A Mobile Solution Based on Soft Computing for Fall Detection

2018 ◽  
pp. 275-294
Author(s):  
Serkan Ballı ◽  
Ensar Arif Sağbaş ◽  
Musa Peker
Keyword(s):  
Soft Computing ◽  
Fall Detection

Soft Computing in Electromagnetics

2015 ◽  
Author(s):  
Balamati Choudhury ◽  
Rakesh Mohan Jha
Keyword(s):  
Soft Computing

Development of Fall Detection System Using Ultrasound Sensors

2011 ◽  
Vol 131 (1) ◽  
pp. 45-52 ◽  
Author(s):  
Takuya Tajima ◽  
Takehiko Abe ◽  
Haruhiko Kimura
Keyword(s):  
Detection System ◽  
Fall Detection

MACHINE LEARNING FOR SOFTWARE

2019 ◽  
pp. 251-255
Author(s):  
Shafagat Mahmudova
Keyword(s):  
Machine Learning ◽  
Neural Networks ◽  
Soft Computing ◽  
Computing Technology

The study machine learning for software based on Soft Computing technology. It analyzes Soft Computing components. Their use in software, their advantages and challenges are studied. Machine learning and its features are highlighted. The functions and features of neural networks are clarified, and recommendations were given.

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