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[HTML][HTML] Application of Object Detection Algorithms in Non-Destructive Testing of Pressure Equipment: A Review
W Wang, J Chen, G Han, X Shi, G Qian - Sensors, 2024 - mdpi.com
Non-destructive testing (NDT) techniques play a crucial role in industrial production,
aerospace, healthcare, and the inspection of special equipment, serving as an …
aerospace, healthcare, and the inspection of special equipment, serving as an …
[HTML][HTML] A comprehensive overview of the fabrication and testing methods of FRP composite pipes
The current work offers a comprehensive and in-depth examination of Fiber Reinforced
Composite pipes mainly dealing with Carbon Fiber Reinforced Polymer (CFRP) composite …
Composite pipes mainly dealing with Carbon Fiber Reinforced Polymer (CFRP) composite …
Integrating AI in NDE: Techniques, Trends, and Further Directions
E Pérez, CE Ardic, O Çakıroğlu, K Jacob… - arxiv preprint arxiv …, 2024 - arxiv.org
The digital transformation is fundamentally changing our industries, affecting planning,
execution as well as monitoring of production processes in a wide range of application …
execution as well as monitoring of production processes in a wide range of application …
[HTML][HTML] Towards enhancing automated defect recognition (ADR) in digital X-ray radiography applications: synthesizing training data through X-ray intensity …
Industrial radiography is a pivotal non-destructive testing (NDT) method that ensures quality
and safety in a wide range of industrial sectors. Conventional human-based approaches …
and safety in a wide range of industrial sectors. Conventional human-based approaches …
Automated Damage and Defect Detection with Low-Cost X-ray Radiography Using Data-Driven Predictor Models and Data Augmentation by X-ray Simulation
S Bosse - Engineering Proceedings, 2023 - mdpi.com
The detection of hidden defects in materials using X-ray images is still a challenge. Often, a
lot of defects are not directly visible in visual inspection. In this work, a data-driven feature …
lot of defects are not directly visible in visual inspection. In this work, a data-driven feature …
[HTML][HTML] High-quality, low-quantity: A data-centric approach to deep learning performance optimization in digital X-Ray radiography
The accuracy of identifying defects using specialized deep learning models can be affected
by the circumstances in which the training data is curated. This is especially evident in digital …
by the circumstances in which the training data is curated. This is especially evident in digital …
Defects Prediction Method for Radiographic Images Based on Random PSO Using Regional Fluctuation Sensitivity
Z Shang, B Li, L Chen, L Zhang - Sensors, 2023 - mdpi.com
This paper presents an advanced methodology for defect prediction in radiographic images,
predicated on a refined particle swarm optimization (PSO) algorithm with an emphasis on …
predicated on a refined particle swarm optimization (PSO) algorithm with an emphasis on …
Real-Time Detection of Rice Quantity in Institutional Food Service Using the DeepLabV3Plus Deep Learning Algorithm
YH Park, EY Choi - Culinary Science & Hospitality Research, 2024 - dbpia.co.kr
This study aimed to identify the most suitable algorithm for accurate and efficient real-time
rice quantity detection on white serving trays to enhance personalized nutrition management …
rice quantity detection on white serving trays to enhance personalized nutrition management …
Pruebas de constancia y calidad de la imagen de Radiografía Digital
GH Vera Patiño, MC Ortiz Hernández - repository.unad.edu.co
Este documento es un análisis detallado sobre las pruebas de constancia en la radiografía
digital y su relación con la calidad de la imagen. Se discuten los criterios de calidad de la …
digital y su relación con la calidad de la imagen. Se discuten los criterios de calidad de la …
[CITATA][C] 극점 데이터와 One-class SVM 을 활용한 금속 배관 X-ray 영상의 용접부 검출
진성욱, 이정민, 권은, 박긍휼, 서준성… - 대한기계학회 춘추학술 …, 2023 - dbpia.co.kr
This study proposes a method for effectively exploring regions of interest containing welding
defects in X-ray images of welded metal pipes using statistical techniques and machine …
defects in X-ray images of welded metal pipes using statistical techniques and machine …