Showing 1,561 - 1,580 results of 1,747 for search 'Machine learning education model', query time: 0.19s Refine Results
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    From Junk to Genius: Robotic Arms and AI Crafting Creative Designs from Scraps by Jiaqi Liu, Xiang Chen, Shengliang Yu

    Published 2024-12-01
    “…The workflow combined computer vision and machine learning, utilizing the YOLOv5 model, which achieved a classification accuracy exceeding 83% for the polygon, rectangle, and circle categories, demonstrating a superior recognition performance. …”
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    Practical exploration of English translation activity courses in universities under the background of artificial intelligence by Jiexia Dai

    Published 2025-12-01
    “…Through comparative analysis of the improvement of the translation ability of the two groups of students, the practical value and feasibility of AI technology in translation teaching is evaluated to provide reference and guidance for future translation education. This paper used the neural network machine translation model in artificial intelligence to solve the practical problems in implementing of college English translation activities. …”
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    Innovations in Artificial Intelligence-Driven Breast Cancer Survival Prediction: A Narrative Review by Mehwish Mooghal, Saad Nasir, Aiman Arif, Wajiha Khan, Yasmin Abdul Rashid, Lubna M Vohra

    Published 2024-09-01
    “…This narrative review explores the burgeoning field of Artificial Intelligence (AI)-driven Breast Cancer (BC) survival prediction, emphasizing the transformative impact on patient care. From machine learning to deep neural networks, diverse models demonstrate the potential to refine prognosis accuracy and tailor treatment strategies. …”
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    IDL-LTSOJ: Research and implementation of an intelligent online judge system utilizing DNN for defect localization by Lihua Song, Ying Han, Yufei Guo, Chenying Cai

    Published 2025-06-01
    “…The experimental results demonstrate that the Deep-FGDL model improves the accuracy by 35.9% in the Top-20 rank compared to traditional machine learning benchmark methods for fine-grained defect localization tasks. …”
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    Advances in Amazigh Language Technologies: A Comprehensive Survey Across Processing Domains by Oussama Akallouch, Mohammed Akallouch, Khalid Fardousse

    Published 2025-07-01
    “…This survey examines technological advances over the past decade across four key domains: natural language processing, speech recognition, optical character recognition, and machine translation. We analyze the evolution from rule-based systems to advanced neural models, demonstrating how researchers have addressed resource constraints through innovative approaches that blend linguistic knowledge with machine learning. …”
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    Source Code Error Understanding Using BERT for Multi-Label Classification by Md Faizul Ibne Amin, Yutaka Watanobe, Md Mostafizer Rahman, Atsushi Shirafuji

    Published 2025-01-01
    “…Precision, Recall, Hamming Loss, and ROC-AUC metrics further evaluate the effectiveness of our models. Additionally, we employed several combinations of large language models (CodeT5, CodeBERT) with machine learning classifiers (Decision Tree, Random Forest, Ensemble Learning, ML-KNN), demonstrating the superiority of our proposed approach. …”
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