Experimental Evaluation on Machine Learning Techniques for Human Activities Recognition in Digital Education Context

2016 ◽  
pp. 124-139
Author(s):  
Gabriel Leitão ◽  
Juan Colonna ◽  
Erick Ribeiro ◽  
Raimundo Barreto ◽  
Thierry-Yves Araujo ◽  
...  
Keyword(s):  
Machine Learning ◽  
Human Activities ◽  
Experimental Evaluation ◽  
Machine Learning Techniques ◽  
Digital Education ◽  
Learning Techniques ◽  
Human Activities Recognition

Attribution of climate and human activities to vegetation change in China using machine learning techniques

2020 ◽  
Vol 294 ◽  
pp. 108146 ◽  
Author(s):  
Yu Shi ◽  
Ning Jin ◽  
Xuanlong Ma ◽  
Bingyan Wu ◽  
Qinsi He ◽  
...  
Keyword(s):  
Machine Learning ◽  
Human Activities ◽  
Vegetation Change ◽  
Machine Learning Techniques ◽  
Learning Techniques

scholarly journals Steering Angle Prediction Based on Road Direction using Convolution Neural Network (CNN)

2020 ◽  
pp. 88-95
Author(s):  
Aires Da Conceicao ◽  
Sheshang Degadwala
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Human Activities ◽  
Convolution Neural Network ◽  
Human Interaction ◽  
Machine Learning Techniques ◽  
Steering Wheel ◽  
Steering Angle ◽  
Learning Techniques

Self driving vehicle is a vehicle that can drive by itself it means without human interaction. This system shows how the computer can learn and the over the art of driving using machine learning techniques. Therefore for a car achieving the autonomous ability it must show the control of human activities while driving. Those activities include control of steering wheel. There exist different techniques to control the steering angle and one of them is CNN. In this article is going to show how CNN can be used to predict the steering angle.

scholarly journals Convolutional Neural Network Computation for Steering Angle Prediction Based on Road Direction

2019 ◽  
pp. 290-295
Author(s):  
Aires Da Conceicao ◽  
Sheshang Degadwala
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Convolutional Neural Network ◽  
Human Activities ◽  
Human Interaction ◽  
Machine Learning Techniques ◽  
Steering Wheel ◽  
Steering Angle ◽  
Learning Techniques

Self driving vehicle is a vehicle that can drive by itself it means without human interaction . This system shows how the computer can learn and the over the art of driving using machine learning techniques. Therefore for a car achieving the autonomous ability it must show the control of human activities while driving. Those activities include control of steering wheel. There exist different techniques to control the steering angle and one of them is CNN. In this article we are going to see how CNN can be used to predict the steering angle.

Using machine learning techniques to reduce data annotation time

2006 ◽  
Author(s):  
Christopher Schreiner ◽  
Kari Torkkola ◽  
Mike Gardner ◽  
Keshu Zhang
Keyword(s):  
Machine Learning ◽  
Machine Learning Techniques ◽  
Data Annotation ◽  
Learning Techniques

Using Machine Learning Algorithms on Prediction of Stock Price

2020 ◽  
Vol 12 (2) ◽  
pp. 84-99
Author(s):  
Li-Pang Chen
Keyword(s):  
Machine Learning ◽  
Stock Price ◽  
Short Term Memory ◽  
Machine Learning Algorithms ◽  
Machine Learning Techniques ◽  
Support Vector ◽  
Short Term ◽  
Learning Techniques ◽  
Historical Database ◽  
Long Short Term Memory

In this paper, we investigate analysis and prediction of the time-dependent data. We focus our attention on four different stocks are selected from Yahoo Finance historical database. To build up models and predict the future stock price, we consider three different machine learning techniques including Long Short-Term Memory (LSTM), Convolutional Neural Networks (CNN) and Support Vector Regression (SVR). By treating close price, open price, daily low, daily high, adjusted close price, and volume of trades as predictors in machine learning methods, it can be shown that the prediction accuracy is improved.

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