Cancer prediction in the early stage is a topic of major interest in medicine since it allows
accurate and efficient actions for successful medical treatments of cancer. Mostly cancer …

Deep learning (DL), as one of the most active machine learning research fields, has
achieved great success in numerous scientific and technological disciplines, including …

Nowadays, political parties have widely adopted social media for their party promotions and
election campaigns. During the election, Twitter and other social media platforms are used …

This article investigates cybersecurity (and risk) in the context of 'technological
singularity'from artificial intelligence. The investigation constructs multiple risk forecasts that …

The Internet of Things (IoT) is envisioned as a ubiquitous computing infrastructure in which
everything becomes connected, enabling gigantic information exchange among Things and …

Background: Fast-moving consumer goods (FMCG) supply chains are experiencing various
challenges due to the interactions between consumers and decision-makers during physical …

Deep learning (DL) is a numerical method that approximates functions. Recently, its use has
become attractive for the simulation and inversion of multiple problems in computational …

Recently, the rapid transmission of Coronavirus 2019 (COVID-19) is causing a significant
health crisis worldwide. The World Health Organization (WHO) issued several guidelines for …

Starting from an analysis of frequently employed definitions of big data, it will be argued that,
to overcome the intrinsic weaknesses of big data, it is more appropriate to define the object …

In recent times, security in cloud computing has become a significant part in healthcare
services specifically in medical data storage and disease prediction. A large volume of data …