Search for tag: "classification"
Envisioning Automated Glaucoma Screening: Domain Generalization for Deep Learning-Based Glaucoma Classification, Hannah Ulman, UG '24 (B7A45C16)Rapid advancements in deep learning algorithms for computer vision tasks have produced powerful models that can accurately classify diseases from medical images across a variety of specialties. In…
From Research Princeton Research Day
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Analyzing How Neural Networks Manipulate the Shape of Data, Reuel Williams, UG '24 (9C22A282)Understanding the mathematical shape of data that neural networks learn from can provide valuable insights into their inner workings. In my senior thesis, I delve into this concept using a…
From Research Princeton Research Day
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How to identify the Export Control Classification Number (ECCN)The Export Control Classification Number (ECCN) is an alphanumeric designation used in the Commerce Control List (CCL) to identify (for export control purposes) commercial or certain military items…
From briantc Collins
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How to identify the Harmonized Tariff Schedule Number (HTS)Harmonized Tariff Schedule (HTS) codes are 10 digit codes used to track the goods being imported into the country. Each code describes a particular type of product, allowing the government to charge…
From briantc Collins
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How to identify the Schedule B numberA Schedule B number is an export code assigned by the U.S. Census Bureau to classify all exported physical products. This system is used to organize exports into general categories recognized…
From briantc Collins
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Making Models and Mining Mimics: Insights From Computer Vision Into How Biological Systems Solve Visual Problems, Yael Stochel, UG '22 (3965102)Heliconius butterflies, a genus of butterfly that lives in South America, exhibit Mullerian mimicry, a type of mimicry in which toxic unrelated species evolve to share warning signals to teach and…
From Research Princeton Research Day
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Turning Rocks into Kaleidoscopes, Devdigvijay Singh, UG '24 (3959058)Accurately assessing the shape, size, and modality of features in rock samples is a longstanding problem in geology. Recent advances in machine learning have made it possible to improve upon point…
From Research Princeton Research Day
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Robot Swarms for Surface Inspection Applications, Darren Chiu, UG '23 (3958946)Robotic swarm inspection offers a flexible, scalable, and cost-effective solution in comparison to human inspection such as the benefit of being resilient to individual failures and simplicity in…
From Research Princeton Research Day
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Early-life autism spectrum disorder diagnosis with nonlinear EEG analysis using machine learning methodsWith the increased prevalence of autism spectrum disorder (ASD) comes the challenge of identifying children at risk for ASD as early in life as possible so that they can benefit from early…
From Research Princeton Research Day
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