Fog Computing (FC) and Conditional Deep Neural Networks (CDDNs) with early exits are
two emerging paradigms which, up to now, are evolving in a standing-alone fashion …

Recommender systems offer several advantages to hospital data management units and
patients with special needs. These systems are more dependent on the extreme subtle …

The healthcare domain gets wide attention among the research community due to
incremental data growth, advanced diagnostic tools, medical imaging processes, and many …

The uses of Internet of Things (IoT) devices and sensors have been increasing day by day.
In order to provide storage and computational needs for time-sensitive applications low …

Abstract The World Wide Web is the largest database comprising information in various
forms from text to audio/video and in many other designs. However, most of the data …

Fog computing disseminates computing system which incorporates the cloud computing
model to fully support the vision of internet of things (IoT). In the course of the most recent …

Fog computing has emerged as a distributed computing structure that extends the cloud
platform model. This paper presents a literature review of Fog computing-based health care …

The recent introduction of the so-called Conditional Neural Networks (CDNNs) with multiple
early exits, executed atop virtualized multi-tier Fog platforms, makes feasible the real-time …

Recommender systems are a subclass of information filtering systems which is broadly used
to find the right products or services for the right consumers. In the era of 'Big Data' …

Machine learning techniques are popular tool adopted for medical diagnosis and one of the
core component of medical diagnostic system. The objective of machine learning techniques …