This research is composed of two approaches. In the first part, we propose a hybrid model named TimeDistributed-CNN-LSTM (TD- CNN-LSTM) combining 3D Convolutional Neural Network (CNN) and Long Short ...

Programming language source code vulnerability mining is crucial to improving the security of software systems, but current research is mostly focused on the C language field, with little attention ...

python machine-learning time-series tensorflow keras transformers regression forex lstm forecasting multivariate trading-strategies ann algorithmic-trading attention-mechanism plugin-system ...

This repository is the pytorch implementation for the crowd counting model, LSC-CNN, proposed in the paper - Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection. If you ...