187 Result(s)
within
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Computer Science
English
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Article
Open AccessHierarchical adaptive evolution framework for privacy-preserving data publishing
The growing need for data publication and the escalating concerns regarding data privacy have led to a surge in interest in Privacy-Preserving Data Publishing (PPDP) across research, industry, and government s...
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Open AccessEffectiveness assessment of recent large vision-language models
The advent of large vision-language models (LVLMs) represents a remarkable advance in the quest for artificial general intelligence. However, the models’ effectiveness in both specialized and general tasks war...
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Open AccessThe application of evolutionary computation in generative adversarial networks (GANs): a systematic literature survey
As a subfield of deep learning (DL), generative adversarial networks (GANs) have produced impressive generative results by applying deep generative models to create synthetic data and by performing an adversar...
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Open AccessSimulated deep CT characterization of liver metastases with high-resolution filtered back projection reconstruction
Early diagnosis and accurate prognosis of colorectal cancer is critical for determining optimal treatment plans and maximizing patient outcomes, especially as the disease progresses into liver metastases. Comp...
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Open AccessLeveraging Semantic Information for Enhanced Community Search in Heterogeneous Graphs
Community search (CS) is a vital research area in network science that focuses on discovering personalized communities for query vertices from graphs. However, existing CS methods mainly concentrate on homogen...
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Open AccessPrediction of the cree** of AFC based on fuzzy reasoning and Bi-LSTM fusion iteration
The cree** of Armoured Face Conveyor (AFC) is an engineering problem that needs to be avoided in coal mining production process. In this paper, a method for predicting the cree** accident of AFC based on f...
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Open AccessEstablishment of an automatic diagnosis system for corneal endothelium diseases using artificial intelligence
To use artificial intelligence to establish an automatic diagnosis system for corneal endothelium diseases (CEDs).
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Open AccessMCAD: Multi-classification anomaly detection with relational knowledge distillation
With the wide application of deep learning in anomaly detection (AD), industrial vision AD has achieved remarkable success. However, current AD usually focuses on anomaly localization and rarely investigates a...
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Open AccessPromotion of practical technology of the thermal management system for cylindrical power battery
Amidst the industrial transformation and upgrade, the new energy vehicle industry is at a crucial juncture. Power batteries, a vital component of new energy vehicles, are currently at the forefront of industry...
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Open AccessA Parallel Model for Jointly Extracting Entities and Relations
Extracting relational triples from a piece of text is an essential task in knowledge graph construction. However, most existing methods either identify entities before predicting their relations, or detect rel...
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Open AccessSurvey: federated learning data security and privacy-preserving in edge-Internet of Things
The amount of data generated owing to the rapid development of the Smart Internet of Things is increasing exponentially. Traditional machine learning can no longer meet the requirements for training complex mo...
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Open AccessLearning to compose diversified prompts for image emotion classification
Image emotion classification (IEC) aims to extract the abstract emotions evoked in images. Recently, language-supervised methods such as contrastive language-image pretraining (CLIP) have demonstrated superior...
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Correction: GAL: combining global and local contexts for interpersonal relation extraction toward document-level Chinese text
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Open AccessMulti-factor stock trading strategy based on DQN with multi-BiGRU and multi-head ProbSparse self-attention
Reinforcement learning is widely used in financial markets to assist investors in develo** trading strategies. However, most existing models primarily focus on simple volume-price factors, and there is a nee...
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Open AccessCausality-Driven Intra-class Non-equilibrium Label-Specific Features Learning
In multi-label learning, label-specific feature learning can effectively avoid some ineffectual features that interfere with the classification performance of the model. However, most of the existing label-spe...
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Open AccessPCTDepth: Exploiting Parallel CNNs and Transformer via Dual Attention for Monocular Depth Estimation
Monocular depth estimation (MDE) has made great progress with the development of convolutional neural networks (CNNs). However, these approaches suffer from essential shortsightedness due to the utilization of...
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Open AccessFlipover outperforms dropout in deep learning
Flipover, an enhanced dropout technique, is introduced to improve the robustness of artificial neural networks. In contrast to dropout, which involves randomly removing certain neurons and their connections, f...
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Secure control and filtering for industrial metaverse
元宇宙可被视为一个社会化和虚拟化的网络空间, 与现实世界**行但互动. 得益于云计算和数字孪生的快速发展, 元宇宙**在将带有传统控制和滤波范式的工业自动化系统转变为信息物理社会融合系统. 在此情况下, 未来的工业自动化系统可能是在一定时间和空间范围内具有**大计算能力的现实世界系统与虚拟孪生系统的集成. 在该领域中, 元宇宙重点涉及信息传输管理、 用户的行为识别以及控制、 滤波和决策, 且性能和成本将是系统在网络空间和...
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The relationship between social media and professional learning from the perspective of pre-service teachers: A survey
Social media usage is indispensable for college students, but the connection between social media and learning has received little scientific investigation. By examining pre-service teachers' attention to scie...
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Open AccessRethinking Polyp Segmentation From An Out-of-distribution Perspective
Unlike existing fully-supervised approaches, we rethink colorectal polyp segmentation from an out-of-distribution perspective with a simple but effective self-supervised learning approach. We leverage the abil...
