This systematic literature review comprehensively examines the application of Large
Language Models (LLMs) in forecasting and anomaly detection, highlighting the current …

In the era of the COVID-19 pandemic, the surge in information sharing on social media,
particularly Twitter, necessitates a nuanced understanding of sentiments. Conventional …

With the rapid development of intelligent manufacturing, there are important and challenging
tasks in many aspects, especially in the calibration of 3D scanners. In order to improve the …

Sample average approximation (SAA), the standard approach to stochastic mixed-integer
programming, does not provide guidance for cases with limited computational budgets. In …

In order to deal with the problem of imbalance and complex feature relationship in network
data classification, this study proposes a machine learning classification method, combined …

Federated Learning (FL) is a distributed machine learning paradigm that allows clients to
train models on their data while preserving their privacy. FL algorithms, such as Federated …

以伊曼纽尔等建立的道德框架为基础, 进行风险源分析可知, 分诊功利化, 实质不平等,
区别对待等伦理风险可能产生侵害刑法法益的危险. 依托刑事法哲学中的禁止衡量生命和比例 …

Analyzing the moral framework established by Emanuel and others reveals that ethical risks
such as utilitarianism, substantive inequality, and the lack of sufficient justification for …