A Human Detection Approach for Burning Building Sites Using Deep Learning Techniques

2018 ◽  
Author(s):  
Farah Jaradat ◽  
Damian Valles
Keyword(s):  
Deep Learning ◽  
Human Detection ◽  
Learning Techniques ◽  
Detection Approach

scholarly journals NLP based Deep Learning Approach for Plagiarism Detection

2020 ◽  
Vol 13 (1) ◽  
pp. 48-60
Author(s):  
Razvan Rosu ◽  
Alexandru Stefan Stoica ◽  
Paul Stefan Popescu ◽  
Marian Cristian Mihaescu
Keyword(s):  
Deep Learning ◽  
State Of The Art ◽  
Research Area ◽  
Learning Approach ◽  
Application Domain ◽  
Plagiarism Detection ◽  
Text Encoding ◽  
Detection Techniques ◽  
Learning Techniques ◽  
Detection Approach

Plagiarism detection represents an application domain for the NLP research area, which has not been investigated too much by researchers in the context of lately developed attention mechanism and sentence transformers. In this paper, we present a plagiarism detection approach which uses state-of-the-art deep learning techniques in order to provide more accurate results than classical plagiarism detection techniques. This approach goes beyond classical word searching and matching, which is time-consuming and can be easily cheated because it uses attention mechanisms and aims for text encoding and contextualization. In order to get proper insight regarding the system, we investigate three approaches in order to be sure that the results are relevant and well-validated. The experimental results show that the systems that use BERT pre-trained model offers the best results and outperforms GloVe and RoBERTa

MAPPING IN DYNAMIC ENVIRONMENTS USING DEEP LEARNING-BASED HUMAN DETECTION

2019 ◽  
Author(s):  
João Carlos Virgolino Soares ◽  
Marcelo Gattass ◽  
Marco Antonio Meggiolaro
Keyword(s):  
Deep Learning ◽  
Dynamic Environments ◽  
Human Detection

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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