Articles with "pattern detection" as a keyword



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Classifying papers into subfields using Abstracts, Titles, Keywords and KeyWords Plus through pattern detection and optimization procedures: An application in Physics

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Published in 2022 at "Journal of the Association for Information Science and Technology"

DOI: 10.1002/asi.24655

Abstract: Classifying papers according to the fields of knowledge is critical to clearly understand the dynamics of scientific (sub)fields, their leading questions, and trends. Most studies rely on journal categories defined by popular databases such as… read more here.

Keywords: pattern detection; physics; classifying papers; optimization procedures ... See more keywords
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T-pattern detection and analysis for the discovery of hidden features of behaviour

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Published in 2018 at "Journal of Neuroscience Methods"

DOI: 10.1016/j.jneumeth.2018.06.013

Abstract: BACKGROUND The behaviour of all living beings consists of hidden patterns in time; consequently, its nature and its underlying dynamics are intrinsically difficult to be perceived and detected by the unaided observer. METHOD Such a… read more here.

Keywords: detection; pattern detection; analysis; discovery hidden ... See more keywords
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Enhancing Investigative Pattern Detection via Inexact Matching and Graph Databases

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Published in 2022 at "IEEE Transactions on Services Computing"

DOI: 10.1109/tsc.2021.3073145

Abstract: Tracking individuals or groups based on their hidden and/or emergent behaviors is an indispensable task in homeland security, mental health evaluation, and consumer analytics. On-line and off-line communication patterns, behavior profiles and social relationships form… read more here.

Keywords: investigative pattern; pattern detection; graph databases; enhancing investigative ... See more keywords
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Quantitative method for gait pattern detection based on fiber Bragg grating sensors

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Published in 2017 at "Journal of Biomedical Optics"

DOI: 10.1117/1.jbo.22.3.037005

Abstract: Abstract. This paper presents a method that uses fiber Bragg grating (FBG) sensors to distinguish the temporal gait patterns in gait cycles. Unlike most conventional methods that focus on electronic sensors to collect those physical… read more here.

Keywords: detection; pattern detection; fbg sensors; method ... See more keywords
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A traffic pattern detection algorithm based on multimodal sensing

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Published in 2018 at "International Journal of Distributed Sensor Networks"

DOI: 10.1177/1550147718807832

Abstract: Nowadays, smartphones are widely and frequently used in people’s daily lives for their powerful functions, which generate an enormous amount of data accordingly. The large volume and various types of data make it possible to… read more here.

Keywords: transportation; detection; pattern detection; detection algorithm ... See more keywords
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New insights into the behavioral structure of Pikler educators: An application of T-pattern detection and analysis with THEME

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Published in 2023 at "Frontiers in Psychology"

DOI: 10.3389/fpsyg.2023.1081785

Abstract: Introduction The recent generalization of early childhood schooling has given rise to a need for the development of rigorous, specific training programs aimed at early education professionals (0–3 years of age). This work emanates from… read more here.

Keywords: pattern detection; methodology; education; detection analysis ... See more keywords
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T-pattern detection in the scientific literature of this century: A systematic review

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Published in 2023 at "Frontiers in Psychology"

DOI: 10.3389/fpsyg.2023.1085980

Abstract: Introduction Scientific literature contains mainly systematic reviews focused on substantial aspects, but there are also approaches that have combined both substantial and methodological aspects, which is our preferred option since it undeniably adds value. The… read more here.

Keywords: scientific literature; pattern detection; methodology; systematic review ... See more keywords
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Partial Discharge Detection Based on Anomaly Pattern Detection

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Published in 2020 at "Energies"

DOI: 10.3390/en13205444

Abstract: Recently, a lot of research has been carried out on partial discharge (PD) using machine learning techniques. However, most of these studies have focused on the identification of multiple PD sources, PD classification, or denoising… read more here.

Keywords: anomaly pattern; detection; pattern detection; partial discharge ... See more keywords