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Titlebook: Broadband Communications, Networks, and Systems; 10th EAI Internation Qingshan Li,Shengli Song,Honghao Gao Conference proceedings 2019 ICST

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樓主: 喜悅
21#
發(fā)表于 2025-3-25 06:28:05 | 只看該作者
22#
發(fā)表于 2025-3-25 10:19:59 | 只看該作者
Customer Relationship Managementassifier pool is constructed with considering diversity and complementary. Base classifiers with high inconsistent are combined using a dynamic adaptive fusion strategy. The weights of base classifiers are learned based on their prior probabilities and class-conditional probabilities. Finally, the e
23#
發(fā)表于 2025-3-25 14:43:01 | 只看該作者
Customer Relationship Managementarm degrees of freedom with and the gestures of watch. We compare the results of the four actions which are important in the later model with the Kinect observations. The errors in the space are less than 0.14?m. The second step is non-cooperative target localization model that based on the first st
24#
發(fā)表于 2025-3-25 18:22:34 | 只看該作者
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發(fā)表于 2025-3-25 22:52:02 | 只看該作者
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發(fā)表于 2025-3-26 01:42:47 | 只看該作者
27#
發(fā)表于 2025-3-26 07:08:15 | 只看該作者
Virtual Network Embedding Algorithm Based on Multi-objective Particle Swarm Optimization of Pareto E the evolutionary state. With this as feedback information, a dynamic adaptive particle velocity updating strategy is designed to achieve the goal of solving the approximate optimal multi-objective optimization mapping scheme. Simulation results show that the proposed algorithm has certain advantage
28#
發(fā)表于 2025-3-26 12:09:17 | 只看該作者
High-Resolution Image Reconstruction Array of Based on Low-Resolution Infrared Sensorriers. Finally we use those sub carriers in combined for one activity sample as all the sub carriers combined form up an activity so we shall use the combined signal in the form of power spectrum image as input for the neural network..We choose Alexnet for classification of our data. Before feeding
29#
發(fā)表于 2025-3-26 15:09:24 | 只看該作者
Analysis and Implementation of Multidimensional Data Visualization Methods in Large-Scale Power Inter mainly studies the data visualization algorithm and technology in large-scale power Internet of things. Specifically, the traditional Radviz algorithm is selected and improved. The improved radviz-t algorithm is designed and implemented, and the unknown information of data transmission is obtained
30#
發(fā)表于 2025-3-26 16:47:47 | 只看該作者
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