Deep Learning Neural Network and CNN-Based Diagnosis of Heart Diseases

2021 ◽  
pp. 169-195
Author(s):  
Adyasha Rath ◽  
Debahuti Mishra ◽  
Ganapati Panda
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Heart Diseases ◽  
Deep Learning Neural Network

scholarly journals Heart Diseases Prediction using Deep Learning Neural Network Model

2020 ◽  
Vol 9 (3) ◽  
pp. 2244-2248
Keyword(s):  
Neural Network ◽  
Heart Disease ◽  
Deep Learning ◽  
Heart Diseases ◽  
Medical Science ◽  
Disease Prediction ◽  
Health Issues ◽  
Deep Learning Neural Network

Deep learning plays an important role in the field of medical science in solving health issues and diagnosing various diseases. So in this paper, we will discuss heart disease. We proposed a model for heart disease prediction. Heart Disease is on of key area where Deep Neural Network can be used so we can improve the overall quality of the classification of heart disease. The classification can be performed on the various ways like KNN, SVM, Naïve Bayes, Random Forest. Heart Disease UCI dataset will be used to demonstrate Talos Hyper-parameter optimization is more efficient than others.

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.

Sign in / Sign up

Export Citation Format

Share Document