A multi-domain mixture density network for tool wear prediction under multiple machining conditions

G Kim, SM Yang, S Kim, DY Kim, JG Choi… - … Journal of Production …, 2023 - Taylor & Francis
Accurate tool wear prediction is an essential task in machining processes because it helps
to schedule efficient tool maintenance and maximise the tool's useful life, thus contributing to …

Ten years of Industry 4.0 adoption: external and internal perspective in a systemic model towards Industry 5.0

M Piccarozzi, C Silvestri, F Rossi… - European Journal of …, 2024 - emerald.com
Purpose This study aims to provide a systemic and integrated view of how Industry 4.0 and
its enabling technologies affect companies' internal and external environments. It offers a …

Few-shot learning for defect detection in manufacturing

P Zajec, JM Rožanec, S Theodoropoulos… - … Journal of Production …, 2024 - Taylor & Francis
Quality control is being increasingly automatised in the context of Industry 4.0. Its
automatisation reduces inspection times and ensures the same criteria are used to evaluate …

An Intelligent Thermal Compensation System Using Edge Computing for Machine Tools

E Kristiani, LY Wang, JC Liu, CK Huang, SJ Wei… - Sensors, 2024 - mdpi.com
This paper focuses on the use of smart manufacturing in lathe-cutting tool machines, which
can experience thermal deformation during long-term processing, leading to displacement …

Active vision: A promising technology for achieving zero-defect manufacturing

KA Tsintotas, I Kansizoglou, FK Konstantinidis… - Procedia Computer …, 2024 - Elsevier
Quality constitutes the cutting-edge of contemporary industry, much more sharpened with
the emergence of Industry 4.0. Yet, the assurance of delivering high-quality products …

Green ICT Methodology for Energy Consumption Calculation in ICT Architecture Components

N Balakera, V Tzelepi, FK Konstantinidis… - Procedia Computer …, 2024 - Elsevier
As the usage of information and communication technology (ICT) solution have been
exploded in the last decades, the research community exhibits a deficiency in terms of …

Exploratory Literature Review of Maturity Models in Industry 4.0 and 5.0

B Zineb, A Benabdelouahab… - … Research in Applied …, 2024 - ieeexplore.ieee.org
In the present era, the manufacturing sector is experiencing two distinct revolutions. Industry
4.0 emphasizes machine autonomy, digitization, and problem-solving without human …

Optimization of the Factory Layout and Production Flow Using Production-Simulation-Based Reinforcement Learning

H Choi, S Yu, DH Lee, SD Noh, S Ji, H Kim, H Yoon… - Machines, 2024 - mdpi.com
Poor layout designs in manufacturing facilities severely reduce production efficiency and
increase short-and long-term costs. Analyzing and deriving efficient layouts for novel line …

Exploration and Mitigation of the Impact of Lighting Conditions on Multi-spectral Image Classification

S Sifnaios, I Zorzos, G Arvanitakis… - … on Imaging Systems …, 2023 - ieeexplore.ieee.org
Imaging spectroscopy is a potent and versatile technique, offering valuable spatial and
spectral data across a diverse range of applications such as agriculture, environmental …

Mixed Reality for health and safety monitoring

T Katika, T Papaioannou… - … on Imaging Systems …, 2023 - ieeexplore.ieee.org
MR can create immersive environments for workers to practice safety protocols, identify
potential hazards, and visualize safety information in real-time, improving safety awareness …