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Titlebook: Intelligence of Things: Technologies and Applications; The Second Internati Nhu-Ngoc Dao,Tran Ngoc Thinh,Ngoc Thanh Nguyen Conference proce

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發(fā)表于 2025-3-23 12:59:55 | 只看該作者
Intelligence of Things: Technologies and ApplicationsThe Second Internati
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發(fā)表于 2025-3-23 14:19:29 | 只看該作者
Video Classification Based on?the?Behaviors of?Children in?Pre-school Through Surveillance Camerasbove problem. BCiPS consists of 4268 videos with lengths ranging from 3–6 seconds. We evaluate some machine learning and deep learning models on BCiPS. The CNN-LSTM model achieves the highest performance, over 75%, with four performance metrics: accuracy, recall, precision, and .. Additionally, we w
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發(fā)表于 2025-3-23 18:09:42 | 只看該作者
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發(fā)表于 2025-3-24 01:58:02 | 只看該作者
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發(fā)表于 2025-3-24 03:36:36 | 只看該作者
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發(fā)表于 2025-3-24 07:22:34 | 只看該作者
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發(fā)表于 2025-3-24 13:41:48 | 只看該作者
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發(fā)表于 2025-3-24 17:36:21 | 只看該作者
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發(fā)表于 2025-3-24 22:19:12 | 只看該作者
Classification of?Raisin Grains Based on?Ensemble Learning Techniques in?Machine Learningrength of ensemble learning algorithms in machine learning such as Bagging and Boosting. Our approach achieved 93.33% of accuracy and F1 score. This result is better than other models and those from [., .].
20#
發(fā)表于 2025-3-25 03:08:03 | 只看該作者
An Effective Deep Learning Model for?Detecting Plant Diseases Using a?Natural Dataset for?the?Agricuracy. Additionally, we integrate data augmentation methods to emphasize disease features and augment the number of training images. When evaluated on the PlantDoc dataset, our proposed method demonstrates superior accuracy compared to previous state-of-the-art models.
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