Growing remote health system allows continuous monitoring of patients' conditions outside medical facilities. However, the real-time smart-healthcare applications having latency limitations, must be solved efficiently. Fog ...

The purpose of this article is to see how machine learning (ML) algorithms and applications are used in the COVID-19 inquiry and for other purposes. The available traditional methods for COVID-19 international epidemic ...

Hierarchical Topic Modeling is the probabilistic approach for discovering latent topics distributed hierarchically among the documents. The distributed topics are represented with the respective topic terms. An unambiguous ...

High-Performance computing provides a new infrastructure for scientific calculation and its simulation. However, unbalanced load distribution among the processors causes a decreased performance in such computations, and ...

Edge computing is a new paradigm that reduces latency and saves bandwidth by deploying edge servers in different geographic locations. This technology plays a crucial role in the rapidly growing app market for IoT devices ...

ne of the key promoters of 5G deployment using millimetre waves is multi-hop self-backhauling. However, the rate allocation and path selection for these networks are challenging tasks. For this purpose, we consider a network ...

In this work, we propose a multi-tier architectural model to separate functionality and security concerns for distributed cyber-physical systems. On the line of distributed computing, such systems require the identification ...

Machine Translation (MT) has come a long way in recent years, but it still suffers from data scarcity issue due to lack of parallel corpora for low (or sometimes zero) resource languages. However, Transfer Learning (TL) ...

With the increasing population, events with large crowds also increased. It often leads to uncontrolled stampede situations, causing several deaths. Deployment of intelligent systems with the quick alert feature may reduce ...