Data fusion in cyber-physical-social systems: State-of-the-art and perspectives
Abstract Cyber-Physical-Social systems (CPSSs) are the extension of Cyber-Physical
systems (CPS), which seamlessly integrate cyber space, physical space and social space …
systems (CPS), which seamlessly integrate cyber space, physical space and social space …
A tensor-network-based big data fusion framework for cyber–physical–social systems (CPSS)
Big data has been continuously generated from the rapidly developing of cloud/fog/edge
computing, Internet of Things (IoT) and 5G technology. This big data not only brings great …
computing, Internet of Things (IoT) and 5G technology. This big data not only brings great …
A distributed tensor-train decomposition method for cyber-physical-social services
C yber-P hysical-S ocial S ystems (CPSS) integrating the cyber, physical, and social worlds
is a key technology to provide proactive and personalized services for humans. In this paper …
is a key technology to provide proactive and personalized services for humans. In this paper …
Methodologies for cross-domain data fusion: An overview
Y Zheng - IEEE transactions on big data, 2015 - ieeexplore.ieee.org
Traditional data mining usually deals with data from a single domain. In the big data era, we
face a diversity of datasets from different sources in different domains. These datasets …
face a diversity of datasets from different sources in different domains. These datasets …
A survey of data fusion in smart city applications
The advancement of various research sectors such as Internet of Things (IoT), Machine
Learning, Data Mining, Big Data, and Communication Technology has shed some light in …
Learning, Data Mining, Big Data, and Communication Technology has shed some light in …
An incremental tensor-train decomposition for cyber-physical-social big data
Cyber-physical-social big data generated from ubiquitous devices and diverse spaces
generally are multi-source, heterogeneous, and deeply intertwined. To efficiently analyze …
generally are multi-source, heterogeneous, and deeply intertwined. To efficiently analyze …
Multimodal data fusion: an overview of methods, challenges, and prospects
In various disciplines, information about the same phenomenon can be acquired from
different types of detectors, at different conditions, in multiple experiments or subjects …
different types of detectors, at different conditions, in multiple experiments or subjects …
Tensor deep learning model for heterogeneous data fusion in Internet of Things
W Wang, M Zhang - IEEE Transactions on emerging topics in …, 2018 - ieeexplore.ieee.org
With the rapid evolvement of the Internet and data acquisition technology as well as the
continuous advancement of science and technology, the amount of data in many fields has …
continuous advancement of science and technology, the amount of data in many fields has …
On the definition of information fusion as a field of research
A more precise definition of the field of information fusion can be of benefit to researchers
within the field, who may use such a definition when motivating their own work and …
within the field, who may use such a definition when motivating their own work and …
Multisensor data fusion: A review of the state-of-the-art
There has been an ever-increasing interest in multi-disciplinary research on multisensor
data fusion technology, driven by its versatility and diverse areas of application. Therefore …
data fusion technology, driven by its versatility and diverse areas of application. Therefore …