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Published in 2021 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.0c01224
Abstract: The development of efficient models for predicting specific properties through machine learning is of great importance for the innovation of chemistry and material science. However, predicting global electronic structure properties like Frontier molecular orbital highest…
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Keywords:
attention neural;
neural network;
chemistry;
multilevel attention ... See more keywords
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Published in 2023 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2023.1053528
Abstract: Academia and business have shown an increased interest in using neurophysiological methods, such as eye-tracking and electroencephalography (EEG), to assess consumer motivation. The current research contributes to this literature by verifying whether these methods can…
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Keywords:
attention neural;
consumption;
water;
consumer ... See more keywords
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Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.48550/arxiv.2209.02048
Abstract: Airway segmentation is crucial for the examination, diagnosis, and prognosis of lung diseases, while its manual delineation is unduly burdensome. To alleviate this time-consuming and potentially subjective manual procedure, researchers have proposed methods to automatically…
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Keywords:
neural network;
attention neural;
airway segmentation;
attention ... See more keywords