Energy consumption analysis of Virtual Machine migration in cloud using hybrid swarm optimization (ABC–BA)

K Karthikeyan, R Sunder, K Shankar… - The Journal of …, 2020 - Springer
A cloud data center consumes more energy for computation and switching servers between
modes. Virtual Machine (VM) migration enhances the execution of cloud server farm in terms …

A taxonomy and archetypes of business analytics in smart manufacturing

J Wanner, C Wissuchek, G Welsch… - ACM SIGMIS Database …, 2023 - dl.acm.org
Fueled by increasing data availability and the rise of technological advances for data
processing and communication, business analytics is a key driver for smart manufacturing …

An adaptive evolving fuzzy technique for prognosis of dynamic systems

M Ahwiadi, W Wang - IEEE Transactions on Fuzzy Systems, 2021 - ieeexplore.ieee.org
The evolving fuzzy technique is a recent development in the soft-computing field that has
shown some promising results in applications such as control, classification, and short-term …

Online Self-Evolving Anomaly Detection in Cloud Computing Environments

H Wang, J Guo, X Ma, S Fu, Q Yang, Y Xu - arXiv preprint arXiv …, 2021 - arxiv.org
Modern cloud computing systems contain hundreds to thousands of computing and storage
servers. Such a scale, combined with ever-growing system complexity, is causing a key …

Faults prediction and monitoring of complex processes using an ensemble of machine learning regression models: application to the Tennessee Eastman Process

W REZGUI, N REZKI, S KERROUCHI - 2023 - researchsquare.com
Modern industrial installations are a source of big amount of data, these data serve as a
means of monitoring and control and can also be used for the prediction of the parameters …

[PDF][PDF] Digital Appendix and Research Data for “A Taxonomy and Archetypes of Business Analytics in Smart Manufacturing”

J Wanner, C Wissuchek, G Welsch, C Janiesch - Optimization - b2share.eudat.eu
Digital Appendix and Research Data for “A Taxonomy and Archetypes of Business Analytics in
Smart Manufacturing” Page 1 Digital Appendix and Research Data for “A Taxonomy and …

Artificial Intelligence for Human Decision-Makers: Systematization, Perception, and Adoption of Intelligent Decision Support Systems in Industry 4.0

JP Wanner - 2022 - opus.bibliothek.uni-wuerzburg.de
Innovative possibilities for data collection, networking, and evaluation are unleashing
previously untapped potential for industrial production. However, harnessing this potential …