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Published in 2018 at "Applied Stochastic Models in Business and Industry"
DOI: 10.1002/asmb.2293
Abstract: This paper proposes a dynamic system, with an associated fusion learning inference procedure, to perform real-time detection and localization of nuclear sources using a network of mobile sensors. This is motivated by the need for…
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Keywords:
nuclear source;
detection;
system;
fusion ... See more keywords
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Published in 2018 at "Applied Intelligence"
DOI: 10.1007/s10489-018-1338-4
Abstract: Text detection & localization plays an essential role in finding the textual information from natural scene images that can be used in robot navigation, license plate detection, and wearable applications. In this work, we present…
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Keywords:
text awareness;
text;
detection localization;
text detection ... See more keywords
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Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-5061-7
Abstract: This paper presents a new method for detecting abnormal events in the surveillance systems. This method does not employ object detection or tracking and thus it does not fail in the crowded scenes. In the…
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Keywords:
detection;
anomaly detection;
scenes using;
crowded scenes ... See more keywords
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Published in 2020 at "European journal of radiology"
DOI: 10.1016/j.ejrad.2020.108925
Abstract: PURPOSE To evaluate a deep learning based image analysis software for the detection and localization of distal radius fractures. METHOD A deep learning system (DLS) was trained on 524 wrist radiographs (166 showing fractures). Performance…
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Keywords:
deep learning;
sensitivity;
localization distal;
performance ... See more keywords
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Published in 2018 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2018.09.688
Abstract: Abstract This paper focuses on the development of a method for damage detection and localization in pipeline structures. These structures are subject to variation of environmental and operational conditions (EOCs) which have an impact on…
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Keywords:
damage detection;
estimation;
pipeline;
damage ... See more keywords
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Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.02.045
Abstract: Abstract We propose a novel Gaussian kernel based integration model (GKIM) for anomalous entities detection and localization in pedestrian flows. The GKIM integrates spatio-temporal features for efficient and robust motion representation to capture the distinctive…
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Keywords:
detection;
localization pedestrian;
anomalous entities;
entities detection ... See more keywords
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Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.08.044
Abstract: Abstract In this paper, we present a novel deep learning based method for video anomaly detection and localization. The key idea of our approach is that the latent space representations of normal samples are trained…
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Keywords:
multivariate gaussian;
video;
detection;
video anomaly ... See more keywords
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Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.11.087
Abstract: Abstract In this paper, a weakly supervised framework is proposed for Abnormal Behavior Detection and Localization (ABDL) in the scenes. First, the objects in the scene such as pedestrians, vehicles, etc. are detected using the…
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Keywords:
abnormal behavior;
weakly supervised;
framework;
behavior detection ... See more keywords
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Published in 2021 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2020.107254
Abstract: Abstract This paper introduces a novel approach to crack detection and localization in a pipeline transporting fluid under high pressure. From acoustic emission signals acquired by two R15i-AST sensors at two ends of a fluid…
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Keywords:
pipeline;
emission;
detection localization;
acoustic emission ... See more keywords
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Published in 2020 at "Journal of Infrastructure Systems"
DOI: 10.1061/(asce)is.1943-555x.0000553
Abstract: AbstractIn recent decades, closed circuit television (CCTV) has been the most used tool for visually inspecting the internal condition of pipelines. However, CCTV inspection requires long videos to...
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Keywords:
automated anomaly;
anomaly detection;
sewer inspection;
detection localization ... See more keywords
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Published in 2020 at "Iete Journal of Research"
DOI: 10.1080/03772063.2020.1772127
Abstract: Power consumption issues in VLSI circuits have resulted in the emergence of promising technologies – like reversible computing. The introduction of such computing paradigm has turned out to be bene...
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Keywords:
localization missing;
approach detection;
missing gate;
faults reversible ... See more keywords