Estimation of Tsunami Characteristics from Deposits: Inverse Modeling using a Deep-Learning Neural Network

2020 ◽  
Author(s):  
Rimali Mitra ◽  
Hajime Naruse ◽  
Tomoya Abe
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Inverse Modeling ◽  
Deep Learning Neural Network

scholarly journals Augmented Reality Maintenance Assistant Using YOLOv5

2021 ◽  
Vol 11 (11) ◽  
pp. 4758
Author(s):  
Ana Malta ◽  
Mateus Mendes ◽  
Torres Farinha
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Object Recognition ◽  
Augmented Reality ◽  
Real Time ◽  
Recognition System ◽  
High Accuracy ◽  
Video Streams ◽  
The Neural Network ◽  
Deep Learning Neural Network

Maintenance professionals and other technical staff regularly need to learn to identify new parts in car engines and other equipment. The present work proposes a model of a task assistant based on a deep learning neural network. A YOLOv5 network is used for recognizing some of the constituent parts of an automobile. A dataset of car engine images was created and eight car parts were marked in the images. Then, the neural network was trained to detect each part. The results show that YOLOv5s is able to successfully detect the parts in real time video streams, with high accuracy, thus being useful as an aid to train professionals learning to deal with new equipment using augmented reality. The architecture of an object recognition system using augmented reality glasses is also designed.

scholarly journals Modeling the heat resistance of nickel-based superalloys by a deep learning neural network

2020 ◽  
Author(s):  
Dmitry A. Tarasov ◽  
Andrey G. Tyagunov ◽  
Oleg B. Milder
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Heat Resistance ◽  
Deep Learning Neural Network

scholarly journals An Integrated Approach Based on Improved CEEMDAN and LSTM Deep Learning Neural Network for Fault Diagnosis of Reciprocating Pump

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 23301-23310
Author(s):  
Fengfeng Bie ◽  
Tengfei Du ◽  
Fengxia Lyu ◽  
Mingjun Pang ◽  
Yue Guo
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Fault Diagnosis ◽  
Integrated Approach ◽  
Deep Learning Neural Network ◽  
Reciprocating Pump

scholarly journals Anatomic Accuracy Subanalysis of a Deep Learning Neural Network Specific for the Identification of Infrarenal Abdominal Aortic Aneurysms

2021 ◽  
Vol 74 (3) ◽  
pp. e70
Author(s):  
Justin Camara ◽  
Roger T. Tomihama ◽  
Mathew Shedd ◽  
Cole Knox ◽  
Brandon Dobrowsky ◽  
...  
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Abdominal Aortic Aneurysms ◽  
Aortic Aneurysms ◽  
Abdominal Aortic ◽  
Deep Learning Neural Network
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