Now showing items 1-4 of 4
Mist Data: Leveraging Mist Computing for Secure and Scalable Architecture for Smart and Connected Health
(Elsevier B.V., 2018-10-22)
The smart health paradigms employ Internet-connected wearables for tele-monitoring, diagnosis providing inexpensive healthcare solutions. Mist computing reduces latency and increases throughput by processing data near the ...
DeepReco: Deep Learning Based Health Recommender System Using Collaborative Filtering
(MDPI Multidisciplinary Digital Publishing Institute, 2019-05-22)
In today's digital world healthcare is one core area of the medical domain. A healthcare system is required to analyze a large amount of patient data which helps to derive insights and assist the prediction of diseases. ...
Hybrid Mist-Cloud Systems for Large Scale Geospatial Big Data Analytics and Processing: Opportunities and Challenges
(Springer Heidelberg, 2019-01-08)
The cloud and fog computing paradigms are developing area for storing, processing, and analysis of geospatial big data. Latest trend is mist computing which boost fog and cloud concepts for computing process where edge ...
Geofog4health: A Fog-Based SDI Framework for Geospatial Health Big Data Analysis
(Springer Heidelberg, 2018-02-21)
Spatial Data Infrastructure (SDI) is an important framework for sharing geospatial big data using the web. Integration of SDI with cloud computing led to emergence of Cloud-SDI as a tool for transmission, processing and ...