Fog computing in healthcare–a review and discussion
Fog computing is an architectural style in which network components between devices and
the cloud execute application-specific logic. We present the first review on fog computing …
the cloud execute application-specific logic. We present the first review on fog computing …
A survey on auction based approaches for resource allocation and pricing in emerging edge technologies
The advancements in sensing technologies, smart devices, wearable gadgets, and
communication paradigm enable the vision of the internet of things, smart city, virtual and …
communication paradigm enable the vision of the internet of things, smart city, virtual and …
A novel dimensionality reduction approach for ECG signal via convolutional denoising autoencoder with LSTM
E Dasan, I Panneerselvam - Biomedical Signal Processing and Control, 2021 - Elsevier
Typical IoT based e-health scenarios use resource constrained wearable device to facilitate
ubiquitous long-term monitoring for chronic conditions like cardiovascular disease (CVD) …
ubiquitous long-term monitoring for chronic conditions like cardiovascular disease (CVD) …
Low overhead architectures for OMP compressive sensing reconstruction algorithm
Orthogonal Matching Pursuit (OMP) is an important compressive sensing (CS) recovery and
sparsity inducing algorithm, which has potential in various emerging applications ranging …
sparsity inducing algorithm, which has potential in various emerging applications ranging …
Effective load balancing strategy (ELBS) for real-time fog computing environment using fuzzy and probabilistic neural networks
Fog computing (FC) is an extension of cloud computing, however, it utilizes the resources
close to the edge of the network. FC is a valuable choice to support real time applications …
close to the edge of the network. FC is a valuable choice to support real time applications …
Lapran: A scalable laplacian pyramid reconstructive adversarial network for flexible compressive sensing reconstruction
This paper addresses the single-image compressive sensing (CS) and reconstruction
problem. We propose a scalable Laplacian pyramid reconstructive adversarial network …
problem. We propose a scalable Laplacian pyramid reconstructive adversarial network …
Telemedicine Monitoring System Based on Fog/Edge Computing: A Survey
Telemedicine Monitoring (TM) integrates mobile communication technology and Internet of
Things (IoT) technology for health monitoring and data management. Amidst the escalating …
Things (IoT) technology for health monitoring and data management. Amidst the escalating …
Outlier detection for process monitoring in industrial cyber-physical systems
K Huang, H Wen, C Yang, W Gui… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The development of industrial cyber-physical system (ICPS) provides a tight connection
between the digital model and the industrial physical plant, which enables to use the data …
between the digital model and the industrial physical plant, which enables to use the data …
Real time end-to-end learning system for a high frame rate video compressive sensing network
(57) ABSTRACT A real time end-to-end learning system for a high frame rate video
compressive sensing network is described. The slow reconstruction speed of conventional …
compressive sensing network is described. The slow reconstruction speed of conventional …
A 232–1996-kS/s robust compressive sensing reconstruction engine for real-time physiological signals monitoring
Compressive sensing (CS) techniques enable new reduced-complexity designs for sensor
nodes and help reduce overall transmission power in wireless sensor network. However, for …
nodes and help reduce overall transmission power in wireless sensor network. However, for …