Scalable deep learning to identify brick kilns and aid regulatory capacity
Sign Up to like & getrecommendations! Published in 2021 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2018863118
Abstract: Significance Monitoring compliance with environmental regulations is a global challenge. It is particularly difficult for governments in low-income countries, where informal industry is responsible for a large amount of pollution, because the governments lack the… read more here.
Keywords: brick; scalable deep; approach; brick kilns ... See more keywords
Scalable deep text comprehension for Cancer surveillance on high-performance computing
Sign Up to like & getrecommendations! Published in 2018 at "BMC Bioinformatics"
DOI: 10.1186/s12859-018-2511-9
Abstract: BackgroundDeep Learning (DL) has advanced the state-of-the-art capabilities in bioinformatics applications which has resulted in trends of increasingly sophisticated and computationally demanding models trained by larger and larger data sets. This vastly increased computational demand… read more here.
Keywords: performance computing; data parallelism; scalable deep; cancer ... See more keywords
Content-Aware Scalable Deep Compressed Sensing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.48550/arxiv.2207.09313
Abstract: To more efficiently address image compressed sensing (CS) problems, we present a novel content-aware scalable network dubbed CASNet which collectively achieves adaptive sampling rate allocation, fine granular scalability and high-quality reconstruction. We first adopt a… read more here.
Keywords: content aware; aware scalable; compressed sensing; scalable deep ... See more keywords