Pages that link to "Item:Q45660"
From geokb
The following pages link to Jacob DeAngelo (Q45660):
Displayed 27 items.
- Detrending Great Basin elevation to identify structural patterns for identifying geothermal favorability (Q255077) (← links)
- When less is more: How increasing the complexity of machine learning strategies for geothermal energy assessments may not lead toward better estimates (Q255821) (← links)
- Machine learning for natural resource assessment: An application to the blind geothermal systems of Nevada (Q256943) (← links)
- Geothermal Play Fairway Analysis, Part 2: GIS methodology (Q271415) (← links)
- Don’t Let Negatives Hold You Back: Accounting for Underlying Physics and Natural Distributions of Hydrothermal Systems When Selecting Negative Training Sites Leads to Better Machine Learning Predictions (Q276858) (← links)
- Geothermal play fairway analysis, part 1: Example from the Snake River Plain, Idaho (Q278031) (← links)
- Play fairway analysis in geothermal exploration: The Snake River plain volcanic province (Q282213) (← links)
- Updated three-dimensional temperature maps for the Great Basin, USA (Q284806) (← links)
- Exploratory analysis of machine learning techniques in the Nevada geothermal play fairway analysis (Q290447) (← links)
- Predicting geothermal favorability in the western United States by using machine learning: Addressing challenges and developing solutions (Q292911) (← links)
- Predicting large hydrothermal systems (Q299337) (← links)
- New maps of conductive heat flow in the Great Basin, USA: Separating conductive and convective influences (Q314384) (← links)
- Cursed? Why one does not simply add new data sets to supervised geothermal machine learning models (Q314495) (← links)
- Three-dimensional temperature model of the Great Basin, USA (Q319125) (← links)
- Identified Moderate and High Temperature Geothermal Systems (Q319191) (← links)
- Snake River Plain Play Fairway Analysis Phase 2 Favorability Model (DE EE0006733) (Q320135) (← links)
- Snake River Plain Play Fairway Analysis Phase 1 Favorability Model (DE EE0006733) (Q320136) (← links)
- Maps of elevation trend and detrended elevation for the Great Basin, USA (Q320716) (← links)
- Heat flow maps and supporting data for the Great Basin, USA (Q324667) (← links)
- Geothermal resource favorability: select features and predictions for the western United States curated for DOI 10.1016/j.geothermics.2023.102662 (Q324682) (← links)
- Geophysical characterization of geothermal resources on the Umatilla Indian Reservation in northeast Oregon (Q326549) (← links)
- Digital data from USGS OFR 83-250: Selected data for low-temperature (less than 90 degrees C) geothermal systems in the United States; reference data for U.S. Geological Survey Circular 892 (Q326722) (← links)
- USGS Contributions to the Nevada Geothermal Machine Learning Project (DE-FOA-0001956): Slip and Dilation Tendency Data (Q326723) (← links)
- USGS Contributions to the Nevada Geothermal Machine Learning Project (DE-FOA-0001956): Heat Flow Data (Q326724) (← links)
- USGS Contributions to the Nevada Geothermal Machine Learning Project (DE-FOA-0001956): Geophysics Data (Q326725) (← links)
- USGS Contributions to the Nevada Geothermal Machine Learning Project (DE-FOA-0001956): Geophysics, Heat Flow, Slip and Dilation Tendency (Q326726) (← links)
- Geothermal Favorability Map Derived From Logistic Regression Models (favorabilitysurface.zip) (Q336347) (← links)
