1. Autofocus of phase-constrast images of yeast cells using machine learning Open Access Author: Yan, April Yujie Title: Autofocus of phase-constrast images of yeast cells using machine learning Area of Honors: Physics Keywords: machine learningimage processingconvolutional neural networkbiophysicsmicroscopic autofocusingcell imagingfocus measures File: Download Yujie_Yan_Thesis.pdf Thesis Supervisors: Lu Bai, Thesis SupervisorRichard Wallace Robinett, Thesis Honors Advisor
2. Addressing Overfitting Issues with Deep Learning Model for Video Action Recognition Open Access Author: Muralidhar, Shivran Title: Addressing Overfitting Issues with Deep Learning Model for Video Action Recognition Area of Honors: Computer Engineering Keywords: deep learningmachine learningvideo recognitioncomputer vision File: Download Muralidhar_Shivran_Addressing_Overfitting_Issues_with_Deep_Learning_Model.pdf Thesis Supervisors: Vijaykrishnan Narayanan, Thesis SupervisorVijaykrishnan Narayanan, Thesis Honors AdvisorJohn Morgan Sampson, Faculty Reader
3. A PLAN for Tackling the Locust Crisis in East Africa: Harnessing Spatiotemporal Deep Models for Locust Movement Forecasting Open Access Author: Gluck, Jared Paul Title: A PLAN for Tackling the Locust Crisis in East Africa: Harnessing Spatiotemporal Deep Models for Locust Movement Forecasting Area of Honors: Computer Science Keywords: aiai for social gooddeep learningmachine learninglocusts File: Download Gluck_Jared_thesis.pdf Thesis Supervisors: Amulya Yadav, Thesis SupervisorJesse Louis Barlow, Thesis Honors Advisor
4. using physics-informed generative adversarial networks to enhance multiphase fluid flow simulation Open Access Author: Li, Matthew Title: using physics-informed generative adversarial networks to enhance multiphase fluid flow simulation Area of Honors: Computer Science Keywords: machine learningdeep learningcomputational fluid dynamicscfdnovel methodphysics-informed neural network File: Download thesis_matthew_li.pdf Thesis Supervisors: Chris Mc Comb, Thesis SupervisorJesse Louis Barlow, Thesis Honors Advisor
5. A Hybrid Model of Convolutional Neural Network and Gradient Boosting Open Access Author: Huang, Ruijie Title: A Hybrid Model of Convolutional Neural Network and Gradient Boosting Area of Honors: Statistics Keywords: Image classificationmachine learningconvolutional neural networkgradient boostdata analysis File: Download HonorThesis_RuijieHuang_FinalVersion.pdf Thesis Supervisors: Prabhani Kuruppumullage Don, Thesis SupervisorEthan Xingyuan Fang, Thesis Honors Advisor
