Preface: The OECD Learning Compass 2030 is a framework that aims to guide students in their future learning, establishing knowledge, skills, attitudes, and values that will be useful to them, …
OECD Learning Compass 2030 A SERIES OF CONCEPT NOTES Read More »
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 …
Diagnosing Rotating Machines With Weakly Supervised Data Using Deep Transfer Learning Read More »
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, …
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 …
Machine Learning Security: Threats, Countermeasures, and Evaluations Read More »
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 …
Abstract The practice of medicine is changing with the development of new Artificial Intelligence (AI) methods of machine learning. Coupled with rapid improvements in computer processing, these AI-based systems are …
The impact of artificial intelligence in medicine on the future role of the physician Read More »
Abstract Optimizing the hyper-parameters of a multi-layer perceptron (MLP) artificial neural network (ANN) is not a trivial task, and even today the trial-and-error approach is widely used. Many works have …
Extending MLP ANN hyper-parameters Optimization by using Genetic Algorithm Read More »
Abstract Feedforward neural network (FNN) is an information processing system that simulates human brain function to a certain extent by referring to the structure of a biological neural network and …
Abstract Local feature extraction is one of the most im-portant tasks to build robust video representation in humanaction recognition. Recent advances in computing visual features,especially deep-learned features, have achieved excellent …
Distributed Feature Extraction on Apache Spark for Human Action Recognition Read More »
Abstract With the explosive increase of big data, it is necessary to apply large-scale data processing systems to analyze Big Data. Arguably, Spark is state of the art in large-scale …
