As society advances, computer vision will play an increasingly crucial role in digital and intelligent transformations. Known as deep learning models, Convolutional Neural Networks (CNNs) have emerged as a key compone...
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As society advances, computer vision will play an increasingly crucial role in digital and intelligent transformations. Known as deep learning models, Convolutional Neural Networks (CNNs) have emerged as a key component of computer vision due to their superior performance in automatically detecting image features, handling high-dimensional data and performing large-scale classification tasks. This paper examines the development of CNNs, leveraging the strengths of current mainstream image recognition methods, and proposes a Self-Distillation and Attention-based Convolutional Neural Network (SDACNN) model to further enhance CNN accuracy. Experimental results demonstrate that the proposed model effectively accomplishes image recognition tasks.
With the rise of artificial intelligence, the application of computer vision technology in the construction safety management of construction engineering is increasingly *** the application of computer vision technolo...
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With people’s increasing pursuit of high-quality life and the need for more meticulous care for infants and young children, traditional strollers have been unable to meet people’s daily needs. Therefore, this paper ...
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In this article, we will review our advances in intelligence modeling the mind and explore various efforts to mimic the processes that would allow humans to perform cognition files and line widgets of processing. It p...
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Sintering process is one of the most important parts during the whole iron and steel production, the quality of the produced sinter is directly affected by the stability of the sintering process, and high-quality sint...
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With the advancement of technology, one of the areas that has shown significant progress is healthcare. In this sense, home care has gained considerable prominence nowadays. One of the key issues is the real-time moni...
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ISBN:
(纸本)9783031777370;9783031777387
With the advancement of technology, one of the areas that has shown significant progress is healthcare. In this sense, home care has gained considerable prominence nowadays. One of the key issues is the real-time monitoring of vital signs for patients outside the hospital environment. Taking this matter into account, this study provides a general literature review to enhance our understanding of the field. It has been demonstrated that this area exhibits a high publication rate and impact, with intriguing and significant research contributions.
The promise of increased efficiency and dependability has drawn much attention to hybrid energy systems combining several energy sources. This study suggests integrating a fuel cell, a battery system through a bidirec...
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This paper studies the digital transformation and upgrading algorithms of universities based on artificial intelligence. Through the precise docking of the digital transformation and development of the manufacturing i...
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This paper introduces a facial expression recognition method based on a residual network that incorporates a channel-space attention mechanism module. The method enhances the ResNet50 architecture and integrates label...
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This study presents a brand-new, extremely efficient mixed reconfigurable intelligent surface (RIS) technique intended to improve coverage area and substantially lower power loss in 6G networks. The Hybrid reconfigura...
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