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Published in 2023 at "Applied Stochastic Models in Business and Industry"
DOI: 10.1002/asmb.2769
Abstract: Autonomous vehicles are continually increasing their presence on public roads. However, before any new autonomous driving software can be approved, it must first undergo a rigorous assessment of driving quality. These quality evaluations typically focus…
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Keywords:
rate;
rate estimation;
estimation;
behavioral event ... See more keywords
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Published in 2018 at "Machine Vision and Applications"
DOI: 10.1007/s00138-018-0961-8
Abstract: In this paper, we propose a joint learning of spatio-temporal representation based on 3D deep convolutional neural network for simultaneous representation of appearance and motion information in 3D volumes which are extracted from the multiple…
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Keywords:
appearance;
event detection;
joint learning;
event ... See more keywords
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Published in 2019 at "Environmental Monitoring and Assessment"
DOI: 10.1007/s10661-019-7533-x
Abstract: An effective detection algorithm, supervising an online water system, is expected to monitor changes in water quality due to any contamination. However, contemporary event detection methods are often criticized for their high false detection rates…
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Keywords:
detection;
water;
event detection;
correlation ... See more keywords
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Published in 2019 at "Journal of Intelligent Information Systems"
DOI: 10.1007/s10844-019-00576-7
Abstract: With rapid and vast publishing of news over the Internet, there is a surge of interest to detect underlying hot events from online news streams. There are two main challenges in event detection: accuracy and…
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Keywords:
webkey graph;
news;
detection;
event detection ... See more keywords
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Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-5531-y
Abstract: How to detect bursty events in data streams on social media is a hot research topic in natural language processing. However, current methods for extracting bursty events suffer from poor accuracy and low efficiency. Fortunately,…
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Keywords:
event detection;
bursty events;
sentiment;
bursty event ... See more keywords
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Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-7083-1
Abstract: Most existing researches for semantic analysis of soccer videos benefit from special approaches to bridge the semantic gap between low-level features and high-level events using a hierarchical structure. In this paper, we propose a novel…
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Keywords:
soccer videos;
spatio temporal;
soccer;
event detection ... See more keywords
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Published in 2018 at "Applied Acoustics"
DOI: 10.1016/j.apacoust.2018.04.026
Abstract: Abstract The analysis of acoustic data typically discusses the problem of segmenting the acoustic events into non-overlapping acoustically compact categories. In Acoustic Event Detection (AED), an acoustic event is categorized into speech and non-speech events.…
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Keywords:
global statistical;
event detection;
acoustic event;
approach ... See more keywords
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Published in 2018 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2018.06.028
Abstract: Sleep apnea-hypopnea event detection has been widely studied using various biosignals and algorithms. However, most minute-by-minute analysis techniques have difficulty detecting accurate event start/end positions. Furthermore, they require hand-engineered feature extraction and selection processes. In…
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Keywords:
event;
apnea hypopnea;
event detection;
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Published in 2017 at "Control Engineering Practice"
DOI: 10.1016/j.conengprac.2016.09.013
Abstract: Abstract Acoustic Emission (AE) monitoring is a non-invasive method for determining the condition of Total Joint Replacement (TJR) implants. In this study, recordings from both in-vivo patient tests and in-vitro implant measurements are compared, with…
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Keywords:
detection hip;
event detection;
signal processing;
processing event ... See more keywords
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Published in 2019 at "Energy and Buildings"
DOI: 10.1016/j.enbuild.2019.01.036
Abstract: Abstract Monitoring the temporal changes in the operational states of appliances is a key step in inferring the dynamics of operations in smart homes. This information could be leveraged in a variety of energy management…
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Keywords:
operational states;
event detection;
self configuring;
event ... See more keywords
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Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.09.127
Abstract: Abstract Online social network applications such as Twitter, Weibo, have played an important role in people’s life. There exists tremendous information in the tweets. However, how to mine the tweets and get valuable information is…
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Keywords:
event detection;
based social;
event;
algorithm event ... See more keywords