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http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/6817| Назва: | Методика навчання розробки доповненої реальності для Web із інтегрованими моделями машинного навчання |
| Автори: | Фокi, Михайло Володимирович |
| Ключові слова: | WebAR доповнена реальність машинне навчання MindAR Tensorflow Three.js Teachable Machine |
| Дата публікації: | 25-лис-2022 |
| Бібліографічний опис: | Фокi М. В. Методика навчання розробки доповненої реальності для Web із інтегрованими моделями машинного навчання : кваліфікаційна робота студента групи Ім-17, ступінь вищої освіти «магістр» спеціальності 014.09 Середня освіта (Інформатика) / Фокі Михайло Володимирович ; [науковий керівник : Семеріков Сергій Олексійович] ; Міністерство освіти і науки України, Криворізький державний педагогічний університет, фізико-математичний факультет, кафедра інформатики та прикладної математики. - Кривий Ріг, 2022. - 96 с. |
| Короткий огляд (реферат): | Об’єкт дослідження – процес навчання розробки імерсивних освітніх ресурсів. Предмет дослідження – методика навчання розробки WebAR додатків із інтегрованими моделями машинного навчання. Мета дослідження – розробити окремі елементи методики навчання розробки доповненої реальності для Web із інтегрованими моделями машинного навчання. Завдання дослідження: 1. Виконати бібліометричний аналіз джерел із освітніх застосувань WebAR. 2. Дібрати засоби розробки доповненої реальності для Web. 3. Розробити та апробувати методику розробки WebAR додатків для відстеження обличчя. 4. Розробити та апробувати методику інтеграції моделей машинного навчання у WebAR додатки. Методи дослідження: аналіз джерел, методичне проєктування, методи інженерії програмного забезпечення. Практичне значення результатів дослідження полягає у розробці окремих елементів методики навчання розробки доповненої реальності для Web із інтегрованими моделями машинного навчання. |
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| URI (Уніфікований ідентифікатор ресурсу): | http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/6817 |
| Розташовується у зібраннях: | Кафедра інформатики та прикладної математики (магістерські) |
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| diplofok.pdf | Кваліфікаційна робота магістра | 4.16 MB | Adobe PDF | Переглянути/Відкрити |
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