Machine learning techniques in emerging cloud computing integrated paradigms: A survey and taxonomy
Cloud computing offers Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and
Software as a Service (SaaS) to provide compute, network, and storage capabilities to the …
Software as a Service (SaaS) to provide compute, network, and storage capabilities to the …
Fog computing enabling industrial internet of things: State-of-the-art and research challenges
Industry is going through a transformation phase, enabling automation and data exchange
in manufacturing technologies and processes, and this transformation is called Industry 4.0 …
in manufacturing technologies and processes, and this transformation is called Industry 4.0 …
Robust collaborative filtering recommendation with user-item-trust records
The ever-increasing popularity of recommendation systems allows users to find appropriate
services without excessive effort. However, due to the unstable and complex network …
services without excessive effort. However, due to the unstable and complex network …
Link prediction in paper citation network to construct paper correlation graph
H Liu, H Kou, C Yan, L Qi - EURASIP Journal on Wireless …, 2019 - Springer
Nowadays, recommender system has become one of the main tools to search for users'
interested papers. Since one paper often contains only a part of keywords that a user is …
interested papers. Since one paper often contains only a part of keywords that a user is …
[HTML][HTML] Cost and makespan-aware workflow scheduling in hybrid clouds
Benefiting from rich resources and virtualization technologies, hybrid cloud has emerged as
a promising solution to processing large-scale scientific workflow applications for users in a …
a promising solution to processing large-scale scientific workflow applications for users in a …
Privacy-aware cross-platform service recommendation based on enhanced locality-sensitive hashing
Recommender systems are a promising way for users to quickly find the valuable
information that they are interested in from massive data. Concretely, by capturing the user's …
information that they are interested in from massive data. Concretely, by capturing the user's …
Multi-scale dense gate recurrent unit networks for bearing remaining useful life prediction
Internet of thing (IoT), with the rapid development, is the systematic combination of physical
process, information and communication technologies. Industry internet of thing (IIoT), as the …
process, information and communication technologies. Industry internet of thing (IIoT), as the …
A tensor-based multiattributes visual feature recognition method for industrial intelligence
Industrial Internet-of-Things (IIoT) has revolutionized almost every aspect of industrial
manufacturing through industrial intelligence by incorporating production equipment, mobile …
manufacturing through industrial intelligence by incorporating production equipment, mobile …
Multi-modality behavioral influence analysis for personalized recommendations in health social media environment
Recently, health social media have engaged more and more people to share their personal
feelings, opinions, and experience in the context of health informatics, which has drawn …
feelings, opinions, and experience in the context of health informatics, which has drawn …
Infrared small target detection via low-rank tensor completion with top-hat regularization
Infrared small target detection technology is one of the key technologies in the field of
computer vision. In recent years, several methods have been proposed for detecting small …
computer vision. In recent years, several methods have been proposed for detecting small …