the proceedings contain 321 papers. the topics discussed include: an intelligent human-agent interaction support system in medicine;dynamic privacy-enhanced federated learning algorithm based on gradients perturbation...
ISBN:
(纸本)9798350331684
the proceedings contain 321 papers. the topics discussed include: an intelligent human-agent interaction support system in medicine;dynamic privacy-enhanced federated learning algorithm based on gradients perturbation;mapping tokenomics arrangements to expand the digital nomad ecosystem;intrusion detection based on sampling and improved ova technique on imbalanced data;logic event graph enhanced narrative generation;information diffusion prediction via exploiting cascade relationship diversity;multi-modal medical image classification method combining graph convolution neural networks;an edge server co-deployment method via joint optimization of communication delay and load balancing in edge collaborative environment;a surface defect detection method based on information entropy;using rough sets to improve the high-dimensional data anomaly detection method based on extended isolation forest;a multi-granularity knowledge-enhanced sequential recommendation;research on coarse granularity data sample completion method for district heating system;and an agent-based system architecture for automated guided vehicles in cloud-edge computing environments.
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A cooperative two-stage migrating birds optimization (CTMBO) algorithm based on quasi-entropy is proposed to solve complex continuous numerical optimization problems. First, a two-stage cooperative mechanism including...
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Motivation is a key factor in improving the enthusiasm and work performance of crowdsourcing workers. It is important for crowdsourcing platforms to allocate tasks. In order to increase the enthusiasm of workers and t...
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Community detection based on information diffusion is a relatively niche direction. this paper proposes a social network community detection model based on the inner-community information diffusion simulation. the mod...
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Reference Image Segmentation (RIS) is a challenging task, swhich aims to match the foreground mask of segmented entities with natural language expressions. In order to solve the RIS problem, we propose two modules: Cr...
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the memory dirty page prediction technology can effectively predict whether a memory page will be modified (dirty) at the next moment, and is widely used in virtual machine migration, container migration and other fie...
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In dynamic distributed computing environment, due to the uncertainty of resource and computation execution time, how to effectively solve the scheduling problem of interdependent tasks consisting of complex computatio...
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In the era of big data, the continuous development and research of 5G, networks and new technology have promoted the application and implementation of data. As an important output factor of business, the amount of inf...
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