… infrastructures, such as smart healthcare. Many of the IoMT devices in … smart healthcare
applications rely on distributed control optimization, artificial intelligence (AI) and deep learning (…

… While smart cities are designed to increase productivity and … machine learning applications
in smart cities are evaluated. … city can be defined as a combination of reliable infrastructure, …

… part of healthcare infrastructure: it represents people, healthcare … The integration of (smart)
technologies in healthcare has … artificial intelligence–based progress, machine learning, deep …

… for smart healthcare information infrastructure, a new network element iGW (industry gateway)
is defined, and the smart healthcare … Furthermore, a multi-agent reinforcement learning-…

… The development of smart healthcare services is now receiving serious attention from …
healthcare to control smart technologies in use. Secure interoperability of healthcare infrastructure …

… city architecture and an extensive analysis of attacks and countermeasures on smart
healthcare infrastructure. In addition to this, a tabular representation of the recent work done on …

… PISIoT is a smart healthcare platform that uses IoT-based devices and machine learning …
The wearable devices in the IoT provide a high-tech infrastructure that enables communication …

… intelligence (eg, that of humans and other life forms), AI aims to produce “intelligent agents”
using machine learning … smart hospital infrastructure, echoing recent findings by Isikdag [59]. …

… is very useful in patient monitoring application of healthcare. In this work, we propose a fog
… the latency in healthcare. Here, we use a random forest (RF) machine learning approach for …

… Smart healthcare was born out of the concept of “Smart Planet” proposed by IBM (Armonk,
NY, USA) in 2009. Simply put, Smart Planet is an intelligent infrastructure … as machine learning …