Predictive analytics: a survey, trends, applications, opportunities' and challenges for smart city planning

C Yun, M Shun, U Junta, I Browndi - International Journal of …, 2022 - papers.ssrn.com
Predictive analysis is an advanced branch of data engineering which generally predicts
some occurrence or probability based on data. Predictive analytics uses data-mining …

A nonparametric EWMA control chart for monitoring mixed continuous and count data

L Xue, Q Wang, Z He, P Qiu - Quality Technology & Quantitative …, 2024 - Taylor & Francis
Conventional statistical process control tools monitor either continuous or count data but
rarely both simultaneously. While process data are becoming increasingly complex, there …

A deep learning framework for quality control process in the motor oil industry

M Heydari, A Alinezhad, B Vahdani - Engineering Applications of Artificial …, 2024 - Elsevier
Given the advancements in the modern world, using Multivariate-Multistage Quality Control
(MVMSQC) patterns in continuous production industries is deemed crucial and essential …

MINIMIZING TEMPERATURE DEVIATIONS IN RUBBER MIXING PROCESS BY USING ARTIFICIAL NEURAL NETWORKS

M Lukas, S Leineweber, B Reitz… - Rubber Chemistry …, 2024 - meridian.allenpress.com
Rubber mixing is a complex manufacturing process that poses challenges for process
control due to the high number of control variables, including mixing parameter settings …

Auto-Correlated Multivariate Quality Control for Electronic Products Manufacturing with Decomposition Analysis.

LJ Asrini, DR Sari Dewi… - Mathematical Modelling of …, 2024 - search.ebscohost.com
Many modern industrial processes involve multiple quality measures, and using individual
control charts for each measure can be misleading if these measures are highly related. This …

[PDF][PDF] Integration Model of Residual-Based Mixed CUSUM-EWMA Chart with Deep Learning-Based Automatic Optical Inspection

LJ Asrini, KJ Wang - International Journal of Modeling and Optimization, 2024 - ijmo.org
Challenges arise when it comes to identifying flaws in small-scale electronic components
swiftly during quality inspections. While Convolutional Neural Networks (CNNs) are effective …

AI Big Data Multi-dimensional Intelligent Pension Model Recommendation Algorithm Empowered by Artificial Intelligence

M Li - International Conference on Big Data Analytics for …, 2022 - Springer
The application of artificial intelligence technology has brought about great changes.
Artificial intelligence technology has facilitated a change in the understanding of elderly care …