View in EDS PDF Full Text

Quantifying Perceptual Uncertainty through Non-Invasive Kinematic Tracking: A Convolutional Neural Network-Based Approach for Identifying Candidate Kinematic Markers.

Saved in:
Bibliographic Details
Title: Quantifying Perceptual Uncertainty through Non-Invasive Kinematic Tracking: A Convolutional Neural Network-Based Approach for Identifying Candidate Kinematic Markers.
Authors: López Moreno, Alberto Nicolás1 an.lopezmoreno@ugto.mx, Gomez, Geovanni Hernández1 geov.hernandez@ugto.mx, López-Villagómez, José Manuel1 jmlopez@ugto.mx, López-Hernández, Juan Manuel1 jm.lopezvillagomez@ugto.mx
Source: International Journal of Combinatorial Optimization Problems & Informatics. 2026, Vol. 17 Issue 5, p138-152. 15p.
Database: Academic Search Ultimate
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: asn
DbLabel: Academic Search Ultimate
An: 197067877
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Quantifying Perceptual Uncertainty through Non-Invasive Kinematic Tracking: A Convolutional Neural Network-Based Approach for Identifying Candidate Kinematic Markers.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22López+Moreno%2C+Alberto+Nicolás%22">López Moreno, Alberto Nicolás</searchLink><relatesTo>1</relatesTo><i> an.lopezmoreno@ugto.mx</i><br /><searchLink fieldCode="AR" term="%22Gomez%2C+Geovanni+Hernández%22">Gomez, Geovanni Hernández</searchLink><relatesTo>1</relatesTo><i> geov.hernandez@ugto.mx</i><br /><searchLink fieldCode="AR" term="%22López-Villagómez%2C+José+Manuel%22">López-Villagómez, José Manuel</searchLink><relatesTo>1</relatesTo><i> jmlopez@ugto.mx</i><br /><searchLink fieldCode="AR" term="%22López-Hernández%2C+Juan+Manuel%22">López-Hernández, Juan Manuel</searchLink><relatesTo>1</relatesTo><i> jm.lopezvillagomez@ugto.mx</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Combinatorial+Optimization+Problems+%26+Informatics%22">International Journal of Combinatorial Optimization Problems & Informatics</searchLink>. 2026, Vol. 17 Issue 5, p138-152. 15p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=197067877
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.61467/2007.1558.2026.v17i5.1306
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 15
        StartPage: 138
    Titles:
      – TitleFull: Quantifying Perceptual Uncertainty through Non-Invasive Kinematic Tracking: A Convolutional Neural Network-Based Approach for Identifying Candidate Kinematic Markers.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: López Moreno, Alberto Nicolás
      – PersonEntity:
          Name:
            NameFull: Gomez, Geovanni Hernández
      – PersonEntity:
          Name:
            NameFull: López-Villagómez, José Manuel
      – PersonEntity:
          Name:
            NameFull: López-Hernández, Juan Manuel
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 11
              Text: 2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 20071558
          Numbering:
            – Type: volume
              Value: 17
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: International Journal of Combinatorial Optimization Problems & Informatics
              Type: main
ResultId 1