On measuring the change in historical city centres: an attempt at comparing human perception and deep learning through visual quality of street space.

Saved in:
Bibliographic Details
Title: On measuring the change in historical city centres: an attempt at comparing human perception and deep learning through visual quality of street space.
Authors: Gönül, Alper1, alper.gonul@btu.edu.tr, Durak, Selen2, selendurak@uludag.edu.tr
Source: Multimedia Tools & Applications; Sep2025, Vol. 84 Issue 32, p39283-39305, 23p
Database: Applied Science & Technology Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 188314051
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: On measuring the change in historical city centres: an attempt at comparing human perception and deep learning through visual quality of street space.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Gönül%2C+Alper%22">Gönül, Alper</searchLink><relatesTo>1</relatesTo>, <i>alper.gonul@btu.edu.tr</i><br /><searchLink fieldCode="AU" term="%22Durak%2C+Selen%22">Durak, Selen</searchLink><relatesTo>2</relatesTo>, <i>selendurak@uludag.edu.tr</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>; Sep2025, Vol. 84 Issue 32, p39283-39305, 23p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=188314051
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s11042-025-20642-3
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 23
        StartPage: 39283
    Titles:
      – TitleFull: On measuring the change in historical city centres: an attempt at comparing human perception and deep learning through visual quality of street space.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Gönül, Alper
      – PersonEntity:
          Name:
            NameFull: Durak, Selen
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 27
              M: 09
              Text: Sep2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 13807501
          Numbering:
            – Type: volume
              Value: 84
            – Type: issue
              Value: 32
          Titles:
            – TitleFull: Multimedia Tools & Applications
              Type: main
ResultId 1