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Cyber-physical-social systems: A state-of-the-art survey, challenges and opportunities
It is the overriding trend of the present-day world that traditional systems and mobile devices
are currently transforming into intelligent systems and smart devices. Against this backdrop …
are currently transforming into intelligent systems and smart devices. Against this backdrop …
Privacy enhancing technologies for solving the privacy-personalization paradox: Taxonomy and survey
Personal data are often collected and processed in a decentralized fashion, within different
contexts. For instance, with the emergence of distributed applications, several providers are …
contexts. For instance, with the emergence of distributed applications, several providers are …
A privacy preserving communication protocol for IoT applications in smart homes
The development of the Internet of Things has made extraordinary progress in recent years
in both academic and industrial fields. There are quite a few smart home systems (SHSs) …
in both academic and industrial fields. There are quite a few smart home systems (SHSs) …
2D federated learning for personalized human activity recognition in cyber-physical-social systems
The proliferation of the Internet of Things (IoT), wearable computing, and social media
technologies bring forward the realization of the so-called Cyber-Physical-Social Systems …
technologies bring forward the realization of the so-called Cyber-Physical-Social Systems …
Forecasting of forex time series data based on deep learning
This paper proposes a C-RNN forecasting method for Forex time series data based on deep-
Recurrent Neural Network (RNN) and deep Convolutional Neural Network (CNN), which …
Recurrent Neural Network (RNN) and deep Convolutional Neural Network (CNN), which …
Survey on data analysis in social media: A practical application aspect
Social media has more than three billion users sharing events, comments, and feelings
throughout the world. It serves as a critical information source with large volumes, high …
throughout the world. It serves as a critical information source with large volumes, high …
QTT-DLSTM: a cloud-edge-aided distributed LSTM for cyber–physical–social big data
Cyber–physical–social systems (CPSS), an emerging cross-disciplinary research area,
combines cyber–physical systems (CPS) with social networking for the purpose of providing …
combines cyber–physical systems (CPS) with social networking for the purpose of providing …
SUNet++: A deep network with channel attention for small-scale object segmentation on 3D medical images
L Zhang, K Zhang, H Pan - Tsinghua Science and Technology, 2023 - ieeexplore.ieee.org
As a deep learning network with an encoder-decoder architecture, UNet and its series of
improved versions have been widely used in medical image segmentation with great …
improved versions have been widely used in medical image segmentation with great …
Utility aware offloading for mobile-edge computing
Mobile-edge computing casts the computation-intensive and delay-sensitive applications of
mobile devices onto network edges. Task offloading incurs extra communication latency and …
mobile devices onto network edges. Task offloading incurs extra communication latency and …
A blockchain-based access control framework for cyber-physical-social system big data
L Tan, N Shi, C Yang, K Yu - IEEE Access, 2020 - ieeexplore.ieee.org
Cyber-Physical-Social System (CPSS) big data is specified as the global historical data
which is usually stored in cloud, the local real-time data which is usually stored in the fog …
which is usually stored in cloud, the local real-time data which is usually stored in the fog …