29 July 2020

Diagnosing Rotating Machines With Weakly Supervised Data Using Deep Transfer Learning

Diagnosing Rotating Machines With Weakly Supervised Data Using Deep Transfer Learning

Abstract Rotating machinery fault diagnosis problems have been well-addressed when sufficient supervised data of the tested machine are available using the latest data-driven methods. However, it is still challenging to

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Sustainable Curriculum Planning for Artificial Intelligence Education: A Self-determination Theory Perspective

Sustainable Curriculum Planning for Artificial Intelligence Education: A Self-determination Theory Perspective

Abstract The teaching of artificial intelligence (AI) topics in school curricula is an important global strategic initiative in educating the next generation. As AI technologies are new to K-12 schools,

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Machine Learning Security: Threats, Countermeasures, and Evaluations

Machine Learning Security: Threats, Countermeasures, and Evaluations

Abstract Machine learning has been pervasively used in a wide range of applications due to its technical breakthroughs in recent years. It has demonstrated significant success in dealing with various

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Teaching and learning with children: Impact of reciprocal peer learning with a social robot on children’s learning and emotive engagement

Teaching and learning with children: Impact of reciprocal peer learning with a social robot on children’s learning and emotive engagement

Abstract Pedagogical agents are typically designed to take on a single role: either as a tutor who guides and instructs the student or as a tutee that learns from the

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