Very intelligent compact sensors with low-power and inexpensive solutions have been
created because of the industrial revolution and subsequent advancements in electrical …

The technology of Wireless Sensor Networks (WSNs) has become most significant in
present day. WSNs are extensively used in applications like military, industry, health, smart …

Abstract Data warehouses exploit On-Line Analytical Processing (OLAP) to make rapid
answers for analytical queries. Huge amount of aggregated data within a data warehouse …

Machine learning algorithms used to detect attacks are limited by the fact that they cannot
incorporate the back-ground knowledge that an analyst has. This limits their suitability in …

Cloud is a multitenant architecture that allows the cloud users to share the resources via
servers and is used in various applications, including data classification. Data classification …

Motivated by the recent explosion of interest around the Internet of Things (IoT), this paper is
focused on the dynamics of its security. It is a fact that at present, there is a dearth of …

The use of probabilistic hesitant fuzzy elements (PHFEs) to represent the alliance status in
cooperative games can describe the player's participation levels and associated probability …

In cognitive radio networks, physical layer security is a promising secure wireless
communication solution against eavesdropping attacks. In this paper, we study the problems …

Reinforcement learning is one of the sub of machine learning. A machine learning agent
learns from the feedback of the try-and-error in order to predict their next step. Machine …

By increasing renewable resource penetration, the need for developing fast and reliable
market modeling approaches in the presence of these resources has gained greater …