Target localisation and tracking in a UWB radar network: UWB Indoor Person Tracking

For both security and analytics, much research has gone into person tracking already. As a result, many<br/>different state of the art technologies exist. However, in darkness or without a direct line of sight, much<br/>less technologies are capable of this. The choices become especially limited when the setup needs to<br/>be portable.<br/>A...

Image Search Engine for Digital History: A deep learning approach

This research investigates and describes an image search engine for digital history using deep learning technologies. It is part of the Engineering Historical Memory research, contributing to a multilingual and transcultural approach to decode-encode the treasure of human experience and transmit it to the next generation of world citizens. The...

How long before strike can we predict earthquakes with an LSTM neural network?

Different methods have been studied to predict earthquakes, but the results are still far from optimal. Due to their seemingly dynamic and unpredictable nature, it has been very hard to find data correlating with earthquakes happening. But recently, various research has been done using neural networks, and some has suggested that it could...

UniformGAN: generative adversarial networks in uniform probability spaces: Improving correlation by leveraging integral probability transform

Sharing data is becoming increasingly difficult, due to the regulatory constraints imposed by the General Data Protection Regulation (GDPR). Businesses are not allowed to share data which contains privacy sensitive information. Synthetic data generation has emerged as a solution to this problem. State of the art generative adversarial networks ...

Non-intrusive patient monitoring to prevent pressure ulcers: Algorithm Subgroup

The founders of Momo Medical envisioned a health care product that would help nurses worldwide with pressure ulcer prevention. Pressure ulcers are a chronic wound that affects the skin of patients who do not regularly change bed posture. As it currently stands, nurses lack the manpower and time to change the postureof patients in a timely manor....

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...

Solving the mTSP for fresh food delivery

A starting company intends to deliver fresh baby food at home addresses in the area of Zwolle, the Netherlands. The limited time windows of delivery encourage the notion of dividing the addresses over several shifts. Dividing optimal routes over these shifts is shown to be an instance of the multiple traveling salesman problem (mTSP). Three...