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Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.08.037
Abstract: Abstract Human activity prediction aims to recognize an unfinished activity with limited appearance and motion information. In this paper, we propose to predict an incomplete activity by combining the mid-level action units and the discriminative…
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Keywords:
action units;
frame;
human activity;
activity prediction ... See more keywords
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Published in 2021 at "Expert Opinion on Drug Discovery"
DOI: 10.1080/17460441.2021.1901685
Abstract: ABSTRACT Introduction Artificial intelligence (AI) has seen a massive resurgence in recent years with wide successes in computer vision, natural language processing, and games. The similar creation of robust and accurate AI models for ADME/Tox…
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Keywords:
drug;
activity prediction;
drug discovery;
tox endpoint ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3157726
Abstract: In this paper, we propose a unified deep learning model for monitoring elderly in execution of daily life activities such as eating, sleeping or taking medication. The proposed approach consists of three stages which are…
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Keywords:
activity prediction;
next activity;
anomaly detection;
recognition anomaly ... See more keywords
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Published in 2020 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2019.2959791
Abstract: Recent emergence of “microblogging” services has been driving cyber-physical social system (CPSS) as a hot topic in real-world applications. How to efficiently detect and recognise spam and fake accounts becomes an important task where it…
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Keywords:
activity prediction;
cyber physical;
activity;
model ... See more keywords