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Titlebook: Advances in Data Science and Artificial Intelligence; ICDSAI 2022, IIT Pat Rajiv Misra,Nishtha Kesswani,T. N. Singh Conference proceedings

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Shin Inoue,Genyo Ogawa,Taka-Aki Matsuyamamentary fusion. This deep learning model learns the essential features to predict exact and robust salient objects. The result analysis is performed extensively and evaluated across the four benchmark RGBD datasets. The experimental results show better performance than twelve closely related state-o
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發(fā)表于 2025-3-23 23:31:20 | 只看該作者
https://doi.org/10.1007/978-981-10-4463-2er, we determined the probability of on-time delivery by each supplier and predicted the expected delivery date for every order using ANN models, and evaluated the performance of regression and classification models.
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發(fā)表于 2025-3-24 04:22:42 | 只看該作者
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Catheter ablation of atrial fibrillation, correct path while constantly informing them about their surroundings. For the proposed system, SIFT is used as a feature descriptor. Feature reduction is carried out using principal component analysis on seven clusters which were created using a k-means clustering algorithm. The system used four c
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發(fā)表于 2025-3-24 11:56:01 | 只看該作者
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發(fā)表于 2025-3-24 15:05:12 | 只看該作者
Catheter Ablation of Cardiac Arrhythmiasave used various machine learning techniques with a voting mechanism for selecting the best features. Furthermore, dashboard also has the most popular machine learning algorithms, using which we can check the performance of selected best features.
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發(fā)表于 2025-3-24 19:27:51 | 只看該作者
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