Regularization of end-to-end learning for cardiac diagnosis by multitask learning with segmentation

Cardiac magnetic resonance (CMR) is used extensively in the diagnosis and management of cardiovascular disease. Deep learning methods have proven to deliver segmentation results comparable to human experts in CMR imaging, however, no successful attempts have been made at fully automated diagnosis. This has been contributed to a lack of...

Comparing the Performance of different Market Structures for Regional Heat Networks: A simulation study into the impact of fuel prices, consumption growth and investment decisions

This research has compared three different market mechanisms in a quantitative way. The influences of these market mechanisms on the heating system were investigated for CO2 emissions, consumer price and producer surplus. In addition, the influences of investment decisions and price and consumption growth scenarios were tested. The research...

STEREOID Data Processor: Design and Performance Analysis

Stereo Thermo-Optically Enhanced Radar for Earth, Ocean, Ice, and land Dynamics (STEREOID) is one of the candidates of the ESA (European Space Agency) , Earth Explorer 10 missions. The novel constellation system will consist of the active Sentinel-1 satellites and two passive spacecrafts, which can provide flexible baseline configurations. The...

Learning Interactively to Resolve Ambiguity in Sensor Policy Fusion for Robot

This work applies interactive imitation learning for the navigation of a mobile robot. The algorithm"Learning Interactively to Resolve Ambiguity in Sensor Policy Fusion" (LIRA-SPF) is introduced in the field of machine learning for robot navigation. This algorithm extends on existing methods by allowing the ambiguity-free fusion of existing...

Cross-layer Optimization of MAC Scheduling for Multi-User Virtual Reality over 5G

As a result of a global pandemic, there has been an increasing interest in tools for remote video conferencing and collaboration. One of these new innovations is social eXtended Reality (XR). By combining Virtual Reality (VR) and Augmented Reality (AR) technologies, social XR can provide a more immersive experience than any other VR application...

Biophysical mechanisms responsible for ultrasound neuromodulation in bilayer lipid membranes: Enabling the research that uncovers the mysterious interactions between ultrasound and neurons

Medical technology has seen great progress over the last centuries, developing increasingly more specialised therapy to benefit human health. The rise of the pharmaceutical industry and the research it drives are contributors to this success. However, in humanity's attempt to tackle more and more complex health issues, the conventional methods...

Multi-Modal End-to-End Learning for Real-Time Monitoring of Sustainable Energy Systems

The growth of renewable energy technologies is leading to energy systems that are more reliant than ever on renewables such as Wind and Photovoltaic (PV) power. Despite their benefits in terms of sustainability, their ubiquity poses challenges in maintaining grid stability given their intermittency, emphasising the prediction of power...

End-to-End model for free-space-optical Air-to-Space communication services

FSO satellite communication enables data transfer at high bandwidths, low latency, and high security. Due to these benefits, FSO communication services with satellite constellations can hugely improve global connectivity and bandwidth, while maintaining sufficient security. Modeling a global FSO satellite communication service is beneficial for...

Small end-to-end OCR model

Optical Character Recognition (OCR) is a pivotal technology used to extract text information from images, finding wide-ranging applications in document digitization and medical records management. The integration of machine learning has ushered in an era of swift and precise OCR models. Broadly, OCR comprises two key components: detecting the...