As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
This study develops a spatial "source-flow-use" accounting framework to quantify the supply and allocation of high-quality water resources (HQWRs) from ecological conservation areas. Using a national ...
Retired, Institute of Professional Geologists, San Antonio, USA. From the late 1960s through approximately 1991, the Nebraska Department of Environment and Energy (NDEE) and its predecessors, the ...
Abstract: Learning-based distribution system state estimation (DSSE) methods typically depend on sufficient fully labeled data to construct mapping functions. However, collecting historical labels ...
Training healthcare students on topics of psychiatry and mental health is challenging because, besides scientific knowledge, addressing attitudes towards mental health is equally important. In this ...
AI optimizes chromatography by enhancing method development, peak detection, and data interpretation, leveraging large datasets for improved accuracy and efficiency. ML models surpass traditional ...
What if you could transform the way you analyze data in just 12 minutes? Picture this: a mountain of raw numbers and spreadsheets that once felt overwhelming now becomes a treasure trove of actionable ...
For years, the United States labor market has been undergoing a structural transformation. As jobs in manufacturing have receded, slowly but steadily, the health care industry has more than replaced ...
Have you ever felt like your Excel skills hit a ceiling, no matter how many pivot tables you create? You’re not alone. While standard pivot tables are a reliable tool for summarizing data, they often ...
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