本项目是一个基于Python开发的恶意网络流量检测系统，采用深度学习（CNN、LSTM）与传统机器学习（随机森林、逻辑回归）相结合的混合架构，通过PyQt5构建可视化操作界面，支持离线数据检测和实时网卡流量捕获分析。 随着网络攻击手段的日益复杂化和加密流量 ...

Regularizing and Optimizing LSTM Language Models An Analysis of Neural Language Modeling at Multiple Scales This code was originally forked from the PyTorch word level language modeling example. The ...

在数据驱动决策的时代，时间序列预测作为数据科学的核心应用之一，始终是各行业探索未来趋势的关键工具。无论是金融市场的黄金价格波动，还是能源领域的能耗变化，精准的预测都能为企业和决策者带来巨大的价值提升。作为数据科学家，我们在协助客户 ...

Accurate, reliable and transparent crop yield prediction is crucial for informed decision-making by governments, farmers, and businesses regarding food security as well as agricultural business and ...

股票市场在经济发展中占据重要地位。由于股票的高回报特性，股票市场吸引了越来越多机构和投资者的关注。然而，由于股票市场的复杂波动性，有时会给机构或投资者带来巨大损失。考虑到股票市场的风险，对股价变动的研究与预测能够为投资者规避风险。

Abstract: For ensuring the safe operation of IGBT, Artificial Intelligence technology can be used to predict the life of IGBT. Aiming at problem that the remaining life prediction method of IGBT lacks ...