While preventive HPV vaccines play a fundamental role in controlling the spread of HPV and prevention of HPV-associated lesions and cancers, they cannot help with treatment of already established HPV infection. Although there are currently no…
Category: 7. Maths
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Enhancing enterprise knowledge retrieval via cross-domain deep recommendation: a sparse data approach
Datasets
In this study, we selected an internal enterprise dataset and an open cross-domain recommendation dataset to validate the effectiveness of the cross-domain recommendation algorithm in optimizing enterprise knowledge retrieval in sparse…
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Attention-enhanced StrongSORT for robust vehicle tracking in complex environments
Experimental conditions and datasets
(1) Experimental Configuration: The experiments were conducted on a system with an AMD Ryzen 7 5800H processor, NVIDIA GeForce RTX 3060 graphics card, and 16GB RAM, running Windows 11 OS with Python 3.8 and…
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Context-aware data augmentation for enhanced speech command recognition in industrial environments
In this section, we describe the methods proposed in this paper to address the problem of classifying commands belonging to one of the N classes and the approaches used to achieve robustness in real-world industrial scenarios, including rejection…
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Real-time driver drowsiness detection using transformer architectures: a novel deep learning approach
This paper introduces a comprehensive and systematic methodology for real-time driver drowsiness detection, leveraging state-of-the-art deep learning techniques to classify eye states into “Open-Eyes” and “Close-Eyes.” The proposed…
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A combined improved dung beetle optimization and extreme learning machine framework for precise SOC estimation
SOC Estimation at different temperatures
To verify that the prediction accuracy of the model proposed in this manuscript is not affected by the ambient temperature, this section employs the LG18650 LiB datasets for verification. The training set…
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A PSO weighted ensemble framework with SMOTE balancing for student dropout prediction in smart education systems
This section outlines the methods used to create models to predict student dropout using machine learning classifiers. Machine learning classifiers are used on diverse student data, encompassing demographic information, academic achievement, and…
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A lightweight intrusion detection approach for CAN bus using depthwise separable convolutional Kolmogorov Arnold network
Spectral normalization GAN (SN-GAN)
In the real world, the majority of the CAN bus dataset represents normal operating conditions, while malicious attack data is extremely scarce, leading to a class imbalance problem. In this condition, directly…
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Jumping knowledge graph attention network for resource allocation in wireless cellular system
In this section, we introduce the proposed algorithm’s overall architecture and each part’s principles.
Overall architecture of JGAT
We propose a novel architecture, termed Jumping Knowledge Graph Attention Network (JGAT), to address the graph…
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The complexity of pharmaceutical expenditures across U.S. states
Preliminary analysis
We conduct a preliminary analysis of the data concerning the pharmaceutical expenditure across U.S. states. Figure 1 presents a choropleth map illustrating the total pharmaceutical expenditures across U.S. states over the…
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