yutuqlarga erishdi. Biroq, o'ziga xos shovqin va boshqa ba'zi omillar konvolyutsion xususiyatlar statistikasining samaradorligini susaytirishi mumkin. Maqolada diskret veyvlet o’zgartirishga asoslangan veyvletli konvolyutsion neyron tarmoq (VKNT) modelini taklif qilingan.
24.04.2023 View more Download
In this paper described method of straight line detector on the contour image. Presented set and the described problems of detecting and tracking an object in a video stream, we can single out the main criteria for comparison.
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In this paper described method of straight line detector on the contour image. Presented the result of summing over all straight lines is a two-dimensional function depending on angle and distance. The resulting function does not carry information about the location of the segments on the line, it only says that it exists, therefore, in addition to the described operations, it will be necessary to implement the segment localization algorithm on the line.
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В данной научной статье рассматривается развитие каркасно-кинематического метода для формообразования слойно-структурированных поверхностей. Описывается применение этого метода для создания поверхностей с заданными параметрами микроструктуры и определением их функциональных свойств. В работе также представлены результаты экспериментов, проведенных на специальной установке, которые подтверждают эффективность предложенного метода. В целом, статья дает новый взгляд на проблему формообразования сложных поверхностей и может быть полезной для научных и практических работников, занимающихся созданием поверхностей с заданными свойствами.
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Ushbu maqolada Xopfild va Xemming Neyron to’rlarini algoritmlash va dasturini ishlab chiqildi. Bu masalani hal etish uchun Xopfild va Xemming neyron to’rlari yordamida tanib olishning bir necha usullari keltirib o’tilgan.
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Мазкур мақолада тиббий тасвирларни Коифлед вейвлетларида рақамли ишлаш алгоритми ишлаб чиқилди, ҳамда интерполяциялаш хатолигини баҳолаш натижалари келтирилди. Хатоликни баҳолашда тиббий тасвирларни Коифлет вейвлетларининг абсолют хатолиги дастур натижасига асосан келтирилди. Коиффлет вейвлети Добеши вейвлети асосида қурилган булиб у ёқолиб кетиш маменларини ҳам лойихалайди ва тиббий тасвирга нисбатан ёрқинликка эришилди.
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This article highlights the challenges faced by the transport and logistics industry and how Intellectualization Algorithms can help streamline operations, improve efficiency, and reduce costs, also examines the advantages and disadvantages of Intellectualization Algorithms and provides case studies to illustrate successful implementation in the industry
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Intelligent Transport Systems (ITS) have revolutionized the way we move and interact with our transportation networks. Leveraging cutting-edge technologies such as Internet of Things (IoT), sensors, and data analytics, ITS enable intelligent traffic management, predictive maintenance, and optimized routing, among other benefits. However, the increasing reliance on big data in ITS raises concerns about data security, as sensitive information such as traffic patterns, vehicle data, and user information need to be protected from cyber threats. To address this challenge, the development of a software module that analyzes and ensures the security of big data in ITS is crucial. In this article, the architecture of such a software module is analyzed based on a review of related works and best practices in software development and cybersecurity.
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This article is very important as an indicator of the development of mental systems in the field of transport. These models help analyze and collect data that is critical to the production and operation of transportation systems. Therefore, it is advisable to have models aimed at automating systems in the field of transport, optimizing and integrating system management.
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