A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, ...

David Quigley, Provost and Dean of Faculties The 20-credit Engineering Fundamentals Studio course in sophomore year will anchor the degree program as a year-long exploration of central engineering ...

Abstract: It is well known from linear systems theory that an integral control law is needed for asymptotic set-point regulation under parameter perturbations. The note presents a similar result fur a ...

To grasp the research hotspots and explore new research directions in them for recommender systems. This paper analyses the relevant ... database from 2010 to 2020 based on the knowledge graph. The ...

3. Graph Neural Networks GNNs have a broad range of uses in various domains due to the prevalence of graph-structured data, where the lack of an Euclidean structure makes it challenging to use DNNs in ...

In the decoding process, the classifier is one of the key factors, and the graph information of the EEG was ignored by most researchers. In this paper, a graph convolutional network (GCN) based on ...