Diffusion models have recently proven successful in stochastic human motion prediction. Despite their excellent generative performance, they are difficult to predict in real-time because the multi-step sampling mechan...
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High-resolution remote sensing image segmentation presents challenges due to the complexity and diversity of ground objects, variations in scale, and the presence of small, hard-to-detect targets. Traditional methods ...
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Early screening of diabetes retinopathy(DR)plays an important role in preventing irreversible *** research has failed to fully explore effective DR lesion information in fundus ***,traditional attention schemes have n...
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Early screening of diabetes retinopathy(DR)plays an important role in preventing irreversible *** research has failed to fully explore effective DR lesion information in fundus ***,traditional attention schemes have not considered the impact of lesion type differences on grading,resulting in unreasonable extraction of important lesion ***,this paper proposes a DR diagnosis scheme that integrates a multi-level patch attention generator(MPAG)and a lesion localization module(LLM).Firstly,MPAGis used to predict patches of different sizes and generate a weighted attention map based on the prediction score and the types of lesions contained in the patches,fully considering the impact of lesion type differences on grading,solving the problem that the attention maps of lesions cannot be further refined and then adapted to the final DR diagnosis ***,the LLM generates a global attention map based on ***,the weighted attention map and global attention map are weighted with the fundus map to fully explore effective DR lesion information and increase the attention of the classification network to lesion *** paper demonstrates the effectiveness of the proposed method through extensive experiments on the public DDR dataset,obtaining an accuracy of 0.8064.
On the premise of ensuring route safety, an intelligent route planning algorithm based on multi-strategy particle swarm optimization is proposed with the lowest energy consumption as the goal. The energy consumption m...
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Containerization has emerged as a pivotal technology in cloud computing, offering enhanced flexibility and efficiency in deploying applications across diverse cloud platforms. This paper explores the role of container...
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The resonant magnetic perturbation(RMP)system is a powerful auxiliary system on *** the J-TEXT tokamak,a set of new in-vessel coils is designed to enhance the amplitude of the *** new coils are designed to be two-turn...
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The resonant magnetic perturbation(RMP)system is a powerful auxiliary system on *** the J-TEXT tokamak,a set of new in-vessel coils is designed to enhance the amplitude of the *** new coils are designed to be two-turn saddle *** two-turn saddle coils have been optimized in terms of their structure,support,and protection components to overcome the limitations of the narrow in-vessel space,resulting in a compact coil module that can be accommodated in the *** verify the feasibility of this design,an electromagnetic simulation is performed to investigate the electrical parameters and the generated field of the coils.A multi-field coupled simulation is performed to investigate the capacity of heat *** a result of these efforts,the new RMP coils have been successfully installed on the J-TEXT *** has significantly enhanced the RMP amplitude and been widely applied in experiments.
Most multi-Objective Evolutionary Algorithms (MOEAs) face significant challenges in many-objective optimization. MOEAs have random elements in the selection and crossover operators which endow them with global converg...
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This paper proposes a path planning method based on multi-agent theory aimed at solving the path planning problem of various mission types and complex mission coordination of UAVs. The planning process is designed wit...
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Predicting traffic flow is a common issue in analyzing time series data and is a key area where machine learning can be applied effectively. However, accurately predicting traffic flow is difficult due to the complex ...
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Advancements in multi-agent systems (MAS) have enabled swarm-based systems to perform decentralized decision-making and autonomous tasks. However, optimizing their performance while ensuring transparency and interpret...
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