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Titlebook: Artificial Intelligence and Robotics; Huimin Lu Book 2021 Springer Nature Switzerland AG 2021 Computational Intelligence.Intelligent Syste

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樓主: BRISK
41#
發(fā)表于 2025-3-28 14:35:19 | 只看該作者
An Automatic Evaluation Method for Modal Logic Combination Formula,ce rules of compound formulas in the world hinders its application in practical systems.This paper presents an automatic evaluation algorithm of modal logic compound formula based on Haskell functional programming to solve the problem of evaluating modal logic compound formula in the possible world.
42#
發(fā)表于 2025-3-28 19:59:57 | 只看該作者
Research on CS-Based Channel Estimation Algorithm for UWB Communications,nel reconstruction based on the sparsity. Based on the subspace tracking sparse reconstruction algorithm, an adaptive sparsity subspace tracking (ASSP) algorithm is proposed. The algorithm obtains sparsity according to the principle of minimum residua, accurately estimates the ultra-wideband channel
43#
發(fā)表于 2025-3-29 00:52:12 | 只看該作者
A New Unambiguous Acquisition Algorithm for BOC(n, n) Signals,s paper proposes a new fuzzy-free capture algorithm for BOC(n, n) signals. Divide the local BOC signal into two branch signals. Then, correlating the tributary signal with the received BOC signal, and the correlation function is then shifted by a quarter and three quarters of the chip, respectively,
44#
發(fā)表于 2025-3-29 05:10:37 | 只看該作者
45#
發(fā)表于 2025-3-29 10:32:22 | 只看該作者
46#
發(fā)表于 2025-3-29 12:22:37 | 只看該作者
47#
發(fā)表于 2025-3-29 15:53:58 | 只看該作者
48#
發(fā)表于 2025-3-29 20:25:54 | 只看該作者
49#
發(fā)表于 2025-3-30 02:22:05 | 只看該作者
Track Related Bursty Topics in Weibo,tric and the related bursty topics can be tracked. The experimental results show that the method can effectively segment the time series of Weibo topics, and realize the discovery and tracking of related topics in Weibo.
50#
發(fā)表于 2025-3-30 07:29:12 | 只看該作者
Terrain Classification Algorithm for Lunar Rover Based on Visual Convolutional Neural Network,better path, avoiding the unnecessary trouble caused by the delay of the land-month communication. The overall accuracy of our classification is 80%, and some of them have higher precision. It is expected that the classification results will help the decision of path planning.
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