Snapshot ensembles have been widely used in various fields of prediction. They allow for training an ensemble of prediction models at the cost of training a single one. They are known to yield more robust predictions ...
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Generative Adversarial Network (GAN) has drawn increasing attention to augment training data to improve palm vein authentication performance. However, existing GAN-based data augmentation methods focus on generating o...
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The primary aim in the present study was to investigate the design narrative expression in the medical popular science serious games. Methods of integrating the relevant content of disease prevention and treatment int...
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ISBN:
(纸本)9783031358968;9783031358975
The primary aim in the present study was to investigate the design narrative expression in the medical popular science serious games. Methods of integrating the relevant content of disease prevention and treatment into the challenging, interesting, and interactive game segments in serious games, and how to present it through the narrative and design methods were key areas of investigation. Firstly, the relevant theoretical background was reviewed. After theoretical research, the relationships between content, vision, and interactive experiences in the AIDS prevention game "Bluebridge Cafe" developed by Tencent were investigated and analyzed. The focuses in the present study were the design and expression of content related to AIDS prevention and post infection disease treatment in the game, howto guide users to change their attitudes and behaviors in storytelling, and how to combine the content with the functions of the game segments. The results of the present study can help improve the design of functional games for medical science popularization, so as to enhance the transmission of health information and improve the effects of medical knowledge popularization.
The automatic development of meaningful, detailed textual descriptions for supplied images is a difficult task in the fields of computer vision and natural language processing. As a result, an AI-powered image caption...
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The automatic development of meaningful, detailed textual descriptions for supplied images is a difficult task in the fields of computer vision and natural language processing. As a result, an AI-powered image caption generator can be incredibly useful for producing captions. In this study, we present a unique method for creating picture captions utilizing an attention mechanism that concentrates on pertinent areas of the image while it creates captions. On benchmark datasets, our model, which uses deep neural networks to extract picture attributes and produce captions, obtains state-of-the-art results, confirming the effectiveness of the attention mechanism in raising the caliber of the generated captions. We also offer a thorough evaluation of the performance of our approach and talk about potential future directions for enhancing image caption generation.
In this paper, we describe and analyze an Average Schwarz Method with spectrally enriched coarse space for a Crouzeix-Raviart finite volume element discretization of a multiscale problem. The derived preconditioner is...
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Image generation models aim to generate realistic images according to certain requirements. In recent years, there has been significant progress in the application of machine learning in computer vision. Various appli...
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Empowered by the development of multimodal information processing and large language model-related technologies, robots that can operate autonomously in human living spaces are being realized. When such robots communi...
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This paper describes a pattern to formalise context-free grammars in OWL and its use for sequence classification. The proposed approach is compared to existing methods in terms of computational complexity as well as p...
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In the rapidly evolving field of computerscience education, there is an increasing demand for a comprehensive coding platform that caters to the needs of both college students and educators Although the educational s...
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ISBN:
(纸本)9789819713288;9789819713295
In the rapidly evolving field of computerscience education, there is an increasing demand for a comprehensive coding platform that caters to the needs of both college students and educators Although the educational setting is vital in exposing students to computer programming, current coding practices are frequently unsatisfactory because evaluating proposed solutions takes a lot of time. The aim of this research paper is to develop an integrated web-based coding platform called "CodeConnect". This platform offers a flexible ecosystem for coding practice, assessment, and collaborative learning, with the goal of empowering educators and learners alike. It acts as a database of programming problems, providing opportunities for training, practice, and tracking of progress. Our web application aims to create a supportive community that promotes collaboration, skill development, and a passion for coding by bridging the gap between students and educators.
Most current contactless palm vein (PV) recognition systems are designed for indoor scenes. However, in the wild, the performance of traditional region of interest (ROI) extraction methods can be significantly degrade...
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