Intelligent welding system technologies: State-of-the-art review and perspectives

B Wang, SJ Hu, L Sun, T Freiheit - Journal of Manufacturing Systems, 2020 - Elsevier
Welding systems are being transformed by the advent of modern information technologies
such as the internet of things, big data, artificial intelligence, cloud computing, and intelligent …

Enhancing sustainability and energy efficiency in smart factories: A review

Y Meng, Y Yang, H Chung, PH Lee, C Shao - Sustainability, 2018 - mdpi.com
With the rapid development of sensing, communication, computing technologies, and
analytics techniques, today's manufacturing is marching towards a new generation of …

Machine vision intelligence for product defect inspection based on deep learning and Hough transform

J Wang, P Fu, RX Gao - Journal of Manufacturing Systems, 2019 - Elsevier
Abstract Machine vision based product inspection methods have been widely investigated to
improve product quality and reduce labour costs. Recent advancement in deep learning …

In-process tool condition monitoring in compliant abrasive belt grinding process using support vector machine and genetic algorithm

V Pandiyan, W Caesarendra, T Tjahjowidodo… - Journal of manufacturing …, 2018 - Elsevier
Industrial interest in tool condition monitoring for compliant coated abrasives has
significantly augmented in recent years as unlike other abrasive machining processes the …

Machine learning techniques for quality control in high conformance manufacturing environment

CA Escobar… - Advances in Mechanical …, 2018 - journals.sagepub.com
In today's highly competitive global market, winning requires near-perfect quality. Although
most mature organizations operate their processes at very low defects per million …

Modelling and monitoring of abrasive finishing processes using artificial intelligence techniques: A review

V Pandiyan, S Shevchik, K Wasmer, S Castagne… - Journal of Manufacturing …, 2020 - Elsevier
Abrasive finishing processes such as grinding, lapping or disc polishing are one of the most
practical means for processing materials to manufacture products with fine surface finish …

Application of integrated recurrent neural network with multivariate adaptive regression splines on SPC-EPC process

LJ Kao, CC Chiu - Journal of Manufacturing Systems, 2020 - Elsevier
The integration of statistical process control and engineering process control has been
reported as an effective way to monitor and control the autocorrelated process. However …

A comprehensive survey on the process, methods, evaluation, and challenges of feature selection

MR Islam, AA Lima, SC Das, MF Mridha… - IEEE …, 2022 - ieeexplore.ieee.org
Feature selection is employed to reduce the feature dimensions and computational
complexity by eliminating irrelevant and redundant features. A vast amount of increasing …

Combining genetic algorithms and SVM for breast cancer diagnosis using infrared thermography

R Resmini, L Silva, AS Araujo, P Medeiros… - Sensors, 2021 - mdpi.com
Breast cancer is one of the leading causes of mortality globally, but early diagnosis and
treatment can increase the cancer survival rate. In this context, thermography is a suitable …

Quality assessment of crowdsourced social media data for urban flood management

C Songchon, G Wright, L Beevers - Computers, Environment and Urban …, 2021 - Elsevier
Urban flooding can cause widespread devastation in terms of loss of life and damage to
property. As such, monitoring urban flood evolution is crucial in identifying the most affected …