Predictive maintenance in the Industry 4.0: A systematic literature review

T Zonta, CA Da Costa, R da Rosa Righi… - Computers & Industrial …, 2020 - Elsevier
Industry 4.0 is collaborating directly for the technological revolution. Both machines and
managers are daily confronted with decision making involving a massive input of data and …

Big data analytics in weather forecasting: A systematic review

M Fathi, M Haghi Kashani, SM Jameii… - … Methods in Engineering, 2022 - Springer
Weather forecasting, as an important and indispensable procedure in people's daily lives,
evaluates the alteration happening in the current condition of the atmosphere. Big data …

Application of big data and machine learning in smart grid, and associated security concerns: A review

E Hossain, I Khan, F Un-Noor, SS Sikander… - Ieee …, 2019 - ieeexplore.ieee.org
This paper conducts a comprehensive study on the application of big data and machine
learning in the electrical power grid introduced through the emergence of the next …

Big data: From beginning to future

I Yaqoob, IAT Hashem, A Gani, S Mokhtar… - International Journal of …, 2016 - Elsevier
Big data is a potential research area receiving considerable attention from academia and IT
communities. In the digital world, the amounts of data generated and stored have expanded …

[HTML][HTML] Big data in agriculture: Between opportunity and solution

SA Osinga, D Paudel, SA Mouzakitis… - Agricultural …, 2022 - Elsevier
CONTEXT Big data applications in agriculture evolve fast, as more experience, applications,
good practices and computational power become available. Actual solutions to real-life …

Smart city ecosystem: Concept, sustainability, design principles, and technologies

S Rani, P Bhambri, A Kataria… - AI-centric smart city …, 2022 - taylorfrancis.com
The rapid evolution of smart cities is giving workable solutions to many challenges faced in
urban areas. Information and communication technology (ICT) is playing a very vital role in …

Big data supply chain analytics: ethical, privacy and security challenges posed to business, industries and society

NJ Ogbuke, YY Yusuf, K Dharma… - Production Planning & …, 2022 - Taylor & Francis
This study conducted a comprehensive review of big data supply chain analytics (BDSCA).
The paper explored the application of big data in supply chain management and its benefits …

Insights from big Data Analytics in supply chain management: an all-inclusive literature review using the SCOR model

S Chehbi-Gamoura, R Derrouiche… - … Planning & Control, 2020 - Taylor & Francis
When supply chain management (SCM) intersects with Big Data Analytics (BDA),
uncountable opportunities for research emerge. Unfortunately, how analytics can be applied …

More self-organization, more control—or even both? Inverse transparency as a digital leadership concept

M Gierlich-Joas, T Hess, R Neuburger - Business Research, 2020 - Springer
Digital innovations drive an organization's digital transformation. While numerous studies
focus on digital product and service innovation, digital process innovation and novel …

[HTML][HTML] Analysing spatiotemporal patterns of tourism in Europe at high-resolution with conventional and big data sources

FB e Silva, MAM Herrera, K Rosina, RR Barranco… - Tourism …, 2018 - Elsevier
Available statistics on tourism from official European sources are limited in terms of both the
spatial and temporal resolutions, curbing potential analyses and applications relevant for …