this paper presents an algorithm for computingthe workspace of the hybrid serial-parallel manipulator. In this method, the inverse kinematics problem and interval analysis are applied to determine the constant-orient...
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Withthe rapid advancement of artificial intelligence, chips have become increasingly important. the emerging RISC-V instruction set gradually provides powerful computing support for this field. In this context, along...
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this research work focuses on conceptualizing and modeling smart grid infrastructure. the project's main objective is to develop a smart grid infrastructure to improve energy management in industrial processes. Re...
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Network security is an important research direction in today's times. Neural connection-level clipping, taking specific parameters as objects or clear network connections, can make network clipping more refined, i...
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Withthe development of smart grids, power data presents characteristics of massive volume, high speed, and high heterogeneity, posing higher requirements for data processing and transmission capabilities. the innovat...
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Human motion prediction is an essential problem for many applications in machine intelligence which needs forecasting future body poses given observed pose sequence. Many approaches to this problem tend to look at ges...
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Human motion prediction is a challenging task that aims to predict future human poses based on an observed historical pose sequence. Previous approaches typically use an encoder-decoder model to extract spatiotemporal...
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this paper introduces Ant Colony Optimization (ACO) algorithms implemented using CUDA technology for parallelization, inspired by the intelligent behavior of ants in nature. the goal is to demonstrate their efficiency...
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this research paper offers a novel approach to detect rear-end collisions and increase the acceleration of the victim car to possibly avoid or minimize the impact of the collision. A Deep Q-Learning model is utilized ...
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作者:
Zhang, ChenRen, HongruMa, HuiZhou, QiSchool of Automation
Guangdong University of Technology Guangdong-Hong Kong Joint Laboratory for Intelligent Decision and Cooperative Control Guangdong Provincial Key Laboratory for Intelligent Decision and Cooperative Control Guangzhou510006 China School of Mathematics and Statistics
Guangdong University of Technology Guangzhou510006 China
this paper designs event-triggered switched observers for the networked distributed multi-agent systems based on the cloud computing systems. Firstly, a novel cloud computing system architecture is designed, in which ...
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