Big data analytics for data-driven industry: a review of data sources, tools, challenges, solutions, and research directions
The study of big data analytics (BDA) methods for the data-driven industries is gaining
research attention and implementation in today's industrial activities, business intelligence …
research attention and implementation in today's industrial activities, business intelligence …
An evaluative study on IoT ecosystem for smart predictive maintenance (IoT-SPM) in manufacturing: Multiview requirements and data quality
With the recent advances of the Internet of Things (IoT), innovative techniques, and concepts
have emerged, such as digital twins and industrial 4.0. As one of the essential parts of a …
have emerged, such as digital twins and industrial 4.0. As one of the essential parts of a …
Evaluation feature selection with using machine learning for cyber-attack detection in smart grid
The Smart Grid is a modern power grid that relies on advanced technologies to provide
reliable and sustainable electricity. However, its integration with various communication …
reliable and sustainable electricity. However, its integration with various communication …
Big Data and the disillusioned employee: Inside the ethical Internet of Things
Past research and theory on a company's handling of big data has focused either on the
external stakeholder side or corporate ends for internal stakeholders. In this paper we …
external stakeholder side or corporate ends for internal stakeholders. In this paper we …
Methods for Assessing, predicting, and improving data veracity: A survey
F Assiri - ADCAIJ: Advances in Distributed Computing and …, 2020 - torrossa.com
Data is an essential part of smart cities, and data can play an important role in veracity;
estimation; decision making processes. Data generated through web applications and …
estimation; decision making processes. Data generated through web applications and …
Quality of measurement information in decision-making
This article introduces a general-purpose framework aimed at capturing the elusive concept
of quality of measurement information (MI), a critical issue for both researchers and …
of quality of measurement information (MI), a critical issue for both researchers and …
Foundations of data quality assurance for IoT-based smart applications
R Togneri, G Camponogara… - 2019 IEEE Latin …, 2019 - ieeexplore.ieee.org
Most current scientific and industrial efforts in IoT are geared towards building integrated
platforms to finally realize its potential in commercial scale applications. The IoT and Big …
platforms to finally realize its potential in commercial scale applications. The IoT and Big …
Federated Learning on 5G Edge for Industrial Internet of Things
Industry 4.0, leveraging the Internet of Things (IoT) and Artificial Intelligence (AI), is a key
enabler for many automated processes in modernized industrial applications. This paper …
enabler for many automated processes in modernized industrial applications. This paper …
[PDF][PDF] A Review on the Evaluation of Feature Selection Using Machine Learning for Cyber-Attack Detection in Smart Grid
AS JABER, YS HUSSEIN, MMAK AL-NAJJAR - 2024 - researchonline.ljmu.ac.uk
ABSTRACT The Smart Grid is a modern power grid that relies on advanced technologies to
provide reliable and sustainable electricity. However, its integration with various …
provide reliable and sustainable electricity. However, its integration with various …
An online quality monitoring tool for information acquisition and sharing in manufacturing: requirements and solutions for the steel industry
The purpose of this study was to develop an innovative online supervisor system to assist
the operators of an industrial manufacturing process in discovering new solutions for …
the operators of an industrial manufacturing process in discovering new solutions for …