The revelation principle is a key tool in mechanism design. It allows the designer to restrict attention to the class of truthful mechanisms, greatly facilitating analysis. This is also borne out in an algorithmic sense, ...

With increasing prevalence and capabilities of Virtual Reality (VR) as a part of education, entertainment, data analysis and industrial applications, the consideration of constructing a more user-friendly virtual environment ...

Gallium-68 labeled compounds have shown an important role in PET imaging of detecting neuroendocrine tumors and prostate tumors. As the prostate exists near the bladder, image quality of prostate tumors can be challenged ...

Inference is the process of using facts we know to learn about facts we do not know. A theory of inference gives assumptions necessary to get from the former to the latter, along with a definition for and summary of the ...

Tobacco has been recognized as a serious public health issue that threatens people’s health in Palau, Micronesia, especially as young people consume tobacco in multiple ways. The research of this thesis begins with a description ...

Background: Routine immunization is the most effective way to prevent mortality from vaccine preventable diseases. Though vaccination coverage rates have improved over the past decade, vaccinations still fail to be delivered ...

Given their low operating costs and flight capabilities, Unmanned Aircraft Vehicles(UAVs), especially small size UAVs, have a wide range of applications, from civilian rescue missions to military surveillance. Easy control ...

Magnetic Resonance Imaging(MRI) is a non-invasive imaging modality and it does not use ionizing radiation. What is more, MRI provides numerous flexible contrast parameters. Thus, MRI is outstanding in many aspects than many ...

Background: Acutely painful conditions, responsible for a large proportion of Emergency Department patients around the world, are inadequately assessed and poorly treated. Routine use of scales to quantify pain is recommended ...

In this thesis, we propose a model-free reinforcement learning method to synthesize control policies for mobile robots modeled by Markov Decision Process (MDP) with unknown transition probabilities that satisfy Linear Temporal ...