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Titlebook: Intelligence Computation and Applications; 14th International S Kangshun Li,Yong Liu Conference proceedings 2024 The Editor(s) (if applicab

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樓主: osteomalacia
21#
發(fā)表于 2025-3-25 04:27:26 | 只看該作者
Research on Satellite Navigation and Positioning Based on Laser Point Cloud Datane and characteristic points in the navigation path are acquired by image processing in machine vision. Satellite navigation and positioning based on laser point cloud data are completed. The simulation results show that the proposed method can effectively improve the positioning accuracy and operat
22#
發(fā)表于 2025-3-25 08:39:20 | 只看該作者
1865-0929 utation and Applications, ISICA?2023, held in Guangzhou, China, during November 18–19, 2023.?..The 82 full papers included in these proceedings were carefully reviewed and selected from 178 submissions. The papers presented in these two volumes are organized in the following topical sections:..Part
23#
發(fā)表于 2025-3-25 14:01:25 | 只看該作者
24#
發(fā)表于 2025-3-25 16:20:41 | 只看該作者
A New Feature Selection Algorithm Based on Adversarial Learning for Solving Classification Problemsvaluate the candidate solutions, aiming to reduce the computational cost. Experiments on 10 UCI datasets indicate that the proposed SSAPSO is able to select smaller subsets of features in most cases with high classification accuracy.
25#
發(fā)表于 2025-3-25 20:33:01 | 只看該作者
Conference proceedings 2024rs of evolutionary Intelligent Optimization Algorithms; Exploration of computer vision; Machine learning and its applications...Part II: ?Machine Learning and its applications; Big data analysis and Information security; Intelligent application of computer..
26#
發(fā)表于 2025-3-26 00:36:28 | 只看該作者
27#
發(fā)表于 2025-3-26 07:19:13 | 只看該作者
Visualization Analysis of Convolutional Neural Network Processese proposed method adds the random meaning perturbation to input image, then we can find the minimum deleting mask. From the experiment results, we can find that the visualization analysis results show the real train process of convolutional neural network.
28#
發(fā)表于 2025-3-26 11:20:31 | 只看該作者
29#
發(fā)表于 2025-3-26 15:25:02 | 只看該作者
30#
發(fā)表于 2025-3-26 19:03:53 | 只看該作者
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