At present, MIMO radar is more and more widely used in the field of radar imaging. With its unique multi transmit and multi receive system, after appropriate processing, the radar can be equivalent to a virtual array ...
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This paper presents a low-cost bit-serial spiking neural network architecture that employs a binary signed-digit (BSD) number system, which relies on the most significant digit-first (MSD-first) serial addition. A pip...
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With the increasing water shortage and climatic uncertainty, creative strategies for effective water management in agriculture are necessary. This research investigates the integration of Artificial Intelligence (AI),...
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Collision-free navigation is an important research direction for multi-robot systems, in which the two core problems are navigating to the target point and avoiding other robots. Many researchers use deep reinforcemen...
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This paper provides an overview of a robotic hand rehabilitation system designed to assist patients recovering from hand injuries and neurological conditions such as stroke. The system integrates advanced robotics wit...
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Aiming at the problems that 3D optical measurement is easy to be affected by peripheral noise, difficult to calculate relative height and low measurement accuracy, a multi-frequency asynchronous phase shift algorithm ...
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Generally, a large amount of training data is essential to train deep learning models for obtaining more accurate detection performance in the computer vision domain. However, collecting and annotating datasets will l...
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The electrical fire monitoring mode is mostly set to one-way mode, which can achieve the expected monitoring task, but lacks stability and reliability, and it is difficult to achieve coordination and positioning monit...
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The heart is indispensable for body. Diagnosis of heart disease must be complete and accurate. Heart disease is a dangerous disease. This disease is caused by many problems such as excessive stress, diabetes, high blo...
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To address challenges in 3D point cloud instance segmentation, we propose a novel network called multi-scale Feature Cross Perception Instance Segmentation Network (MFCPNet). MFCPNet incorporates two key enhancements ...
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