Solving electromagnetic inverse scattering problems (ISPs) is challenging due to the intrinsic nonlinearity, ill-posedness, and expensive computational cost. Recently, deep neural network (DNN) techniques have been successfully applied on ISPs and shown potential of superior imaging over conventional methods. In this paper, we discuss techniques for effective incorporation of important physical ...

Kongsberg Satellite Services (KSAT) use machine learning and manual analysis done by synthetic aperture radar (SAR) specialists on SAR images in real time to provide a ship detection service. KSATs current machine learning model has a limited ability to distinguish ships close to each other. For this reason, we aim to employ an end-to-end trainable object detection model, as they can better ...

An emerging problem in systems security is controlling how a program uses the data it has access to. Information Flow Control (ifc) propagates restrictions on data by following the flow of information, for example if a secret value flows to a public value, that value should be considered secret as well. A common problem in ifc is reclassification of data, for instance to explicitly make data ...

Hearing loss, and assistive technologies to compensate for the loss, are becoming more and more regular. Hearing aids have improved the quality of life for many suffering from hearing loss but are still insufficient in some social settings. The café problem rises when there are a group of people talking in a relatively noisy environment where one person has hearing aids. Even with modern advancements, ...

Evidence shows lower physical activity (PA) levels in persons with an intellectual disability (ID) compared to the general population. Physical activity promotes multiple health benefits, such as prolonged life and reduced risk for obtaining various chronic diseases. There are numerous applications targeting increased physical activity for the general population, but these tend to be too complex to ...

Elite football today is infused with technologies for collecting data on players' performance and health. Technologies such as wearable health and fitness trackers, full-body medical scans, and positional systems mounted around a stadium give coaches a wide range of accurate data about their players. However, coaches do not have the time or ability to analyze all this data for each player to give ...

A Cochlear Implant(CI) is an implant that replaces the functionality of the inner ear with an electronic prosthesis. The prosthesis stimulates the auditory nerves within the cochlea so that people with auditory disabilities regain hearing. While the medical process of inserting the implant is relatively straightforward, learning how to use the implant may be difficult. This thesis proposes a ...

Scientific workflows have become a prevailing means of achieving significant scientific advances at an ever-increasing rate. Scheduling mechanisms and approaches are vital to automating these large-scale scientific workflows efficiently. On the other hand, with the advent of cloud computing and its easier availability and lower cost of use, more attention has been paid to the execution and scheduling ...

Local-first software is an attempt to use the benefits of cloud service while reducing its drawbacks. Local-first software gives the clients ownership and control of their data and makes the service always available. It is achieved by having the primary copy of the service at the client. The most common way to implement local-first software is by utilizing Conflict-free Replicated Datatypes or CRDTs, ...

The power system is undergoing a digitalization, decarbonization, and decentralization. Economic incentives along with resiliency and reliability concerns are partly driving the transition. In the process of decentralization, local energy markets are forming at various places. A virtual power plant (VPP) is a by-product of this digitalization capitalizing on the opportunity to further promote renewable ...