Работы, цитирующие эту работу

Работ: 4

Работа: Machine learning and deep learning

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2. Tomato Pests and Diseases Identification Tool Based on Improved YOLOv5

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   ГлаваSmart Agriculture and AILecture notes in networks and systems2024Цитирований: 0

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3. RL-Cervix.Net: A Hybrid Lightweight Model Integrating Reinforcement Learning for Cervical Cell Classification

   Shakhnoza Muksimova, Sabina Umirzakova, Jushkin Baltayev +1

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4. Optimizing mechanical engineering curriculum design using AI and machine learning

   Akbar Abrorov, Alisher Saidov, Nafosat Meyliyeva +2

   СтатьяIndustrial Vision Systems and Defect DetectionAIP conference proceedings2025Цитирований: 0

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