Reducing the need for communication in wireless sensor networks using machine learning and planning techniques

Wireless sensor networks are commonly used to remotely and automatically monitor environments.<br/>One of the main challenges in wireless sensor networks is to use the limited available energy as efficiently as possible, to ensure longevity of the network. For such networks to survive their intended deployment period no energy may be wasted on...

Facade labelling using neural networks

This report describes the process of the Bachelorproject(TI3806) done for ‘De Energiebespaarders’, a startup in Amsterdam striving to make homes more energy efficient through accessible advice and installation of insulation or solar panels. The goal of the project was to apply machine learning to improve their system for identifying house...