As multinationals embed tax technology into their TP functions, a new breed of systems – built on multi model databases – is ...
Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...
Abstract: The core matter of Model-Based Systems Engineering (MBSE) is a consistent modeling language that includes an abstract syntax called metamodel and a concrete syntax called user model. The ...
Abstract: Predictive Process Monitoring aims to predict the future information of ongoing process executions by leveraging machine and deep learning techniques. One of the tasks is known as remaining ...
The code and dataset for IJCAI 2022 paper "Plane Geometry Diagram Parsing". We propose the PGDPNet, the first end-to-end deep learning model for explicit geometry diagram parsing. And we construct a ...
State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), Department of Chemistry, College of Chemistry and Chemical ...
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