… IoT-based healthcare and fog computing framework to identify … , fog computing is applied
to process real-time data from a … the concept of fog computing for smart cities. The proposed …

… In addition, enhanced learning and convolutional neural networks, which can be used to
account for the multimodality of data in real-time applications, are integrated into IoT devices. …

… sometimes requires real-time processing of dramatic data at … in hospital also deal with
data from patients at the edge of … , smart manufacturing, autonomous driving, smart city, smart …

… computing platform with an edge computing platform in the … First, we collect real-time data
based on the IoT system, after … the smart transportation, smart energy, smart healthcare, and …

… real-time analysis and responses, this paper proposes to use the concept of secured Mobile
Edge Computing (… its applications in almost all spheres of a smart city ecosystem. One such …

… Smart Cities: It aims to formulate smarter home via reliable sensors, … With edge computing
every application would have … edge computing makes it incredibly versatile for health care …

… One indispensable application is pervasive healthcare in the … for medical analysis lead to
energy dissipation. This article … Ideally, real-time healthcare can be achieved by deploying …

… transportation systems, cognitive assistance, health and … Edge computing support for smart
cities and IoT applications were … Moving to edge computing did not help in reducing user data …

Sensors | Free Full-Text | Federated Compressed Learning Edge Computing Framework with
Ensuring Data Privacy for PM2.5 Prediction in Smart City Sensing Applications Next Article …

… system based on IoT devices in real-time. Our research … from different resources such as
e-Healthcare, smart city, etc. … for big data analytics in smart cities which is hierarchical, scalable, …