Search Data.gov
Found 13 dataset(s) matching "explainable AI".
-
We developed a suite of models using deep learning to make hindcast predictions of the 7-day average backward-looking nitrate concentration at 46 predominantly agricultural sites across the...
-
<div>Through DC Compass, residents can ask questions verbally or in writing, in the language with which they are most comfortable, and get faster and better cited answers than a whole team of data...
-
The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of...
-
Globally, lakes are losing ice cover, but our understanding of the rates and variability of change are biased towards few lakes with long-term records. Recent works have used remote sensing and...
-
The KAIROS Evaluation Software Suite was developed by NIST in support of evaluation of DARPA's Program on Knowledge Directed Artificial Intelligence Reasoning Over Schemas (KAIROS). Some of the...
-
Landscape carbon (C) flux estimates are necessary for assessing the ability of terrestrial ecosystems to buffer further increases in anthropogenic carbon dioxide (CO2) emissions. Advances in...
-
Artificial intelligence (AI) holds tremendous promise to benefit nearly all aspects of society, including the economy, healthcare, security, the law, transportation, even technology itself. On...
-
This model archive contains the input data, model code, and model outputs for machine learning models that predict daily non-tidal stream salinity (specific conductance) for a network of 459...
-
This model archive provides all data, code, and modeling results used in Barclay and others (2023) to assess the ability of process-guided deep learning stream temperature models to accurately...
-
This data release and model archive provides all data, code, and modelling results used in Topp et al. (2023) to examine the influence of deep learning architecture on generalizability when...
-
Salinity dynamics in the Delaware Bay estuary are a critical water quality concern as elevated salinity can damage infrastructure and threaten drinking water supplies. Current state-of-the-art...
-
Source code, documentation, and examples of use of the source code for the Dioptra Test Platform.Dioptra is a software test platform for assessing the trustworthy characteristics of artificial...
-
The Fish Detection AI project aims to improve the efficiency of fish monitoring around marine energy facilities to comply with regulatory requirements. Despite advancements in computer vision,...
