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Learning Representations Using Reinforcement Learning
(2019-05-09)
The framework of reinforcement learning is a powerful suite of algorithms that can learn generalized solutions to complex decision making problems. However, the applications of reinforcement learning algorithms to traditional ...
DEVELOPMENT AND APPLICATIONS OF A MULTI-FUNCTIONAL POSITRON BEAM FOR SPECTROSCOPIES OF SURFACES AND INTERFACES
(2019-09-03)
This dissertation describes the construction of a multi-functional positron beam and the methods employed for the analysis of digitized data produced by electron time-of-flight and gamma spectrometers. The positron beam ...
A TWO STAGE EVENT BASED DATA DRIVEN CONTROLLER FOR IMPROVED GRASPING OF AN ARTIFICIAL HAND
(2019-07-09)
The human hand is one of the greatest (if not the greatest) tool known to mankind for grasping objects. So much so, that researchers have been investigating the development of artificial biomimetic hands in an effort to ...
Assessing the impact of Principal Component Analysis on accurately predicting melanoma diagnosis applied on different classification models
(2019-11-26)
With huge amounts of data at our disposal in the medical field, mathematical models are built to diagnose diseases. This study focuses on melanoma because it’s the type of skin cancer that accounts for most deaths, up to ...