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Now showing items 1521-1526 of 1526
b_verify : scalable non-equivocation for verifiable management of data
(Massachusetts Institute of Technology, 2018)
Equivocation allows attackers to present inconsistent data to users. This is not just a problem for Internet applications: the global economy relies heavily on verifiable and transferable records of property, liens, and ...
Single molecule detection and classification using nanogaps
(Massachusetts Institute of Technology, 2021)
Finding life beyond Earth has been a major focus of space exploration since the dawn of the space age. There have been a number of instruments developed for the purposes of life detection, but there are lmited options for ...
Parallel five-cycle counting algorithms
(Massachusetts Institute of Technology, 2020)
The frequency of given subgraphs in large graphs interests many research communities that use graphs to represent their data. However, subgraph counting is a challenging problem even with subgraph sizes as small as five ...
Interactive visualization and discovery of possible transmission routes of Clostridioides difficile
(Massachusetts Institute of Technology, 2020)
In the medical setting, prevention of healthcare-acquired infections (HAIs) is an important area of research in order to mitigate extraneous complications and medical costs. In the United States alone, infections caused ...
Agent monitoring and mouse interactivity in StarLogo Nova
(Massachusetts Institute of Technology, 2019)
StarLogo Nova is a powerful programming environment that allows anyone to easily create a 3D simulation and 3D game using block-based programming language. Due to its intuitive interface and ability to model complex systems, ...
Optimizing a deep learning approach for automatic segmentations for white matter lesions
(Massachusetts Institute of Technology, 2020)
White matter lesion detection in the brain is crucial in diagnosing cerebral adrenoleukodystrophy early in order for life-saving therapies to be as effective as possible. To assist doctors in this early diagnosis, I developed ...