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Machine Learning-Assisted Anomaly Detection in Maritime Navigation Using AIS Data

Machine Learning-Assisted Anomaly Detection in Maritime Navigation using AIS Data

Abstract The automatic identification system (AIS) reports vessels’ static and dynamic infonnation, which are essential for maritime traffic situation awareness. However, AIS transponders can be switched off to hide suspicious

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AI Agent in Software-Defined Network: Agent-Based Network Service Prediction and Wireless Resource Scheduling Optimization

AI Agent in Software-Defined Network: Agent-Based Network Service Prediction and Wireless Resource Scheduling Optimization

Abstract With the development of a Software-defined Network (SDN), there will be a large number of devices to access the network, which may cause an incalculable burden to the communication

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Predicting the Assisted Living Care Needs Using Machine Learning and Health State Survey Data

Predicting the Assisted Living Care Needs Using Machine Learning and Health State Survey Data

Abstract Effective pain management can significantly improve the quality of life and outcomes for various types of patients(e.g. elderly, adult, young) and often requires assisted living for a significant number

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Human microbiome aging clocks based on deep learning and tandem of permutation feature importance and accumulated local effects

Human micro-biome aging clocks based on deep learning and tandem of permutation feature importance and accumulated local effects

Abstract The human gut micro-biome is a complex ecosystem that both affects and is affected by its host status. Previous analyses of gut microflora revealed associations between specific microbes and

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