Application of MADM methods in Industry 4.0: A literature review
Industry 4.0 has received inordinate attention from the business as well as research
communities. Along with the development of Industry 4.0 applications and the diversity of …
communities. Along with the development of Industry 4.0 applications and the diversity of …
Deep learning-driven wireless communication for edge-cloud computing: opportunities and challenges
Future wireless communications are becoming increasingly complex with different radio
access technologies, transmission backhauls, and network slices, and they play an …
access technologies, transmission backhauls, and network slices, and they play an …
Toward computation offloading in edge computing: A survey
The explosive growth of massive data generation from Internet of Things in industrial,
agricultural and scientific communities has led to a rapid increase for data analytics in cloud …
agricultural and scientific communities has led to a rapid increase for data analytics in cloud …
Joint optimization of offloading utility and privacy for edge computing enabled IoT
Currently, edge computing (EC), emerging as a burgeoning paradigm, is powerful in
handling real-time resource provision for Internet of Things (IoT) applications. However, due …
handling real-time resource provision for Internet of Things (IoT) applications. However, due …
An IoT-based task scheduling optimization scheme considering the deadline and cost-aware scientific workflow for cloud computing
X Ma, H Gao, H Xu, M Bian - EURASIP Journal on Wireless …, 2019 - Springer
Large-scale applications of Internet of things (IoT), which require considerable computing
tasks and storage resources, are increasingly deployed in cloud environments. Compared …
tasks and storage resources, are increasingly deployed in cloud environments. Compared …
Trust-oriented IoT service placement for smart cities in edge computing
Smart city is gradually forming a large scope of Internet of Things (IoT) networks with
diffusely deployed IoT devices that produce quantities of services. Considering the large …
diffusely deployed IoT devices that produce quantities of services. Considering the large …
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 …
Cyber-attack detection in healthcare using cyber-physical system and machine learning techniques
Cyber-physical systems have been extensively utilized in healthcare domains to deliver high-
quality patient treatment in multifaceted clinical scenarios. The medical device'heterogeneity …
quality patient treatment in multifaceted clinical scenarios. The medical device'heterogeneity …
Traffic flow prediction over muti-sensor data correlation with graph convolution network
Accurate and real-time traffic flow prediction plays an important role in improving the traffic
planning capability of intelligent traffic systems. However, traffic flow prediction is a very …
planning capability of intelligent traffic systems. However, traffic flow prediction is a very …
Concurrent practical byzantine fault tolerance for integration of blockchain and supply chain
Currently, the integration of the supply chain and blockchain is promising, as blockchain
successfully eliminates the bullwhip effect in the supply chain. Generally, concurrent …
successfully eliminates the bullwhip effect in the supply chain. Generally, concurrent …