Aug 29, 2023 � To aid in the design of pneumatic tires, this paper suggests the use of Generative Adversarial Networks (GAN) models.
In this paper, we generate images of non-pneumatic tire designs with patterns based on shapes and lines for different generative adversarial network (GAN)�...
Sep 18, 2023 � To identify the best model for generating patterns of regularly shaped non-pneumatic tires, GAN, deep convolutional generative adversarial�...
ABSTRACT. Pneumatic tires 1 are used in a wide range of industries. However, they are difficult to design and rely on the knowledge.
To identify the best model for generating patterns of regularly shaped non-pneumatic tires, GAN, deep convolutional generative adversarial network (DCGAN),�...
Missing: Comparative | Show results with:Comparative
The current work looks at generating designs of pneumatic tires using various GAN architectures. The scientific explanations are sound, with conclusions�...
Missing: Comparative | Show results with:Comparative
Optimizing Generative Adversarial Networks Models for Non-Pneumatic Tire Design ... Activation functions: Comparison of trends in practice and research for�...
Missing: Comparative Analysis Evaluation.
To identify the best model for generating patterns of regularly shaped non-pneumatic tires, GAN, deep convolutional generative adversarial network (DCGAN),�...
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Oct 14, 2024 � The high-resolution prediction of tyre-pavement contact stresses is crucial for advancing pavement design and vehicle safety.
Missing: Pneumatic | Show results with:Pneumatic
In this study, a deep generative tread pattern design framework is proposed to automatically generate various tread patterns satisfying the target tire�...
Missing: Comparative | Show results with:Comparative