Big Data is still gaining attention as a fundamental building block of the Artificial Intelligence
and Machine Learning world. Therefore, a lot of effort has been pushed into Big Data …

In recent years, there has been an increase in the use of edge-cloud continuum solutions to
efficiently collect and analyze data generated by IoT devices. In this paper, we investigate to …

Inspired by human brain, the emerging analog‐type memristor employed in neuromorphic
computing systems has attracted tremendous interest. However, existing analog memristors …

The volume of industrial data of smart manufacturing is growing rapidly. Edge computing
has emerged as an advanced technique that provides scalable resources for Industrial …

The rapid spread of the Internet of Things (IoT), with billions of connected devices, has
generated huge amounts of data and asks for decentralized solutions for machine learning …

Since the advent of Bitcoin, the cryptocurrency landscape has seen the emergence of
several virtual currencies that have quickly established their presence in the global market …

Many industries and academia have devoted a lot of effort and money to creating and/or
using good extract-transform-load (ETL) software suitable for their data analysis purposes …

Data are often correlated in real-world datasets. Existing data privacy algorithms did not
consider data correlation an inherent property of datasets. This data correlation caused …

Clinical pathway is generally used as a tool for the implementation of evidence-based
medicine and clinical guidelines. The e-clinical pathway is helpful in clinical cases covering …

Huge amounts of digital data are continuously generated and collected from different
sources, such as sensors, cameras, in-vehicle infotainment, smart meters, mobile devices …