Neural MRI Decoding of Smell with Generative AI Masters of Science in Data Science Thesis Proposal
Also an oral presentation at symposium in Chicago, IL, November 2024.
School of Professional Studies, Northwestern University
Abstract
Olfaction (sense of smell) and related structural abnormalities in the olfactory bulbs are among the first observed symptoms corelated with Alzhiemer’s disease (Esiri and Wilcock 1984; Thomann et al. 2009). The functional relationship between olfaction and the olfactory bulbs is poorly understood (Weiss et al.
Image classification using neural networks with Python MNIST dataset This project utilizes the The Modified National Institute of Standards and Technology (MNIST) dataset which comprises of 60 thousand training observations and 10 thousand test observations of handwritten digits.
Due to the complexity of imaging data, connectionist network models or neural networks have been gaining significant interest in recent years. Python machine learning packages sklearn and keras have been especially useful for specifying neural network architectures.
What? In the world of web and desktop applications, frameworks for different software languages such as Rails for Ruby and Electron for JavaScript are popular. Analogous to Rails, Go uses the Wails framework and offers the benefits of Go’s reported processing speed. Wails also uses the native rendering engine unlike Electron which uses an embedded browser. Furthermore, Wails integrates user interface (UI) frameworks such as React, Vue and Svelte.
To demo Go’s frontend capabilities, two projects are implemented here using Wails and Svelte:
