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Acs: Accuracy-based client selection mechanism for federated industrial iot
This study proposes secure federated learning (FL)-based architecture for the industrial
internet of things (IIoT) with a novel client selection mechanism to enhance the learning …
internet of things (IIoT) with a novel client selection mechanism to enhance the learning …
Digital twin-enabled 3D printer fault detection for smart additive manufacturing
Early failure detection is required for Fused Deposition Modelling (FDM) 3D printers to
reduce material waste. Typically, such systems are created based on images captured …
reduce material waste. Typically, such systems are created based on images captured …
Toward accurate fused deposition modeling 3d printer fault detection using improved YOLOv8 with hyperparameter optimization
This research article presents an enhanced YOLOv8 model with an additional feature
extraction layer integrated into the traditional YOLOv8 architecture to improve fault detection …
extraction layer integrated into the traditional YOLOv8 architecture to improve fault detection …
Proof-of-authority-based secure and efficient aggregation with differential privacy for federated learning in industrial IoT
The industrial internet of things (IIoT) uses connected devices and sensors to improve
efficiency in industry, but increased reliance on these systems makes them prone to faults …
efficiency in industry, but increased reliance on these systems makes them prone to faults …
3D-AmplifAI: An ensemble machine learning approach to digital twin fault monitoring for additive manufacturing in smart factories
In the digital age, the digital twin eliminates physical barriers and risks, facilitating seamless
activities in both real and virtual worlds. In the context of additive manufacturing, testing 3D …
activities in both real and virtual worlds. In the context of additive manufacturing, testing 3D …
Three-dimensional printing quality inspection based on transfer learning with convolutional neural networks
CJ Yang, WK Huang, KP Lin - Sensors, 2023 - mdpi.com
Fused deposition modeling (FDM) is a form of additive manufacturing where three-
dimensional (3D) models are created by depositing melted thermoplastic polymer filaments …
dimensional (3D) models are created by depositing melted thermoplastic polymer filaments …
Federated learning-enabled digital twin for smart additive manufacturing industry
This work introduces a novel architecture of federated learning (FL)-enabled digital twin (DT)
for the smart additive manufacturing industry, especially 3D printing. The proposed …
for the smart additive manufacturing industry, especially 3D printing. The proposed …
3dfed: A secure federated learning-based system for fault detection in 3d printer industry
This paper proposes a secure federated learning (FL) approach for 3D printer fault
detection, namely 3DFed. Most current 3D fault detection systems were developed with a …
detection, namely 3DFed. Most current 3D fault detection systems were developed with a …
Fine-tuned cnn with data augmentation for 3d printer fault detection
Massive implementation of additive manufacturing is facing a challenge. A defect in the
surface of the goods often causes an increase in product prices. To overcome this, effective …
surface of the goods often causes an increase in product prices. To overcome this, effective …
[PDF][PDF] Intelligent Fault Classification of 3D Printers using Long Short-Term Memory
3D printing is one of the promising tools in the industry because of its ability to fabricate
complex shapes. With the rapid development of 3D printing, it is susceptible to a fault. In this …
complex shapes. With the rapid development of 3D printing, it is susceptible to a fault. In this …