scholarly journals Medicinal Plant Identification using Gabor Filters and Deep Learning Techniques: A Paper Review

2021 ◽  
Vol 17 (12) ◽  
pp. 1210-1221
Author(s):  
Stephen Opoku Oppong ◽  
Frimpong Twum ◽  
James Ben Hayfron-Acquah ◽  
Yaw Marfo Missah
Keyword(s):  
Deep Learning ◽  
Medicinal Plant ◽  
Gabor Filters ◽  
Plant Identification ◽  
Learning Techniques ◽  
Paper Review

scholarly journals Medicinal Plant Identification Using Deep Learning

2021 ◽  
Vol 3 (Special Issue ICITCA-2021 5S) ◽  
pp. 48-53
Author(s):  
Geerthana R. ◽  
Nandhini P. ◽  
Suriyakala R.
Keyword(s):  
Deep Learning ◽  
Medicinal Plant ◽  
Plant Identification

Anomaly Detection and Categorization in Cloud Environment using Deep Learning Techniques

2019 ◽  
Vol 7 (5) ◽  
pp. 211-214
Author(s):  
Nidhi Thakkar ◽  
Miren Karamta ◽  
Seema Joshi ◽  
M. B. Potdar
Keyword(s):  
Deep Learning ◽  
Anomaly Detection ◽  
Cloud Environment ◽  
Learning Techniques

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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