Multimedia big data computing and Internet of Things applications: A taxonomy and process model

A Kumari, S Tanwar, S Tyagi, N Kumar… - Journal of Network and …, 2018 - Elsevier
With an exponential increase in the provisioning of multimedia devices over the Internet of
Things (IoT), a significant amount of multimedia data (also referred to as multimedia big data …

Data mining in manufacturing: a review based on the kind of knowledge

AK Choudhary, JA Harding, MK Tiwari - Journal of Intelligent …, 2009 - Springer
In modern manufacturing environments, vast amounts of data are collected in database
management systems and data warehouses from all involved areas, including product and …

[HTML][HTML] An enhanced technique of skin cancer classification using deep convolutional neural network with transfer learning models

MS Ali, MS Miah, J Haque, MM Rahman… - Machine Learning with …, 2021 - Elsevier
Skin cancer is one of the top three perilous types of cancer caused by damaged DNA that
can cause death. This damaged DNA begins cells to grow uncontrollably and nowadays it is …

Time series shapelets: a novel technique that allows accurate, interpretable and fast classification

L Ye, E Keogh - Data mining and knowledge discovery, 2011 - Springer
Classification of time series has been attracting great interest over the past decade. While
dozens of techniques have been introduced, recent empirical evidence has strongly …

[HTML][HTML] A review of data mining applications in semiconductor manufacturing

P Espadinha-Cruz, R Godina, EMG Rodrigues - Processes, 2021 - mdpi.com
For decades, industrial companies have been collecting and storing high amounts of data
with the aim of better controlling and managing their processes. However, this vast amount …

Virtual metrology and feedback control for semiconductor manufacturing processes using recursive partial least squares

AA Khan, JR Moyne, DM Tilbury - Journal of Process Control, 2008 - Elsevier
Virtual metrology (VM) is the prediction of metrology variables (either measurable or non-
measurable) using process state and product information. In the past few years VM has …

Multimedia big data computing

W Zhu, P Cui, Z Wang, G Hua - IEEE multimedia, 2015 - ieeexplore.ieee.org
With the proliferation of social media, which is largely fostered by the boom of the Internet
and mobile ecosystems, a huge amount of multimedia data has been generated, forming the …

Statistical process control for monitoring non-linear profiles using wavelet filtering and B-spline approximation

SI Chang, S Yadama - International Journal of Production …, 2010 - Taylor & Francis
A statistical process control framework is proposed to monitor non-linear profiles. The
proposed methodology aims at identifying mean shifts or 'shape changes' in a profile …

[HTML][HTML] Multiscale monitoring using machine learning methods: New methodology and an industrial application to a photovoltaic system

H Chaouch, S Charfeddine, S Ben Aoun, H Jerbi… - Mathematics, 2022 - mdpi.com
In this study, a multiscale monitoring method for nonlinear processes was developed. We
introduced a machine learning tool for fault detection and isolation based on the kernel …

A wavelet-based freeway incident detection algorithm with adapting threshold parameters

YS Jeong, M Castro-Neto, MK Jeong, LD Han - … Research Part C …, 2011 - Elsevier
This paper presents a wavelet-based novel freeway automated incident detection algorithm
with varying threshold parameters considering the level of traffic flow. In this approach, new …