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Rapid developments in processors and radio technology have led to the emergence of small sensor nodes capable of communicating in wireless sensor networks (WSNs). Nodes in WSN transmit data using multi-hop routing and based on cooperation with each other. This collaboration has made these types...
In this paper, we propose an effective neural network algorithm to perform singular value decomposition (SVD) of a cross-correlation matrix between two data streams. Different from traditional algorithms, the newly proposed algorithm can extract not only the principal singular vectors but also...
Recently, multi-scale feature fusion has been considered as one of the most important issues in designing convolutional neural networks (CNNs). However, most existing methods directly add the corresponding layers together without considering the semantic gaps between them, which may lead to...
Detecting temporal actions in long and untrimmed videos is a challenging and important field in computer vision. Generating high-quality proposals is a key step in temporal action detection. A high-quality proposal usually contains two main characteristics. One is the temporal overlaps between...
Motivated by the increasing complexity and operational productivity of industrial processes, the need for efficient modeling schemes for industrial systems is highly demanded. This study presents a new simulator model for a real winding process based on a combination of Multi-gene Genetic...
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