The rapid evolution of wireless technology has transformed communication, offering unprecedented accessibility and convenience. However, significant challenges like spectrum scarcity, security vulnerabilities, and env...
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In recent years, owing to advancements in medical imaging technology, the three-dimensional reconstruction of cartilage structures has become increasingly important in medical image processing. However, the repair of ...
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Extreme learning machine(ELM) is an anti-jamming technique that has a wide range of utilities, We have verified and compared the results by using the Matlab Software. We have explained the transmitter, radio channel, ...
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Sparse multi-dimensional gene expression data refers to datasets that has a vast number of features and observations, where a substantial portion of the entries are zero or missing values. In such datasets, the number...
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The exceptional performance of Vision Transformer (ViT) in many computer vision tasks has attracted the attention of many computer vision researchers;ViT outperforms prior techniques without requiring architectural ch...
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Aiming at the difficulty of signal processing and feature extraction in multi-fault mode, a multi-fault feature extraction method based on manifold learning is proposed. On the basis of maintaining the linear relation...
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Wearing safety helmets is an effective way to keep construction workers safe on the job. Workers often opt to remove their helmets due to discomfort or a lack of security knowledge, leaving them vulnerable to unsaid t...
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Neuromorphic computing is a new paradigm that emerges from the structure and function of the human brain and aims to revolutionize computing. The technology is designed to simulate the high speed, low power consumptio...
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Accurate chest X-ray segmentation (CXR) is vital for disease diagnosis and monitoring, such as Covid-19. This study proposes an advanced deep learning-based framework for enhanced CXR segmentation incorporating a mult...
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This study introduces a novel facial deconstruction method for face emotion identification. After identifying facial landmarks with the IntraFace algorithm, seven regions of interest (ROI) are extracted, representing ...
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