Exploiting the use of machine learning in two different sensor network architectures for indoor localization

Computer Science

• Active Research 50%
• Computational Cost 50%
• Computational Power 50%
• Data Filtering 50%
• fault-tolerance 50%
• low-power consumption 50%
• Machine Learning 100%
• Mobile Robot 50%
• Navigation Task 50%
• Network Architecture 100%
• Power Requirement 50%
• Robot 50%
• Sensor Networks 100%

INIS

• architecture 100%
• cost 20%
• data 20%
• environment 40%
• indoors 100%
• interference 40%
• machine learning 100%
• navigation 20%
• people 20%
• power 40%
• reliability 20%
• robots 40%
• sensors 100%
• signals 40%
• solutions 40%
• tolerance 20%
• vulnerability 20%