Automated machine learning for fabric quality prediction: A comparative analysis

A Metin, TT Bilgin - PeerJ Computer Science, 2024 - peerj.com
The enhancement of fabric quality prediction in the textile manufacturing sector is achieved
by utilizing information derived from sensors within the Internet of Things (IoT) and …

Estimation of Operation Time with Digital Twin in Manufacturing

Ş Duymaz, AF Güneri - Journal of Soft Computing and Decision …, 2024 - jscda-journal.org
There are two most important factors that are taken into consideration in businesses. One of
them is time and the other is cost. In order to save time and cost, planning of production …

Addressing the Complexity of AI Integration in Manufacturing: A Morphological Analysis

L Koval, MU Akmal, S Asif, SG Mathias… - 2024 IEEE 29th …, 2024 - ieeexplore.ieee.org
This paper introduces a novel methodological approach to transform a traditional model-
centric machine learning pipeline into a morphological box. Utilizing a taxonomy …

Integrated Data Processing and Model Selection in Machine Learning Framework Development to Predict Dimensional Errors in Wire Arc Additive Manufacturing …

S Valizadeh Sotubadi… - International …, 2024 - asmedigitalcollection.asme.org
In-situ monitoring of Wire Arc Additive Manufacturing (WAAM) is crucial to provide real-time
insights into the process for corrective feedback. Machine Learning (ML) approaches have …

Automated Data Processing for Efficient Development of multimodal Machine Learning Models in Tool Wear Detection

S ValizadehSotubadi, N Mahjourian, V Nguyen - 2024 - researchsquare.com
This study aims to develop an Automated Data Processing (ADP) framework that
automatically processes multimodal data for machine learning (ML) diagnostics of …

[PDF][PDF] INTEGRATED DATA PROCESSING AND MODEL SELECTION IN MACHINE LEARNING FRAMEWORK DEVELOPMENT TO PREDICT DIMENSIONAL …

SV Sotubadi, N Hendrickson, V Nguyen - 2024 - researchgate.net
In-situ monitoring of Wire Arc Additive Manufacturing (WAAM) is crucial to provide real-time
insights into the process for corrective feedback. Machine Learning (ML) approaches have …