SANDIA, Part III: AI Analysis

TL;DR: In this project, we systematically measure watermelons using 38 different parameters in an effort to predict watermelon sweetness based on its externally measurable characteristics. Generally speaking, the metrics may be grouped as follows: Color: Coloration on...

SANDIA, Part II: Conventional Analysis

TL;DR: In this project, we systematically measure watermelons using 38 different parameters in an effort to predict watermelon sweetness based on its externally measurable characteristics. Generally speaking, the metrics may be grouped as follows: Color: Coloration on...

SANDIA, Part 1: Data Collection

UNDER CONSTRUCTION (10/15/26) TL;DR: In this project, I systematically measure watermelons using 38 different parameters in an effort to predict watermelon sweetness based on its externally measurable characteristics. Generally speaking, the metrics may be grouped as...

SANDIA, Part 0: Introduction

TL;DR: In this project, I systematically measure watermelons using 38 different parameters in an effort to predict watermelon sweetness based on its externally measurable characteristics. Generally speaking, the metrics may be grouped as follows: Basic: Date,...
OCS: Converting images to text

OCS: Converting images to text

So, how do we convert a physical book to its equivalent text document? The document In 2003, my distant relative, Stanley E. Perry, published his autobiography titled, “A Yank and the Australian 9th: Surviving Washing Machine Charlie.” To my knowledge,...
Airfoil Surrogate Modeling

Airfoil Surrogate Modeling

TL;DR: Modeling airfoil efficiency typically relies on high-fidelity computational fluid dynamics (CFD) to accurately simulate air traversing the surfaces of a wing. But creating, testing, and analyzing data from an airfoil experiment can be even more resource...