scholarly journals A New Approach for Sparse Matrix Classification Based on Deep Learning Techniques

2018 ◽  
Author(s):  
Juan C. Pichel ◽  
Beatriz Pateiro-Lopez
Keyword(s):  
Deep Learning ◽  
Sparse Matrix ◽  
New Approach ◽  
Learning Techniques

Soft detection of 5-day BOD with sparse matrix in city harbor water using deep learning techniques

2020 ◽  
Vol 170 ◽  
pp. 115350 ◽  
Author(s):  
Jun Ma ◽  
Yuexiong Ding ◽  
Jack C.P. Cheng ◽  
Feifeng Jiang ◽  
Zherui Xu
Keyword(s):  
Deep Learning ◽  
Sparse Matrix ◽  
Soft Detection ◽  
Learning Techniques

scholarly journals A Comparative Analysis of Artificial Neural Network and Deep Learning Techniques in Heart Disease

2021 ◽  
Vol 12 (3) ◽  
pp. 3650-3661
Author(s):  
Abhishek Saxena Et.al
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Heart Disease ◽  
Deep Learning ◽  
Comparative Analysis ◽  
Medical Science ◽  
Human Beings ◽  
New Approach ◽  
Learning Techniques ◽  
Artificial Neural

The use of Computers has made the drastic change in the lifestyle of human beings, by making them dependantto solvemany complex applications which was unable to solve him previously. There are many real time applications which needs the joint interaction of human &machine to obtainthe results in fruitful manner. The Artificial Neural Network which is based on the concept of biological brain plays a major role in this, but still suffers from many limitations. To overcome this, a new approach called Deep Learning, based on same human biological systemslike Artificial Neural Network, came into existence to find the best solution in the field of medical science. The main aim of this papers is to review the comparative analysis ofthese two techniques being used in the detection of Heart Disease.

Real Time Gender and Age Prediction using Deep Learning Techniques

2020 ◽  
Vol 9 (6) ◽  
pp. 797-801
Keyword(s):  
Deep Learning ◽  
Face Recognition ◽  
Real Time ◽  
Vital Role ◽  
Learning Techniques ◽  
Gender And Age ◽  
The Face ◽  
And Gender ◽  
Gender Detection ◽  
Age Prediction

Face recognition plays a vital role in security purpose. In recent years, the researchers have focused on the pose illumination, face recognition, etc,. The traditional methods of face recognition focus on Open CV’s fisher faces which results in analyzing the face expressions and attributes. Deep learning method used in this proposed system is Convolutional Neural Network (CNN). Proposed work includes the following modules: [1] Face Detection [2] Gender Recognition [3] Age Prediction. Thus the results obtained from this work prove that real time age and gender detection using CNN provides better accuracy results compared to other existing approaches.

Deep Learning Techniques for Koala Activity Detection

2018 ◽  
Author(s):  
Ivan Himawan ◽  
Michael Towsey ◽  
Bradley Law ◽  
Paul Roe
Keyword(s):  
Deep Learning ◽  
Activity Detection ◽  
Learning Techniques
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