ArticleComputational intelligence and neuroscience2022
Cultural and Creative Product Design and Image Recognition Based on the Convolutional Neural Network Model.
Article in Computational intelligence and neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- The Impact of Cultural Creative Product Design for Sport Events on the Residents' Fitness.Journal of environmental and public health · 2022Trial
- Research on user acceptance intention of artificial intelligence generated content for museum cultural and creative products.PloS one · 2026Article
- Research on an intelligent fan cultural sustainability design method based on CPO-CNN-LSSVM.Scientific reports · 2025Article
- Article
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Authors and funding
3 authors.
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Abstract
The development in technology has resulted in the utilization of artificial intelligence systems in various fields. In this research, we are going to study cultural and creative product design and image recognition based on a convolutional neural network (CNN) model. A convolutional neural network is referred to as a type of artificial neural network (ANN) that is used to analyze visual images. Our proposed system deploys a convolutional neural network model for image recognition in the field of cultural and creative product design. Cultural and creative products are becoming more popular these days. The cultural and creative products are referred to as innovative products or innovative new product design which makes use of the cultural symbols and other cultural factors in their design. In simple words, it is the integration of culture and creativity in a new product design. The main aspect of cultural creative products is the incorporation of cultural features into a new product, thus obtaining a creative- and culture-based product. The study results have proved that CNN has provided an accuracy of 87%.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.