default author photo

Yehuda Yungstein

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

3

DOWNLOADS

132

TOTAL CITATIONS

1

Scholarly Papers (3)

Actions:
Email selected abstracts
1.

VertINGreen: A practical application for planning and monitoring indoor vertical green living walls based on remote sensing and machine learning models

Number of pages: 31 Posted: 19 Jun 2025 Last Revised: 07 Sep 2025
Yehuda Yungstein and David Helman
affiliation not provided to SSRN and Hebrew University of Jerusalem - Faculty of Agricultural, Food and Environmental Quality Sciences
Downloads 56 (1,010,164)

Abstract:

Loading...

Vertical green walls, machine learning, Indoor Air Quality, hyperspectral imaging, environmental monitoring, green building technology

2.

Early Detection of Drought-Stressed Stands in Mediterranean Forests Using Remote Sensing and Machine Learning Classification Models in a Rainfall Exclusion Experiment

Number of pages: 31 Posted: 13 Jun 2025 Last Revised: 24 Oct 2025
Yehuda Yungstein, Netanel Fishman, Gil Lerner, Gabriel Mulero, Yaron Michael, Assaf Yaakobi, Sophie Obersteiner, Laura Rez, Tamir Klein and David Helman
affiliation not provided to SSRN, Hebrew University of Jerusalem - Robert H. Smith Faculty of Agriculture, The Hebrew University of Jerusalem, Hebrew University of Jerusalem - Faculty of Agricultural, Food and Environmental Quality Sciences, Hebrew University of Jerusalem - Faculty of Agricultural, Food and Environmental Quality Sciences, Weizmann Institute of Science - Faculty of Biochemistry, affiliation not provided to SSRN, Weizmann Institute of Science - Department of Earth and Planetary Sciences, Weizmann Institute of Science and Hebrew University of Jerusalem - Faculty of Agricultural, Food and Environmental Quality Sciences
Downloads 50 (1,097,529)

Abstract:

Loading...

Drought-risk, forest decline, Remote Sensing, Support Vector Machine, rain exclusion, VENµS

3.

OpenETE-ML: An Interactive No-Code Web Application for End-to-End Machine Learning in Scientific Research

Number of pages: 23 Posted: 29 Jul 2025 Last Revised: 24 Apr 2026
Yehuda Yungstein and David Helman
affiliation not provided to SSRN and Hebrew University of Jerusalem - Faculty of Agricultural, Food and Environmental Quality Sciences
Downloads 26 (1,372,601)
Citation 1

Abstract:

Loading...

Machine Learning, Web Application, open source, Tabular data, non-programmers