Scientific Programming

Artificial Intelligence for Evaluation Decision-making in Modern Product Design


Publishing date
01 Feb 2023
Status
Closed
Submission deadline
07 Oct 2022

Lead Editor
Guest Editors

1North Minzu University, Yinchuan, China

2Zhengzhou University of Light Industry, Zhengzhou, UK

3University of Strasbourg, Strasbourg, France

This issue is now closed for submissions.

Artificial Intelligence for Evaluation Decision-making in Modern Product Design

This issue is now closed for submissions.

Description

The rapid development of artificial intelligence technology has greatly influenced the field of modern product design and has promoted the development of intelligent design. Artificial intelligence technology is frequently used in design activities and participates in all aspects of design. Design evaluation is one of the important aspects of design that runs throughout the whole design process. Design evaluation refers to the determination of the value of the design object, which is the process of comparing the design object with its corresponding value standard to clarify the value. The creative design process is accompanied by a large degree of evaluation and decision-making. Traditional design evaluation methods are often conducted manually and mainly rely on an individual’s experience and intuition. Therefore, evaluation results are affected by an individual’s knowledge and other factors, resulting in subjectivity.

With the explosive growth of intelligent design, it is unrealistic to evaluate large-scale design results manually, which cannot support design optimization in a timely and effective manner. The design evaluation method enabled by artificial intelligence can quantify the multi-dimensional contents such as design knowledge and user perception, establish a unified evaluation index, realize more detailed design analysis and evaluation, and improve the accuracy and objectivity of evaluation results. In addition, artificial intelligence can effectively make up for the efficiency of traditional methods. However, due to the characteristic differences between artificial intelligence and creative design, artificial intelligence still has many challenges in the face of design evaluation. With consideration of intelligent design, the means to abstract the subjective and ambiguous open evaluation problem into a data-driven closed problem is the focus of design evaluation research and application.

Therefore, the aim of this Special Issue is to welcome original research and review articles with a focus on applying advanced artificial intelligence and scientific programming approaches for evaluation decision-making in modern product design. This Special Issue aims to provide novel guidance for artificial intelligence researchers and broaden the perspectives of artificial intelligence and evaluation decision-related researchers.

Potential topics include but are not limited to the following:

  • Scientific programming in data fusion for modern design
  • Scientific programming in data forecasting for modern design
  • Scientific programming in pattern recognition for modern design
  • Artificial intelligence in image and video processing of E-commerce scenario
  • Artificial intelligence in product advertising design
  • Artificial intelligence in Internet of Things (IoT) of intelligent optimization
  • Artificial intelligence in multi-source information fusion for intelligent design
  • Artificial intelligence in product collaborative design

Articles

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Retracted: Deep Learning Analysis of English Education Blended Teaching in Virtual Reality Environment

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Retracted: Construction and Application of College Smart Party-Building Platform Integrating Artificial Intelligence and Internet Technology

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  • - Article ID 9851726
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Retracted: Study on the Influence of Wuthering Heights Characters Based on Web Analysis and Text Mining

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  • - Article ID 9787612
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Retracted: Impact of Carbon Information on Enterprise Value: Analysis Model Design Based on Big Data

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  • - Article ID 9783528
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Retracted: Emotion Analysis of Literary Works Based on Attentional Mechanisms and the Fusion of Two-Channel Features

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  • - Article ID 9837098
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Retracted: System Analysis of the Learning Behavior Recognition System for Students in a Law Classroom: Based on the Improved SSD Behavior Recognition Algorithm

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  • - Article ID 9831951
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Retracted: Intelligent Detection of Foreign Matter in Coal Mine Transportation Belt Based on Convolution Neural Network

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  • - Article ID 9857484
  • - Retraction

Retracted: College Students’ Ideological and Political In-Depth Teaching Community Based on Core Literacy Model

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  • - Article ID 9761635
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Retracted: Redistribution of Resources: Sustainable System Mechanisms for Enterprise Migration

Scientific Programming
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Acceptance rate7%
Submission to final decision126 days
Acceptance to publication29 days
CiteScore1.700
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