How to accurately predict unknown quality-of-service (QoS) data based on observed ones is
a hot yet thorny issue in Web service-related applications. Recently, a latent factor (LF) …

With the rapid development of services computing in the past decade, Quality-of-Service
(QoS)-aware selection of Web services has become a hot yet thorny issue. Conducting …

Deep-Learning-as-a-service (DLaaS) has received increasing attention due to its novelty as
a diagram for deploying deep learning techniques. However, DLaaS faces performance and …

Automatic Web-service selection is an important research topic in the domain of service
computing. During this process, reliable predictions for quality of service (QoS) based on …

Owing to the ever-growing popularity of mobile computing, a large number of services have
been developed for a variety of users. Considering this, recommending useful services to …

Nowadays, there are many Web services with similar functionality on the Internet. Users
consider Quality of Service (QoS) of the services to select the best service from among them …

Quality of services (QoS) is an important concern in Web service recommendation or
selection. Predicting QoS values of Web services based on their historical QoS records is an …

Phone tokenization followed by n-gram language modeling has consistently provided good
results for the task of language identification. In this paper, this technique is generalized by …

QoS-based Web service recommendation has recently gained much attention for providing
a promising way to help users find high-quality services. To facilitate such …

Cyber-physical systems (CPS) have received much attention from both academia and
industry. An increasing number of functions in CPS are provided in the way of services …