Abstract: This paper develops a method for the time-dependent reliability analysis of deteriorating structures using phase-type (PH) distributions. The deteriorating model consists of two aspects: the ...
Mesh TensorFlow (mtf) is a language for distributed deep learning, capable of specifying a broad class of distributed tensor computations. The purpose of Mesh TensorFlow is to formalize and implement ...
Retinal vessels are the only deep micro vessels that can be observed in human body, the accurate identification of which has great significance on the diagnosis of hypertension, diabetes and other ...
Replicability takes on special meaning when researching phenomena that are embedded in space and time, including phenomena distributed on the surface and near surface of the Earth. Two principles, ...
Vapor-phase infiltration (VPI) has emerged as a scalable process for transforming polymer products into a variety of organic–inorganic hybrid materials with potential applications to a number of ...
Techniques from artificial intelligence have been widely applied in optical communication and networks, evolving from early machine learning (ML) to the recent deep learning (DL). This paper focuses ...
This repository is the code release corresponding to an article introducing graph neural networks (GNNs) with feature-wise linear modulation (Brockschmidt, 2019). In the paper, a number of GNN ...
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