Wearable 2.0: Enabling Human-Cloud Integration in Next Generation Healthcare Systems
By Min Chen, Yujun Ma, Yong Li, Di Wu, Yin Zhang, Chan-Hyun Youn. IEEE Communications Magazine, 2017
335 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/63d1dd923afa022435399e64a76c79485511fe7c
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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
In Computer Networks and Communications
In Computer Vision and Pattern Recognition
Citations in the corpus
- Motor Anomaly Detection for Unmanned Aerial Vehicles Using Reinforcement Learning (2018, methodology): “In future, we will consider implementing deep learning methods [6], [7], [11]–[14] to select the threshold temperature.”
- Smart Factory of Industry 4.0: Key Technologies, Application Case, and Challenges (2018, neutral): “Due to the improvements of cloud computing technology [38], real-time and reliable network techniques are required for data transmission, information sharing between”
- Disease Prediction by Machine Learning Over Big Data From Healthcare Communities (2017, background): “[5]–[7] proposed a healthcare system using smart clothing for sustainable health monitoring.”
- Enabling Technologies for the Internet of Health Things (2018, neutral): “[95].”
- Deep Feature Learning for Medical Image Analysis with Convolutional Autoencoder Neural Network (2017, background): “Therefore, intelligent healthcare is an important research direction to assist doctors in harnessing medical big data [1] [2].”