This study introduces TransConvNet, a hybrid model combining Transformer and Convolutional Neural Networks (CNNs) for detecting kidney abnormalities in CT images. The model leverages CNNs for local feature extraction ...
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In most real-world open environments, deploying reinforcement learning algorithms poses significant challenges. Since models trained through reinforcement learning are sensitive to environmental parameters, strategies...
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In this paper, we design a cooperative UAV maneuver decision-making task and use multi-agent reinforcement learning to solve it. In this task, two UAVs must learn cooperating with each other to defeat a stronger enemy...
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The research paper presents a tailored GoogLeNet architecture with a novel SEP activation function for image classification tasks in the electronic devices domain. The model incorporates a refined Inception module and...
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The main challenge for transparent antennas is to enhance the radiation efficiency and gain while maintaining a certain level of transparency. To facilitate the practical application of transparent antennas, the manuf...
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Based on the current demand for real-time detection and reading of the size and spatial distribution of the extracted beam by negative ion sources, this paper proposes a multi-channel weak current quasi synchronous me...
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With the development of computer vision technology and the development of navigation and obstacle avoidance algorithms, coupled with the serious shortage of guide dogs in today's society, this paper realizes the i...
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ISBN:
(纸本)9798400708305
With the development of computer vision technology and the development of navigation and obstacle avoidance algorithms, coupled with the serious shortage of guide dogs in today's society, this paper realizes the identification and obstacle avoidance of quadruped robot dogs in some terrains by combining quadruped robot dogs, computer vision detection and radar.
In this paper, the radiation pattern of a very low frequency (VLF) multi-feed linear antenna in a magnetoplasma exhibiting anisotropy is determined and discussed with the help of the semi-analytical method. By taking ...
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To address the issues of low efficiency and poor accuracy in plastic part surface defect detection models, this paper proposes an improved YOLOv7-based detection algorithm, YOLOv7-TBC. First, a T-shaped convolutional ...
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To study the influence of the shape and arrangement of the array in flexible pressure sensors on their force-sensitive characteristics, based on the piezoresistive characteristics of graphene, the COMSOL Multiphysics ...
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