Deep neural networks (DNNs), which are extensions of artificial neural networks, can learn
higher levels of feature hierarchy established by lower level features by transforming the raw …

The purpose of smart city is to enhance the optimal utilization of scarce resources and
improve the resident's quality of live. The smart cities employed Internet of Things (IoT) to …

Stroke is enlisted as one of the leading causes of death and serious disability affecting
millions of human lives across the world with high possibilities of becoming an epidemic in …

The challenges of the conventional cloud computing paradigms motivated the emergence of
the next generation cloud computing architectures. The emerging cloud computing …

The Intelligent Transportation System (ITS) is said to revolutionize the travel experience by
making it safe, secure, and comfortable for the people. Although vehicles have been …

University electronic learning (e-learning) has witnessed phenomenal growth, especially in
2020, due to the COVID-19 pandemic. This type of education is significant because it …

Researchers are working towards automation of ontology construction to manage the ever-
growing data on the web. Currently, there is a shift from the use of machine learning …

Much has been said about the fusion of bio-inspired optimization algorithms and Deep
Learning models for several purposes: from the discovery of network topologies and …

Abstract Distributed Sensor Networks play a vital role in the day-to-day world of computing
applications, from the cloud to the Internet of Things (IoT). These computing applications …

Deep Learning (DL) is a type of machine learning used to model big data to extract complex
relationship as it has the advantage of automatic feature extraction. This paper presents a …