The electrification of transport is transforming not only how vehicles operate but how energy systems are managed. Modern EV ...
The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
A neural interface framework integrating L2 regularization with attention supervision paradigms achieves 96.87% classification accuracy in EEG ...
Abstract: As robot collaboration scenarios become more prevalent, ensuring operational safety is increasingly critical. Collision detection for robotic manipulators is a key metric for ensuring system ...
This project provides a real-time patient vitals monitoring API and models for classification and anomaly detection using LSTM and an autoencoder. It includes trained Keras models and a FastAPI ...
# VitalSense — Adaptive Anomaly Detector with Meta-Learning (Scaffold) **Stack**: Python, PyTorch, learn2learn (optional), Streamlit **Features included in this ...
State Key Laboratory of Medical Proteomics, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, P. R. China University of Chinese Academy of Sciences, Beijing 100049, P.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback