Datasets

subject: Machine Learning date: 2022

Total is 4 Results
A Machine Learning Approach to Design of Aperiodic, Clustered-Dot Halftone Screens via Direct Binary Search

10.4231/AMGQ-0T59

Itamar Roth , Jan Allebach , Jiayin Liu ORCID logo , Orel Bat Mor , Oren Haik , Shani Gat , Tal Frank , Yitzhak Yitzhaky

06/01/2022

This dataset contains two parts: one has halftone patches that were used to predicts the quality level and scale using machine learning methods. The second part contains full versions of halftone images so viewers can zoom in to see the details.

direct binary search Electrical and Computer Engineering Halftone screen Machine Learning

Data for Characterization of Acoustic Emissions from Analogue Rocks using Sparse Regression-DMDc

10.4231/4K64-4818

Charles Fieseler , Chven Mitchell , Laura J Pyrak-Nolte ORCID logo , Nathan Kutz

06/14/2022

Acoustic waveforms collected during the monitoring of moisture loss in synthetic rock samples composed of mortar, and mortar with either distributed clay or localized clay, under ambient laboratory conditions.

acoustic signals clay cracking Fractures Machine Learning Physics

Multi-Species Prediction of Physiological Traits with Hyper-Spectral Modeling

10.4231/FPHP-0153

Meng-yang Lin , Mitchell R Tuinstra ORCID logo

02/11/2022

High-throughput hyperspectral imaging in corn and sorghum can be used in multi-species models to predict water and nitrogen status of plants within and across these crop species.

Abiotic stress Agronomy Corn Ecophysiology High-throughput Phenotyping Machine Learning nitrogen content partial least square regression relative water content Remote Sensing Sorghum

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