2020

A Study on AI-FML Robotic Agent for Student Learning Behavior Ontology Construction

A Study on AI-FML Robotic Agent for Student Learning Behavior Ontology Construction

Abstract In this paper, we propose an AI-FML robotic agent for student learning behavior ontology construction which can be applied in English speaking and listening domain. The AI-FML robotic agent

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AI Inspired Intelligent ResourceManagement in Future Wireless Network

AI Inspired Intelligent Resource Management in Future Wireless Network

Abstract In order to improve network performance, including reducing computation delay, transmission delay and bandwidth consumption, edge computing and caching technologies are introduced to the fifth-generation wireless network (5G). However,

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AI-FML Agent for Robotic Game of Go and AIoT Real-World Co-Learning Applications

AI-FML Agent for Robotic Game of Go and AIoT Real-World Co-Learning Applications

Abstract In this paper, we propose an AI-FML agent for robotic game of Go and AIoT real-world co-learning applications. The fuzzy machine learning mechanisms are adopted in the proposed model,

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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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A Game AI Competition to foster Collaborative AIresearch and development

A Game AI Competition to foster Collaborative AI research and development

Abstract Game AI competitions are important to foster research and development on Game AI and AI in general. These competitions supply different challenging problems that can be translated into other

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