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Titlebook: Artificial Intelligence and Robotics; 8th International Sy Huimin Lu,Jintong Cai Conference proceedings 2024 The Editor(s) (if applicable)

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樓主: GALL
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發(fā)表于 2025-3-27 00:37:36 | 只看該作者
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發(fā)表于 2025-3-27 01:14:14 | 只看該作者
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發(fā)表于 2025-3-27 08:39:43 | 只看該作者
,Single-Image 3D Human Pose and?Shape Estimation Enhanced by?Clothed 3D Human Reconstruction, estimation aims to estimate the 3D poses and body shapes of “naked” humans under clothes, while clothed 3D human reconstruction refers to reconstructing the surfaces of humans wearing clothes. These two topics are closely related, but researchers usually study them separately. In this paper, we enh
34#
發(fā)表于 2025-3-27 13:17:40 | 只看該作者
IoT Botnet Attacks Detection and Classification Based on Ensemble Learning,and detection has become more difficult. This paper proposes an IoT botnet attack detection model based on feature selection and ensemble learning. Specifically, the model first reduces the feature dimension of the data by selecting appropriate feature sets. Then, an optimized LightGBM classifier an
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發(fā)表于 2025-3-27 17:17:35 | 只看該作者
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發(fā)表于 2025-3-27 19:32:34 | 只看該作者
Teacher Classroom Behavior Detection Based on a Human Pose Estimation Algorithm,ding measures to help. Traditional evaluation methods rely on manual testing, which is time-consuming and lacks objectivity. This article suggests a new approach to analyze the behavior of teachers by using the human skeleton posture. This method first uses the popular human posture gesture estimati
37#
發(fā)表于 2025-3-27 22:28:39 | 只看該作者
38#
發(fā)表于 2025-3-28 05:52:21 | 只看該作者
,C2FC: Coarse-to-fine Contour-Based Method for?Interactive Medical Image Segmentation,ape error between the initial contour and the ground truth. The details of the contour are focused on too early, which can easily lead to unsatisfactory segmentation quality. To address this problem, we propose a coarse-to-fine contour-based method for interactive medical image segmentation. This me
39#
發(fā)表于 2025-3-28 07:29:48 | 只看該作者
DDTM: A Distance-Based Data Transformation Method for Time Series Classification,mproved by removing interference variables. DDTM is proposed, which investigates the changes in the distance between the category and the subsequence on time series to determine if the subsequence influences the determination of the category. The main idea consists of three steps. First, propose a w
40#
發(fā)表于 2025-3-28 11:47:39 | 只看該作者
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