A survey on blockchain for big data: Approaches, opportunities, and future directions

N Deepa, QV Pham, DC Nguyen… - Future Generation …, 2022 - Elsevier
Big data has generated strong interest in various scientific and engineering domains over
the last few years. Despite many advantages and applications, there are many challenges in …

Data-centric artificial intelligence: A survey

D Zha, ZP Bhat, KH Lai, F Yang, Z Jiang… - ACM Computing …, 2025 - dl.acm.org
Artificial Intelligence (AI) is making a profound impact in almost every domain. A vital enabler
of its great success is the availability of abundant and high-quality data for building machine …

Digital twin in the IoT context: A survey on technical features, scenarios, and architectural models

R Minerva, GM Lee, N Crespi - Proceedings of the IEEE, 2020 - ieeexplore.ieee.org
Digital twin (DT) is an emerging concept that is gaining attention in various industries. It
refers to the ability to clone a physical object (PO) into a software counterpart. The …

Literature review of Industry 4.0 and related technologies

E Oztemel, S Gursev - Journal of intelligent manufacturing, 2020 - Springer
Manufacturing industry profoundly impact economic and societal progress. As being a
commonly accepted term for research centers and universities, the Industry 4.0 initiative has …

Digital twin and big data towards smart manufacturing and industry 4.0: 360 degree comparison

Q Qi, F Tao - Ieee Access, 2018 - ieeexplore.ieee.org
With the advances in new-generation information technologies, especially big data and
digital twin, smart manufacturing is becoming the focus of global manufacturing …

Data-driven smart manufacturing

F Tao, Q Qi, A Liu, A Kusiak - Journal of Manufacturing Systems, 2018 - Elsevier
The advances in the internet technology, internet of things, cloud computing, big data, and
artificial intelligence have profoundly impacted manufacturing. The volume of data collected …

Big data analytics for manufacturing internet of things: opportunities, challenges and enabling technologies

HN Dai, H Wang, G Xu, J Wan… - Enterprise Information …, 2020 - Taylor & Francis
Data analytics in massive manufacturing data can extract huge business values while can
also result in research challenges due to the heterogeneous data types, enormous volume …

Big IoT data analytics: architecture, opportunities, and open research challenges

M Marjani, F Nasaruddin, A Gani, A Karim… - ieee …, 2017 - ieeexplore.ieee.org
Voluminous amounts of data have been produced, since the past decade as the
miniaturization of Internet of things (IoT) devices increases. However, such data are not …

A survey towards an integration of big data analytics to big insights for value-creation

MK Saggi, S Jain - Information Processing & Management, 2018 - Elsevier
Abstract Big Data Analytics (BDA) is increasingly becoming a trending practice that
generates an enormous amount of data and provides a new opportunity that is helpful in …

The convergence of digital twin, IoT, and machine learning: transforming data into action

MJ Kaur, VP Mishra, P Maheshwari - Digital twin technologies and smart …, 2020 - Springer
Abstract Digital twins, Internet of Things (IoT), block chains, and Artificial Intelligence (AI)
may redefine our imagination and future vision of globalization. Digital Twin will likely affect …