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251 to 260 of 55,909 Results
Prediction_of_RF_approaches_in_360_700K.xlsx
Apr 26, 2026 - Optimizing Machine Learning Approaches to Explore Binary Metallic Alloys for Active Cooling Applications
MS Excel Spreadsheet - 23.5 KB - MD5: 0c33b68dfa5d8660ce871b531eb37b1f
Validation_Set_RF_predictions
Prediction_of_RF_approaches_in_700_1000K.xlsx
Apr 26, 2026 - Optimizing Machine Learning Approaches to Explore Binary Metallic Alloys for Active Cooling Applications
MS Excel Spreadsheet - 16.9 KB - MD5: a8dcf3cd6173bea2c3372d195523e9fa
Validation_Set_RF_predictions
rf_all_temp_bin_sign_hyperparams_new_approach_3.xlsx
Apr 26, 2026 - Optimizing Machine Learning Approaches to Explore Binary Metallic Alloys for Active Cooling Applications
MS Excel Spreadsheet - 20.5 KB - MD5: 58583afa48bb9a9ba7a58ec7f96b8ee4
rf_bootstrap_negative_hyperparams_Approach_2.xlsx
Apr 26, 2026 - Optimizing Machine Learning Approaches to Explore Binary Metallic Alloys for Active Cooling Applications
MS Excel Spreadsheet - 7.3 KB - MD5: 5b5f121c7ae354cc997af54eabf1ea04
rf_bootstrap_positive_hyperparams_Approach_2.xlsx
Apr 26, 2026 - Optimizing Machine Learning Approaches to Explore Binary Metallic Alloys for Active Cooling Applications
MS Excel Spreadsheet - 7.3 KB - MD5: 6ed6403ff4c6c316b19df64e1e1fb672
rf_hyperparameters_Approach_1.xlsx
Apr 26, 2026 - Optimizing Machine Learning Approaches to Explore Binary Metallic Alloys for Active Cooling Applications
MS Excel Spreadsheet - 13.4 KB - MD5: 6366bf44fedb04c6ff33858a4a43497f
Validation_set.xlsx
Apr 26, 2026 - Optimizing Machine Learning Approaches to Explore Binary Metallic Alloys for Active Cooling Applications
MS Excel Spreadsheet - 111.8 KB - MD5: 6ed3c19f22a1d3631c1ff302356c986b
Validation_set
A global dataset of household-level water, sanitation, and hygiene (WASH) predicted conditions
Apr 22, 2026 - School of Engineering and Applied Science
Fang, Bin, 2026, "A global dataset of household-level water, sanitation, and hygiene (WASH) predicted conditions", https://doi.org/10.18130/V3/O58DEE, University of Virginia Dataverse, V3
The dataset includes GeoTIFF raster layers representing the predicted probability of each ordinal class. Files are named using a standardized convention that encodes the WASH component and ordinal class name.
hygiene_prob_Hwash_Bas.tif
Apr 22, 2026 - A global dataset of household-level water, sanitation, and hygiene (WASH) predicted conditions
TIFF Image - 13.3 MB - MD5: 6d840bde5d48195e80bf31c5905fb1ee
hygiene_prob_Hwash_Lim.tif
Apr 22, 2026 - A global dataset of household-level water, sanitation, and hygiene (WASH) predicted conditions
TIFF Image - 13.4 MB - MD5: a39ef7b3c67f000f93b317815d18b2b1
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