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Generative Adversarial Networks Based Reconstruction and Restoration of Cultural Heritage
(Computing, 2019 , Master Thesis)
Cultural heritage takes an important part in defining the identity and the
history of a civilization or a nation. Valuing and preserving this heritage is thus a top
priority for governments and heritage institutions. ...
Application of Machine Learning Techniques for The Prediction of Decompressive Hemicraniectomy Prognosis in Acute Ischemic Stroke
(Computing, 2019 , Master Thesis)
Stroke is one of the leading causes of death in the world with the number of
people suffering from it increasing every year. Ischemic strokes, one of the two main
types of stroke, occur when blood clots block brain ...
Time-Aware Workload Charactrization And Prediction For Proactive Auto-Scaling Of Web Applications
(Computing, 2019 , Master Thesis)
Proactive auto-scaling techniques aim to predict the future workload of web
applications to provision the required resources, such as virtual machines (VMs), ahead
of time. Nevertheless, deciding the optimal number of ...
IOTA Viability In Healthcare Industry
(Computing, 2019 , Master Thesis)
The Internet of Things is a novel paradigm which involves the increasing prevalence of objects and entities supported with identifiers and the ability to exchange the data over a network. However, with all these advantages ...
Neuropathy Classification of Corneal Nerve Images Using Artificial Intelligence
(Computing, 2019 , Master Thesis)
Nerve variations in the human cornea have been associated with alterations in
the neuropathy state of a patient suffering from chronic diseases. For some diseases,
such as diabetes, detection of neuropathy prior to ...
QoE-Aware Resource Allocation For Crowdsourced Live Streaming: A Machine Learning Approach
(Computing, 2019 , Master Thesis)
In the last decade, empowered by the technological advancements of mobile devices
and the revolution of wireless mobile network access, the world has witnessed an
explosion in crowdsourced live streaming. Ensuring a ...
Differential Architecture Search in Deep Learning for DNA Splice Site Classification
(Computing, 2019 , Master Thesis)
The data explosion caused by unprecedented advancements in the field of genomics is constantly challenging the conventional methods used in the interpretation of the human genome. The demand for robust algorithms over the ...