Articles with "automatic identification" as a keyword



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Imaging sebaceous gland using optical coherence tomography with deep learning assisted automatic identification.

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Published in 2021 at "Journal of biophotonics"

DOI: 10.1002/jbio.202100015

Abstract: Imaging sebaceous glands and evaluating morphometric parameters are important for diagnosis and treatment of serum problems. In this paper, we investigate the feasibility of high-resolution optical coherence tomography (OCT) in combination with deep learning assisted… read more here.

Keywords: sebaceous gland; automatic identification; deep learning; gland ... See more keywords
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Automatic identification of atypical clinical fMRI results

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Published in 2020 at "Neuroradiology"

DOI: 10.1007/s00234-020-02510-z

Abstract: Functional MRI is not routinely used for neurosurgical planning despite potential important advantages, due to difficulty of determining quality. We introduce a novel method for objective evaluation of fMRI scan quality, based on activation maps.… read more here.

Keywords: fmri; identification atypical; automatic identification; clinical fmri ... See more keywords

Adaptive artificial intelligence for automatic identification of defect in the angular contact bearing

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Published in 2017 at "Neural Computing and Applications"

DOI: 10.1007/s00521-017-3123-4

Abstract: A reliable process making use of adaptive filtering, adaptive wavelet transform (AWT) and adaptive neuro-fuzzy inference system (ANFIS) is proposed for automatic identification of defect in the bearing. The process starts with denoising the signal… read more here.

Keywords: awt scalogram; identification defect; automatic identification; defect ... See more keywords
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Automatic Identification of Excavator Activities Using Joystick Signals

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Published in 2019 at "International Journal of Precision Engineering and Manufacturing"

DOI: 10.1007/s12541-019-00219-5

Abstract: Monitoring and analyzing the operations of construction equipment is critical in the construction engineering and management domain. The ability to detect and classify major activities that construction equipment performs can support a project manager in… read more here.

Keywords: automatic identification; joystick signals; construction equipment; identification ... See more keywords
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Automatic identification of modal parameters for structures based on an uncertainty diagram and a convolutional neural network

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Published in 2020 at "Structures"

DOI: 10.1016/j.istruc.2020.08.077

Abstract: Abstract A novel method for automatic identification of structural modal parameters is proposed, based on new developments in both uncertainty quantification for stochastic subspace identification and deep learning. An uncertainty diagram is first constructed to… read more here.

Keywords: uncertainty diagram; uncertainty; automatic identification; modal parameters ... See more keywords
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TCT-465 Automatic Identification and Quantification of the Mitral Annulus for Consistent TMVR Planning: A Preliminary Study

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Published in 2019 at "Journal of the American College of Cardiology"

DOI: 10.1016/j.jacc.2019.08.556

Abstract: The accurate delineation of the mitral annulus is crucial for an adequate transcatheter mitral valve replacement planning. However, its manual annotation is prone to inconsistencies and interoperator variability associated with variations in the operators’ expertise,… read more here.

Keywords: planning; tct 465; automatic identification; mitral annulus ... See more keywords
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A hybrid approach to automatic de-identification of psychiatric notes.

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Published in 2017 at "Journal of biomedical informatics"

DOI: 10.1016/j.jbi.2017.06.006

Abstract: De-identification, or identifying and removing protected health information (PHI) from clinical data, is a critical step in making clinical data available for clinical applications and research. This paper presents a natural language processing system for… read more here.

Keywords: psychiatric notes; system; identification psychiatric; automatic identification ... See more keywords
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Ship encounter azimuth map division based on automatic identification system data and support vector classification

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Published in 2020 at "Ocean Engineering"

DOI: 10.1016/j.oceaneng.2020.107636

Abstract: Abstract Currently, the division of encounter situations and collision avoidance decisions both depend on the individual subjective judgment of officers under conditions of extraordinary complexity and randomness. Ambiguities and contradictions are present among the existing… read more here.

Keywords: ship encounter; azimuth; division; automatic identification ... See more keywords
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Automatic Identification of Lansoprazole Degradants under Stress Conditions by LC-HRMS with MassChemSite and WebChembase

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Published in 2021 at "Journal of chemical information and modeling"

DOI: 10.1021/acs.jcim.1c00226

Abstract: Stress testing is one of the most important parts of the drug development process, helping to foresee stability problems and to identify degradation products. One of the processes involving stress testing is represented by forced… read more here.

Keywords: degradation; stress conditions; automatic identification; lansoprazole degradants ... See more keywords
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Estimation of surface-based duct parameters from automatic identification system using the Levy flight quantum-behaved particle swarm optimization algorithm

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Published in 2019 at "Journal of Electromagnetic Waves and Applications"

DOI: 10.1080/09205071.2018.1560365

Abstract: Abstract Atmospheric duct propagation has a significant influence on the performance of wireless communication and radar systems in the maritime environment that makes it essential to master the detailed knowledge of the atmospheric refractivity profile.… read more here.

Keywords: estimation; identification system; automatic identification; levy flight ... See more keywords
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Automatic Identification Method of HPLC Platform Topology Based on Characteristic Data Extraction

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Published in 2023 at "Electric Power Components and Systems"

DOI: 10.1080/15325008.2023.2196682

Abstract: Abstract The topological structure of distribution network system is complex, and the operation state changes frequently, so the obtained distribution network topological information has a high error. Therefore, this article proposes a clustering feature extraction… read more here.

Keywords: topology; extraction; identification method; method hplc ... See more keywords