Leveraging the Autonomous yet Connected Principle and Deep Learning Model to Enhance Aesthetic Appreciation Predictions for Computer Design

The content includes the results of the improved version of YOLOv11s, in which typicality and novelty correspond to connectedness and autonomy, respectively, because their essence is the pursuit of security and accomplishment. In addition, the content also includes the pictures used in the paper and the results of the questionnaire.

Publication Details

Journal
Figshare
Published
2025-01-15
DOI
https://doi.org/10.6084/m9.figshare.28208534
Primary Topic
Aesthetic Perception and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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Leveraging the Autonomous yet Connected Principle and Deep Learning Model to Enhance Aesthetic Appreciation Predictions for Computer Design

Figshare
Aesthetic Perception and Analysis
article

Leveraging the Autonomous yet Connected Principle and Deep Learning Model to Enhance Aesthetic Appreciation Predictions for Computer Design

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Abstract

The content includes the results of the improved version of YOLOv11s, in which typicality and novelty correspond to connectedness and autonomy, respectively, because their essence is the pursuit of security and accomplishment. In addition, the content also includes the pictures used in the paper and the results of the questionnaire.

Figshare
Openalex Percentile: Top 56%
Aesthetic Perception and Analysis
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Leveraging the Autonomous yet Connected Principle and Deep Learning Model to Enhance Aesthetic Appreciation Predictions for Computer Design · Figshare (2025) | TGRS Research Map | TGRS