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Titlebook: Image and Video Technology; PSIVT 2017 Internati Shin‘ichi Satoh Conference proceedings 2018 Springer International Publishing AG, part of

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51#
發(fā)表于 2025-3-30 10:50:29 | 只看該作者
Research on Optimization of Point Cloud Registration ICP Algorithme-dimensional data, point cloud data can be collected by simple ways, and it contains surface texture, surface color, and other types of features on the surface of the target object. Recently, in the field of cloud data processing, many new point cloud processing methods have been proposed on the ba
52#
發(fā)表于 2025-3-30 13:04:29 | 只看該作者
53#
發(fā)表于 2025-3-30 19:21:41 | 只看該作者
54#
發(fā)表于 2025-3-30 22:57:19 | 只看該作者
Extracting Algebraic Relations from Circuit Images Using Topology Breaking Down and Shrinkingents an approach for extracting algebraic relations from circuit images through producing a set of atomic topologies from the complex topology of a given circuit. In which, algebraic relations, in form of a set of equations involving voltage, current and resistance relations from atomic topologies t
55#
發(fā)表于 2025-3-31 00:59:33 | 只看該作者
56#
發(fā)表于 2025-3-31 06:58:26 | 只看該作者
57#
發(fā)表于 2025-3-31 09:18:09 | 只看該作者
Computerized Adaptive English Ability Assessment Based on Deep Learnings used for Model-GRU is generated by monte carlo simulation, as a data-driven method. Second, comparing with time consuming conventional methods, the proposed deep learning based methods can greatly reduce necessary time to evaluate ability after finishing training. Third, our model can notice the e
58#
發(fā)表于 2025-3-31 16:32:41 | 只看該作者
China-Finland EduCloud Platform Towards Innovative Educationhnology to advance innovative education. This paper specifies an intelligent Cloud-based platform for innovative education under the term of EduCloud. We give an overview and discuss the challenges facing future education, especially in the cases of China and Finland. We define innovative education
59#
發(fā)表于 2025-3-31 21:03:17 | 只看該作者
SPSE: A Smart Phone-Based Student Evaluationnalyzing those students’ data. However, traditional methods only pay attention to the analysis of static students’ data such as mid-term and final scores, and ignore the analysis of students’ daily behavior data. Data mining of students’ daily behavior data becomes a key step to avoid students’ fail
60#
發(fā)表于 2025-3-31 23:02:24 | 只看該作者
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