Chiller fault detection and diagnosis with anomaly detective generative adversarial network
Sign Up to like & getrecommendations! Published in 2021 at "Building and Environment"
DOI: 10.1016/j.buildenv.2021.107982
Abstract: Abstract Data augmentation is one of the necessary steps in the process of automated data-driven fault detection and diagnosis (FDD) for chillers, while real-world operational training samples are usually imbalanced. Faulty data samples are usually… read more here.
Keywords: detection diagnosis; generative adversarial; data samples; fault detection ... See more keywords
Similarity-Based Virtual Screen Using Enhanced Siamese Deep Learning Methods
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DOI: 10.1021/acsomega.1c04587
Abstract: Traditional drug production is a long and complex process that leads to new drug production. The virtual screening technique is a computational method that allows chemical compounds to be screened at an acceptable time and… read more here.
Keywords: molecules structurally; deep learning; data samples; structurally heterogeneous ... See more keywords
Nonlinear Discrete Hashing
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DOI: 10.1109/tmm.2016.2620604
Abstract: In this paper, we propose a nonlinear discrete hashing approach to learn compact binary codes for scalable image search. Instead of seeking a single linear projection in most existing hashing methods, we pursue a multilayer… read more here.
Keywords: data samples; nonlinear discrete; binary codes; error ... See more keywords
To use or not to use? an ethical analysis of access to data and samples of a deceased patient for genetic diagnostic and research purposes
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Medical Ethics and History of Medicine"
DOI: 10.18502/jmehm.v15i13.11569
Abstract: Using genetic tests on deceased patients’ samples for diagnostic purposes affects the family members' health and lives but raises some ethical issues in today’s practice of medicine and research. In this paper, we address a… read more here.
Keywords: deceased patient; analysis; case; data samples ... See more keywords