Applied Math Capstone Projects
Parent: UC Merced
eScholarship stats: History by Item for June through September, 2026
| Item | Title | Total requests | 2026-09 | 2026-08 | 2026-07 | 2026-06 |
|---|---|---|---|---|---|---|
| 0w46t1q5 | A High-throughput Pipeline for the Analysis and Annotation of Sectored Yeast Colonies | 245 | 62 | 96 | 25 | 62 |
| 9mb6301d | Spatial Analysis of Preferential Spread Along Networks | 203 | 37 | 49 | 40 | 77 |
| 7rm9p3nv | Journey from 2D to 3D Biomedical Image Segmentation using Convolutional Neural Networks | 117 | 25 | 28 | 11 | 53 |
| 4d47s50w | Optimal Transport Driven Deep Learning with Emphasis on Pathology Images | 116 | 24 | 32 | 9 | 51 |
| 7cw1h3qn | Sparse Negative Binomial Signal Recovery for Genomic Variant Prediction in Diploid Species | 97 | 23 | 23 | 14 | 37 |
| 44d986jk | Analysis of Student Background and Identities at the University of California, Merced | 87 | 26 | 25 | 13 | 23 |
| 6kk7p8k5 | Merging Traditional Scientific Computing with Data Science to Develop New Class of Prediction Engines | 79 | 20 | 16 | 9 | 34 |
| 2p5386g5 | Mathematical Modeling and Parameter Estimation Uncovers the Role of TFPI in the Regulation of Factor Xa | 55 | 19 | 15 | 12 | 9 |
| 8sg0h3fw | Coupling Large Scale Wave (WaveWatch III) and Atmospheric (ERF) Simulations | 37 | 9 | 14 | 10 | 4 |
| 0kn7v749 | Computational Modeling of Folding and Misfolding Proteins | 36 | 12 | 16 | 4 | 4 |
| 9j62g5mv | Computational Modeling of Folding and Misfolding Proteins | 33 | 8 | 15 | 7 | 3 |
| 6hg2n1qk | IMAGING TARGETS OVER A ROUGH SURFACE USING THE METHOD OF FUNDAMENTAL SOLUTIONS | 30 | 8 | 14 | 6 | 2 |
| 21b5546f | Efficient Detection of Protein-Protein Interactions using Compressed Sensing Principles | 20 | 9 | 2 | 9 | |
| 0rf8b2wp | Applying Deep Learning Models for Colony and Leafhopper Egg Counting | 19 | 1 | 13 | 1 | 4 |
| 33d6x2rk | Synthetic Aperture Imaging and Spectroscopy of Extended Targets | 19 | 5 | 10 | 3 | 1 |
| 4q31z0jq | Journey from 2D to 3D Biomedical Image Segmentation using COnvolutional Neural Networks | 18 | 3 | 6 | 5 | 4 |
| 1s77m0rs | Estimating treatment sensitivity in synthetic and in vitro tumors using a random differential equation model | 17 | 10 | 3 | 4 | |
| 78s9z120 | Efficient Detection of Protein-Protein Interactions using Compressed Sensing Principles | 13 | 8 | 4 | 1 | |
| 0mt4n2gn | Dambreak Hydrodynamics of Bose-Einstein Condensates in Harmonic Confinement | 10 | 1 | 6 | 2 | 1 |
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