At present, the market environment is increasingly complex and changing, and the traditional inventory management strategy is difficult to adapt to the changes in the supply chain. For this reason, firstly, this paper...
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multi-agent systems (MAS) have become increasingly used in addressing complex problems that require collaboration and coordination between multiple entities. In the context of infectious disease management, MAS can en...
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Existing MOOC review sentiment classification methods do not fully utilize the local context information associated with aspect, and they ignore the connection between local and global contexts, while resulting in mod...
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This paper presents a chatbot model designed to detect stress in users through simple yes-or-no questions. Utilizing a Support Vector Machine (SVM) algorithm, the model achieves high accuracy in identifying stress lev...
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Precise Point Positioning (PPP) has become a versatile and competitive technique for time and frequency transfer across various fields. However, PPP's long convergence time, caused by slow satellite geometry chang...
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Due to the presence of numerous infeasible regions in Constrained multi-objective optimization problems (CMOPs), existing algorithms struggle to identify the complete Pareto front (PF). A novel two-populations algorit...
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By analyzing the current development process of human-computer collaboration (HRC) and combining the realistic development needs of complex collaborative environments, an experimental paradigm for detecting the abnorm...
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By analyzing the current development process of human-computer collaboration (HRC) and combining the realistic development needs of complex collaborative environments, an experimental paradigm for detecting the abnormalities of the HRC system is constructed by taking collaborative assembly of mobile phone panels as a case study. Brain-computer Interaction (BCI) technique is employed to assess the similarities and differences between normal and abnormal signals, thereby addressing the issue of the inability to predict and model abnormalities in the work of human-computer collaborative assembly (HRCA). The results demonstrate that smaller perceptual differences result in significant similarities and differences between major electroencephalogram (EEG) components, such as N1, N2 and P3. This suggests that the design of the paradigm and experiment is reasonable and feasible. This paper also discusses the next part of the work, which is to generate a mapping model of thinking and intention by extracting multi-dimensional data features, transforming the process of human behaviour - neural response - data features into abnormalities - intention model system task, which will provide an important idea for the systems and robots to better understand and perceive human beings.
AI-driven threat detection has become a vital tool for security maintenance as cloud environments become more and more integrated into digital infrastructures. In order to identify and reduce risks in cloud-based syst...
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At the beginning of the millennium, scenarios typical of autonomic and self-organizing systems seemed to be better tackled with techniques designed for multi-agent systems, among them, Belief-Desire-Intention cognitiv...
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New feeder automation principles such as fast-acting multi-Agent and longitudinal difference protection rely on terminal-to-terminal horizontal peer-to-peer communication, while the current encryption and authenticati...
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