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Titlebook: Big Data – BigData 2023; 12th International C Shunli Zhang,Bo Hu,Liang-Jie Zhang Conference proceedings 2023 The Editor(s) (if applicable)

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11#
發(fā)表于 2025-3-23 13:19:43 | 只看該作者
Prediction of TrkB Complex and Antidepressant Targets Leveraging Big Data signal cascades, constitute appealing drugs targets. G protein coupled receptors (GPCRs) and ion channel receptors chelated antidepressants (ADs) high-resolution architectures were reported to realize receptors physical mechanism and design prototype compounds with minimal side effects. Tyrosine ki
12#
發(fā)表于 2025-3-23 15:04:46 | 只看該作者
Does Trust Improve Commercial Insurance Participation Behavior?participation. The results demonstrate that trust significantly enhances the probability and extent of commercial insurance participation. Moreover, the research findings further support the relationship between trust and commercial insurance participation. Heterogeneity analysis reveals that trust
13#
發(fā)表于 2025-3-23 20:47:39 | 只看該作者
14#
發(fā)表于 2025-3-24 00:40:57 | 只看該作者
Research on Complex Financial Ecosystem Modeling and Traceability Analysis Based on Heterogeneous Grl features as well as attribute features of each financial service entity node obtained in the previous section to be processed separately. And then proposes a risk propagation model based on the complex financial ecosystem network and the corresponding traceability mechanism, which is based on the
15#
發(fā)表于 2025-3-24 04:09:40 | 只看該作者
Accelerate SVM Training with OHD-SVM on GPUt. The SMO (Sequential Minimal Optimization) algorithm is used to solve the quadratic programming problem that arises during the training of SVM. OHD-SVM leverages the power of GPU (Graphics Processing Unit) to accelerate SVM training and it is the fastest GPU implementation so far. OHD-SVM adopts t
16#
發(fā)表于 2025-3-24 08:43:01 | 只看該作者
Construction of Data Security Systemloud computing, data has gradually been transformed from information assets to production factors. Data breach, abuse, tampering and other security issues will cause great harm to enterprises, and even affect national security, societal order, public interests and market stability. Therefore, on the
17#
發(fā)表于 2025-3-24 11:13:45 | 只看該作者
https://doi.org/10.1007/978-3-031-44725-9Data storage; Data lake; Data analysis; Data modeling; Data management; Data centers; Dataflow architectur
18#
發(fā)表于 2025-3-24 14:54:36 | 只看該作者
978-3-031-44724-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
19#
發(fā)表于 2025-3-24 20:52:34 | 只看該作者
20#
發(fā)表于 2025-3-24 23:29:34 | 只看該作者
Chris Backes,Mariolina Eliantonioance, which prompts the advancement of research regarding the cross-domain few-shot image classification task. In this paper, we systematically review existing cross-domain few-shot image classification algorithms published in recent years. We categorize these algorithms into data-augmentation and f
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