Machine learning and deep learning based predictive quality in manufacturing: a systematic review

H Tercan, T Meisen - Journal of Intelligent Manufacturing, 2022 - Springer
With the ongoing digitization of the manufacturing industry and the ability to bring together
data from manufacturing processes and quality measurements, there is enormous potential …

Machine learning and AI technologies for smart wearables

KP Seng, LM Ang, E Peter, A Mmonyi - Electronics, 2023 - mdpi.com
The recent progress in computational, communications, and artificial intelligence (AI)
technologies, and the widespread availability of smartphones together with the growing …

A verification-oriented and part-focused assembly monitoring system based on multi-layered digital twin

J Pang, P Zheng, S Li, S Liu - Journal of Manufacturing Systems, 2023 - Elsevier
In line with the human centricity characteristics of the emerging Industry 5.0 paradigm,
manual assembly has long been an indispensable element of the small-batch and …

A systematic literature review of industry 4.0 technologies within medical device manufacturing

TK Lepasepp, W Hurst - Future Internet, 2021 - mdpi.com
Ever since the emergence of Industry 4.0 as the synonymous term for the fourth industrial
revolution, its applications have been widely discussed and used in many business …

Smart manufacturing applications for inspection and quality assurance processes

M Galindo-Salcedo, A Pertúz-Moreno… - Procedia Computer …, 2022 - Elsevier
Smart manufacturing had a high impact in recent years within the inspection and quality
assurance processes, providing innovative technologies in machine learning …

Dance and movement-led research for designing and evaluating wearable human-computer interfaces

R Otterbein, E Jochum, D Overholt, S Bai… - Proceedings of the 8th …, 2022 - dl.acm.org
Movement research and practice in the context of wearable technologies and human-
computer interaction (HCI) shifts the design paradigm to the lived body. Human movement is …

[PDF][PDF] Artificial Intelligence and Deep Learning in Sensors and Applications

SM Yuan, ZW Hong, WK Cheng - Sensors, 2024 - mdpi.com
To effectively solve the increasingly complex problems experienced by human beings, the
latest development trend is to apply a large number of different types of sensors to collect …

Exploiting image quality measure for automatic trajectory generation in robot-aided visual quality inspection

A Jafari-Tabrizi, DP Gruber, A Gams - The International Journal of …, 2024 - Springer
Currently, the standard method of programming industrial robots is to perform it manually,
which is cumbersome and time-consuming. Thus, it can be a burden for the flexibility of …

Human Biological Analysis Through Fitness Watch Using Deep Learning Algorithm

NB Bahadure, R Khomane, A Singh… - … Powered by AI …, 2025 - Wiley Online Library
In today's modern world, technology plays a significant role in various aspects of our lives,
especially when it comes to enhancing our overall well‐being. One such technological …

[PDF][PDF] AUTOMATED ASSISTANCE IN HAZARDOUS MANUFACTURING PROCESSES TO IMPROVE PRODUCTIVITY AND REDUCE WORKERS BODILY RISKS: A …

MA Al Mamun, L Buics - … serial publication for theory and practice …, 2022 - researchgate.net
The goal of this paper is to examine the opportunities of using robots in hazardous
manufacturing processes instead of humans. A systematic literature review with the help of a …