MACHINE LEARNING (AI) ANALYZES FOR MULTIPLE USE IN LARGE DATA GATHERING AND ANALYZES

Our final product/tool will allow the user to import vast amount of high-resolution 2D digital images and render each of the object picture in 3D to capture specific features for future analyses. The scaled 3D rendered remains will also provide a first point of clustering and the identification of outlier specimens. Furthermore, the high-resolution digital imaging not only constitute a dataset for use in TTC3, but will also be the basis for production of a color atlas of bone pathologies, trauma and taphonomic features.

COLLABORATION(S)

IN COLLABORATION WITH:

- Margaret Farmer, John Jay College of Criminal Justice

PUBLICATIONS

- Corthals, A., L. Davalos and J. Almeida. 2017. DANTe Datascape analysis and Navigation Tools: a GeneLab Data Mining, Aggregation and Machine-Learning Toolbox for the Next Generation of Space Biological Research - A PROPOSAL IN RESPONSE TO NASA RESEARCH ANNOUNCEMENT NNH16ZTT001N-GL

- 2021. Farmer M, Corthals A. A Structure-from-Motion Pipeline for Bone Morphology 3D Analysis. In: Ikram S, Kaiser J, Porcier S, eds. The Ancient Egyptians and the Natural World: Flora, Fauna, and Science. Sidestone Press; 2021.

Biomedical Informatics

Forensic

Biotech

This project aims to build a machine-learning software tool that will allow low-cost/high performance data collection and analyses.