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Titlebook: Machine Learning and Intelligent Communications; 5th International Co Mingxiang Guan,Zhenyu Na Conference proceedings 2021 ICST Institute f

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樓主: 嚴厲
41#
發(fā)表于 2025-3-28 16:11:27 | 只看該作者
A Radar-Communication Integrated Signal of OFDM Based on Four-Phase Codeation integrated signal has got more attention, which can realize communication and radar detection using the same signal. However, the uncertainty of communication information such as transmitting the same information continuously can influence radar detection performance. In this paper, a radar-co
42#
發(fā)表于 2025-3-28 20:07:10 | 只看該作者
An Empirical Comparison of Implementation Efficiency of Iterative and Recursive Algorithms of Fast Ferative algorithm and recursive algorithm are two basic methods to implement Fast Fourier Transform on the computer. This paper uses Java, C#, C++, and Python to implement iterative algorithm and recursive algorithms of Fast Fourier Transform, and tests the runtime of these two algorithms on Windows
43#
發(fā)表于 2025-3-28 23:32:05 | 只看該作者
44#
發(fā)表于 2025-3-29 05:26:28 | 只看該作者
45#
發(fā)表于 2025-3-29 09:47:48 | 只看該作者
Attention-Based Bidirectional Long Short-Term Memory Neural Network for Short Answer ScoringIn this paper, we designed a novel neural network architecture which is attention-based bidirectional long short-term memory to implement the task of automatic short answer scoring. We evaluate our approach on the Kaggle Short Answer dataset (ASAP-SAS). Our experiment results indicate that our model
46#
發(fā)表于 2025-3-29 12:08:41 | 只看該作者
47#
發(fā)表于 2025-3-29 19:06:43 | 只看該作者
48#
發(fā)表于 2025-3-29 21:23:26 | 只看該作者
49#
發(fā)表于 2025-3-30 02:07:39 | 只看該作者
50#
發(fā)表于 2025-3-30 07:08:59 | 只看該作者
An Optimized SSD Target Detection Algorithm Based on K-Means Clusteringecificity for different data, this paper uses the k-means clustering method to optimize the default box setting method of the SSD network to make the default box more consistent with the data, enhancing the self-adaptive ability of SSD default box positioning regression, thereby improving detection
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