Data analytics in quality 4.0: literature review and future research directions
The quality level in manufacturing processes increasingly concerns manufacturing firms, as
they respond to pressures such as increasing complexity and variety of products, more …
they respond to pressures such as increasing complexity and variety of products, more …
[HTML][HTML] Detecting coagulation time in cheese making by means of computer vision and machine learning techniques
Cheese production, a globally cherished culinary tradition, faces challenges in ensuring
consistent product quality and production efficiency. The critical phase of determining cutting …
consistent product quality and production efficiency. The critical phase of determining cutting …
Yarn apparent evenness detection based on L0 norm smoothing and the expectation maximization method
H Zhang, H Zhu, K Yan, J **g… - Textile Research …, 2023 - journals.sagepub.com
During spinning, knitting and weaving processes, the yarn apparent evenness is an
important factor, which determines the quality of subsequent spinning production and fabric …
important factor, which determines the quality of subsequent spinning production and fabric …
[HTML][HTML] Intelligent inspection method and system of plastic gear surface defects based on adaptive sample weighting deep learning model
Z Shi, Y Fang, H Song - Sensors, 2024 - mdpi.com
After injection molding, plastic gears often exhibit surface defects, including those on end
faces and tooth surfaces. These defects encompass a wide range of types and possess …
faces and tooth surfaces. These defects encompass a wide range of types and possess …
[HTML][HTML] Hybrid oversampling and undersampling method (houm) via safe-level smote and support vector machine
D Yilmaz Eroglu, MS Pir - Applied Sciences, 2024 - mdpi.com
The improvements in collecting and processing data using machine learning algorithms
have increased the interest in data mining. This trend has led to the development of real-life …
have increased the interest in data mining. This trend has led to the development of real-life …
Brain Tumor Detection and Classification Using Convolutional Neural Network (CNN)
F lahmood HAMEED, O DAKKAK - 2022 International Congress …, 2022 - ieeexplore.ieee.org
According to the World Health Organization, brain tumors are one of the leading causes of
mortality globally. Early identification of this disease is difficult due to its intricacy and quiet …
mortality globally. Early identification of this disease is difficult due to its intricacy and quiet …
Intelligent computer vision system for analysis and characterization of yarn quality
The quality of yarn is essential in the control of the fabrics processes. There is some
commercial equipment that measures the quality of yarn based on sensors, of different …
commercial equipment that measures the quality of yarn based on sensors, of different …
YOLOV4-TinyS: a new convolutional neural architecture for real-time detection of fabric defects in edge devices
Real-time detection of fabric defects is a fairly critical part of industrial production. However,
there are still some key issues to be solved in practical detection production, such as low …
there are still some key issues to be solved in practical detection production, such as low …
A Novel Deep Learning Approach for Yarn Hairiness Characterization Using an Improved YOLOv5 Algorithm.
F Pereira, H Lopes, L Pinto, F Soares… - Applied Sciences …, 2025 - search.ebscohost.com
In textile manufacturing, ensuring high-quality yarn is crucial, as it directly influences the
overall quality of the end product. However, imperfections like protruding and loop fibers …
overall quality of the end product. However, imperfections like protruding and loop fibers …
[HTML][HTML] Visual Anomaly Detection via CNN-BiLSTM Network with Knit Feature Sequence for Floating-Yarn Stacking during the High-Speed Sweater Knitting Process
J Li, Y Wang, W Liang, C **ong, W Cai, L Li, Y Liu - Electronics, 2024 - mdpi.com
In order to meet the current expanding market demand for knitwear, high-speed automatic
knitting machines with “one-line knit to shape” capability are widely used. However, the …
knitting machines with “one-line knit to shape” capability are widely used. However, the …