In this work, we present our solution methodology for online selective graph queries based on the shortest path distance semantic, which finds various applications in practice.
The proposed design methodology for online social network software is based on the concept of a traditional method of software development design process.
This paper proposes a methodology for online voltage stability monitoring using artificial neural network (ANN) and a regression-based method of selecting features for training the ANN.
This paper presents a methodology for online estimation of brain activities with reduction in the effects of physiological noises in functional near-infrared spectroscopy signals.
The post-synthetic modification of the parent catalyst was achieved by surface organometallic chemistry approach and performed in the same flow micro-reactor, which was used for the catalytic studies, providing a methodology for online modification of parent catalysts.
The algorithm provides an accurate methodology for online or batch network event impact estimation that could potentially be implemented in traditional relational database management systems (SQL) or Big Data environments.
