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Titlebook: Soft Computing: Theories and Applications; Proceedings of SoCTA Rajesh Kumar,Ajit Kumar Verma,Tanu Wadehra Conference proceedings 2024 The

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樓主: Levelheaded
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發(fā)表于 2025-3-28 17:18:11 | 只看該作者
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Multi-labelled Topic Classification of Research Articles Using Machine Learning,ccuracy, micro-precision, micro-recall, and micro-F1 score to compare these techniques. The results show that attention based models like robustly optimized bidirectional encoder representations from transformers model (RoBERTa) gives the best accuracy out of all the models.
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Analyzing the Growth Profile of Brain Tumor with Caputo Fractional Operator via Sumudu Transform,ute error of the proposed technique is also analyzed. The efficiency of the SADT is shown by solving three distinct examples and comparing the results with the collocation method, and the superiority of the proposed technique is established.
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發(fā)表于 2025-3-30 02:25:14 | 只看該作者
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發(fā)表于 2025-3-30 06:12:45 | 只看該作者
Conference proceedings 2024Soft Computing: Theories and Applications (SoCTA 2023), held at Indian Institute of Information Technology (IIIT) Una, Himachal Pradesh, India, during 21–23 December 2023. The book offers valuable insights into soft computing for teachers and researchers alike; the book inspires further research in this dynamic field..
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