[HTML][HTML] A review of ultrasonic sensing and machine learning methods to monitor industrial processes
Supervised machine learning techniques are increasingly being combined with ultrasonic
sensor measurements owing to their strong performance. These techniques also offer …
sensor measurements owing to their strong performance. These techniques also offer …
Machine learning for ultrasonic nondestructive examination of welding defects: A systematic review
Recent years have seen a substantial increase in the application of machine learning (ML)
for automated analysis of nondestructive examination (NDE) data. One of the applications of …
for automated analysis of nondestructive examination (NDE) data. One of the applications of …
Ultrasonic signal classification and imaging system for composite materials via deep convolutional neural networks
M Meng, YJ Chua, E Wouterson, CPK Ong - Neurocomputing, 2017 - Elsevier
Automated ultrasonic signal classification systems are finding increasing use in many
applications for the recognition of large volumes of inspection signals. Wavelet transform is a …
applications for the recognition of large volumes of inspection signals. Wavelet transform is a …
Convolutional neural network for ultrasonic weldment flaw classification in noisy conditions
Ultrasonic flaw classification in weldment is an active area of research and many artificial
intelligence approaches have been applied to automate this process. However, in the …
intelligence approaches have been applied to automate this process. However, in the …
Performance enhancement of convolutional neural network for ultrasonic flaw classification by adopting autoencoder
The industrial application of deep neural networks to automate the ultrasonic weldment flaw
classification system has some limitations. The major problem that affects the classification …
classification system has some limitations. The major problem that affects the classification …
Investigation of deep neural network with drop out for ultrasonic flaw classification in weldments
Ultrasonic signal classification of defects in weldment, in automatic fashion, is an active area
of research and many pattern recognition approaches have been developed to classify …
of research and many pattern recognition approaches have been developed to classify …
Monitoring mixing processes using ultrasonic sensors and machine learning
Mixing is one of the most common processes across food, chemical, and pharmaceutical
manufacturing. Real-time, in-line sensors are required for monitoring, and subsequently …
manufacturing. Real-time, in-line sensors are required for monitoring, and subsequently …
Research on ultrasonic defect imaging based on a neural network with Gaussian weight function fusion model
Z Lu, K Yao, X Li, C Yu - Construction and Building Materials, 2024 - Elsevier
Ultrasonic testing is widely used in the industrial field because of its high sensitivity, safety
and low-cost, which plays an increasingly important role in detecting defects on industrial …
and low-cost, which plays an increasingly important role in detecting defects on industrial …
Fully convolutional neural network with GRU for 3D braided composite material flaw detection
Automated ultrasonic signal classification systems are often utilized for the recognition of a
large number of ultrasonic signals in engineering materials. Existing defect classification …
large number of ultrasonic signals in engineering materials. Existing defect classification …
[PDF][PDF] New electronic white cane for stair case detection and recognition using ultrasonic sensor
SA Bouhamed, IK Kallel, DS Masmoudi - International Journal of …, 2013 - Citeseer
Blinds people need some aid to interact with their environment with more security. A new
device is then proposed to enable them to see the world with their ears. Considering not …
device is then proposed to enable them to see the world with their ears. Considering not …