Oct 16, 2020 · We propose a novel and effective framework to extract both spatial and sequential features of service descriptions in the Web service ecosystem ...

Wang et al. [20] proposed a spatial and sequential combined method for Web service classification. They integrated the Graph Convolutional Network (GCN) with ...

Abstract: With the growing prosperity of the Web service ecosystem, high-quality service classification has become an essential requirement. Web service ...

This paper describes AWSC (Automatic Web Service Classification), an automatic classifier of Web service descriptions.

A Spatial and Sequential Combined Method for Web Service Classification ... Web service ecosystem, high-quality service classification has become an ...

A spatial and sequential combined method for web service classification. Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint ...

ST is based on highly multiplexed sequence analysis and uses barcodes to match the sequenced reads to their respective tissue locations. ST expression data ...

The method used combines text mining and machine learning techniques in order to classify web services. The average accuracy that was achieved using the ...

A spatial classification for management application are (1) spatial resolution, (2) temporal resolution, and (3) thematic resolution.

Dec 28, 2022 · We propose a method to classify and identify spatial targets based on a one-dimensional convolutional network using RCS sequence values ...