In this paper, a Finite State Machine (FSM) approach is applied to the design and implementation of a blend of Machine Learning (ML ... in its structure the rules driving the NNs. The parsed diagrams ...

Persistence diagrams are an increasingly useful shape descriptor from Topological Data Analysis. One of their more popular uses to date has been as features for machine learning tasks ... chemistry ...

These tasks can help us to optimize the process design ... the core components of the diagrams, such as pipes, symbols, lines and text, are detected and extracted using various image processing and ...

Abstract: Requirement's analysis and design is a ... employment of machine learning. In this paper, we propose a system, requirement engineering analysis & design (READ) to generate unified modeling ...

While a high-end designer might take months (or years) to design ... Machine Learning studio. The combination of Azure Machine Learning and PyTorch also provides an environment for accelerating and ...

We argue our diagram can reduce code development time, enhance team collaboration and eliminate redundant data. We hope our work will motivate research bridging database design, project management and ...