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Rochester Institute of Technology

Theses/Dissertations

2023

Neural networks

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Text Restoration In Palimpsested Historical Manuscripts Using Deep Learning Methods, Anna Starynska Aug 2023

Text Restoration In Palimpsested Historical Manuscripts Using Deep Learning Methods, Anna Starynska

Theses

Historical palimpsests are manuscripts that have more than one layer of text, where the original text was erased, and subsequent layers overwritten. For many centuries, palimpsested text of ancient manuscripts was considered impossible to recover. Nowadays, with new technology, such as multispectral imaging, under some portion of electromagnetic spectrum illumination, the overwritten text can become visible again. This peculiar property of faded ink and some traditional signal processing methods had already helped recover text from numerous manuscripts. Nevertheless, even showing the best performance, existing methods can only enhance the visibility of the text but not eliminate the effects of occlusion …


Hardware Accelerators And Their Use In Computer Vision, Cameron Villone May 2023

Hardware Accelerators And Their Use In Computer Vision, Cameron Villone

Theses

The evolution of technology is impressive. Before digital, there was analog; before software, there needed hardware. This evolution is natural as we try and optimize technology for our needs. The shift to digital was fueled by the space saved from using digital systems compared to analog. When it came to software, the ability to use generic hardware in the forms of cen- tral processing units; CPUs, Graphics Processing Units; GPUs, and Random Access Memory; RAM allowed for complex software solutions to be able to run on many different devices with- out much need for translations. With software development getting so …


End-To-End Network Slicing Using Hypergraph Theory, Omar Abdul-Latif May 2023

End-To-End Network Slicing Using Hypergraph Theory, Omar Abdul-Latif

Theses

Network slicing is the practice of implementing multiple virtualized and independent architectures on a single physical network infrastructure, in a way that allows for multiplexing and efficient use of resources. Network slicing is based on the concept of network virtualization and, when it reaches maturity, is expected to result in complete softwarization of 5G, Beyond-5G (B5G) and 6G networks. This means that future networks will only need minimal physical infrastructure upgrades (mostly in the frontend of the network). Network slicing is identified as one of the key enablers of next generation wireless mobile networks due to its ability to multiplex …