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For the Financial services Industry, PCI DSS compliance ensures the secure handling of cardholder data by organizations that process, store, or transmit credit card information. Payment Card Data...

Transparent Data Encryption (TDE) in Oracle HeatWave MySQL, a fully managed database service within Oracle Cloud Infrastructure (OCI), is a security feature that protects sensitive data at rest by...

本研究提出的TSPulse模型仅有100万参数，成功解决了时间序列预训练模型体积大和计算需求高的问题。该模型在分类和异常检测等任务中表现优异，适合无GPU推理和快速预训练。

本研究提出了一种新的跨模态对齐方法——结构引导跨模态对齐（SGCMA），旨在提升大型语言模型在时间序列预测中的应用。该方法通过学习状态转移图结构和语义对齐，显著提高了预测性能和泛化能力。

本研究提出了一种超轻量级预测模型Alinear，质疑了时间序列预测中的缩放法则。Alinear通过动态调整成分权重和频率衰减策略，在使用不足1%参数的情况下，依然保持了强大的准确性，挑战了“大模型更好”的传统观念。

本研究提出了一种轻量级的在线符合性预测方法，旨在解决深度时间序列预测模型在量化预测不确定性方面的挑战。该方法通过预训练模型特征拟合残差预测器，构建有效的置信区间，并利用自适应覆盖控制机制实现覆盖收敛，实验结果验证了其有效性。