Performance is considered an important feature rather than the application of programming techniques for better software design in most scientific software developers. therefore, the problem arises if the software is ...
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Image generation using deep learning generative models has witnessed significant strides in various domains, particularly in scene and object generation. However, the complexities escalate when applied to facial image...
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ISBN:
(数字)9798350386592
ISBN:
(纸本)9798350386608
Image generation using deep learning generative models has witnessed significant strides in various domains, particularly in scene and object generation. However, the complexities escalate when applied to facial image generation, especially in healthcare scenarios where detailed and realistic depictions are crucial. this paper introduces a pioneering approach to generating lifelike faces with specific attributes, including age, hair color, and gender, leveraging the manipulable latent space of a generative Adversarial Network (GAN). the proposed system not only holds promise for applications such as criminal identification and film production but also showcases practical implications in the healthcare domain. By offering a user-friendly interface for attribute input and face display, the system facilitates healthcare professionals in generating diverse patient avatars for medical training simulations. the implementation utilizes Python, PyTorch, and the CelebA dataset, withthe training process conducted on Google Colab for computational efficiency. this work represents a novel intersection of advanced deep learning, human-computer interaction, and real-world healthcare applications, providing a holistic exploration of attribute-driven face synthesis in the medical field.
Facial recognition systems often face challenges with partial occlusions, which hinder feature identification and degrade model performance. Although GAN-based methods have shown promise, their reliance on synthetic d...
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ISBN:
(数字)9798331522216
ISBN:
(纸本)9798331522223
Facial recognition systems often face challenges with partial occlusions, which hinder feature identification and degrade model performance. Although GAN-based methods have shown promise, their reliance on synthetic datasets limits real-world applicability due to the lack of dataset realism. In this paper, we propose a novel three-stage framework that uses occlusion region prediction, facial component segmentation, and face restoration based on the outputs from the initial stages. this approach effectively handles diverse occlusions and bridges the gap between synthetic and real-world scenarios. Experimental results show the superiority of our method, achieving over 91 % on a similarity measure and outperforming existing methods.
By 2030 greenhouse gas emissions should be reduced by at least 55%. Despite hardware becoming more energy-efficient (Koomey's law), the ever-increasing reliance on computer technology has increased the energy usag...
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ISBN:
(纸本)9798400701399
By 2030 greenhouse gas emissions should be reduced by at least 55%. Despite hardware becoming more energy-efficient (Koomey's law), the ever-increasing reliance on computer technology has increased the energy usage due to ICT significantly. In software engineering (SE), there are many choices from programming languages to development patterns that influence energy efficiency. Recent research inspired our work on incorporating energy efficiency into SE education. An international group of researchers formulated initial recommendations for introducing green and sustainable software engineering [4] to students. An EU-US team formulated more refined recommendations for introducing green thinking as modules in existing courses [3]. ICT4S'22 best paper addressed HES eco-anxiety when teaching sustainability [2]. In this work we report on the experience of introducing reflection on energy efficiency into the default requirements of a SE course, and how that influenced students to address energy efficiency in their projects. Out of 8 teams, 7 implemented at least a small energy-efficient component. However, as one group donated to a climate charity in bitcoins, we need more ways to raise awareness.
In enterprise software development, component-based front-end page technology is becoming increasingly important. However, traditional manual component-based programming is difficult to adapt to increasingly complex e...
In enterprise software development, component-based front-end page technology is becoming increasingly important. However, traditional manual component-based programming is difficult to adapt to increasingly complex enterprise data table structures. this can lead to a large workload and slow down the development process. To address this issue, this paper proposes a method for automatically generating front-end source code for complex table structures based on Vue (AGT-Complex). this method uses hierarchical data structure recognition and expression to identify complex Excel table structures. It then forms a semantic mapping between business data tables and front-end program tables. Finally, it can generate code based on Vue components. Experimental results show that this method is effective and can greatly improve development efficiency. It can be used to develop complex data software with a high degree of automation.
the heart is a crucial component of all living organisms. Greater thoroughness and precision are required for heart disease diagnosis and prognosis since even a little error may result in serious consequences or even ...
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RGB color detection is a fundamental component of computer vision with a wide range of applications, including image processing, object recognition, industrial automation, and design. this article provides a comprehen...
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Chronic back pain can present a serious health concern, with symptoms that can significantly affect an individual's well-being, mobility, and overall quality of life over an extended period. While chronic back pai...
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Although the development of floating photovoltaic (FPV) in China is rapid, there are few reports on the power generation forecasting of FPV. Based on the monitoring data of the 150MW FPV plant in Huainan, a short-term...
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In the process of action recognition, due to the difference of channel state information (CSD collected by different experimenters, the identification method can not be Personnel independent. To address this issue, ac...
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