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Next, a competitive network composed of 1-D Convolutional Neural Network (1-D CNN) and a bidirectional ... in the revised ISCX-2016-SlowDos flow-based dataset. Experimental results demonstrate that ...
The federal government may have partial answers on the purported causes of autism by this fall ... Kennedy sat down with CNN’s Kaitlan Collins on Thursday shortly after a White House event ...
Their study evaluated multiple machine learning classifiers and pre-trained CNN models, with their improved ... The research examined DL algorithms for the detection of autism spectrum disorder, ...
The goal of this research was to implement a multi-sensor–based fuzzy fusion algorithm to improve the robustness of any CNN-based object detection system. In this article, Section 2 presents the ...
Abstract: Vehicle and pedestrian detection are critical tasks in autonomous driving, and fast and accurate detection algorithms are of great significance for improving the safety and reliability of ...
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