Machine learning for shock compression of solids using scarce data
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Applied Physics"
DOI: 10.1063/5.0146296
Abstract: Data-driven machine learning techniques can be useful for the rapid evaluation of material properties in extreme environments, particularly in cases where direct access to the materials is not possible. Such problems occur in high-throughput material… read more here.
Keywords: machine; scarce data; shock compression; machine learning ... See more keywords
C2R: A Novel ANN Architecture for Boosting Indoor Positioning With Scarce Data
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2024.3420122
Abstract: Improving the performance of artificial neural network (ANN) regression models on small or scarce data sets, such as wireless network positioning data, can be realized by simplifying the task. One such approach includes implementing the… read more here.
Keywords: c2r novel; regression; model; scarce data ... See more keywords