IEEE

sEMG-Based Motion Recognition for Robotic Surgery Training Using Machine Learning and Variable-Length Sliding Windows—A Preliminary Study

Abstract: The advent of robotic surgery has brought about a paradigm shift in the medical field, necessitating the development of corresponding surgical skills training and assessment methods. These ...
IEEE

CIT-HAR: A High Accuracy and Lightweight Human Activity Recognition System Using CSI Heatmaps and a Hybrid Transformer Network

Abstract: Device-free human activity recognition (HAR) based on channel state information (CSI) has gained significant attention in the Internet of Things (IoT) domain. However, raw CSI data often ...
GitHub

Using Powerful Prior Knowledge of Diffusion Model in Deep Unfolding Networks for Image Compressive Sensing

1 School of Electronic and Information Engineering, Beijing Jiaotong University, China 2 School of Automation and Intelligence, Beijing Jiaotong University, China Recently, Deep Unfolding Networks ...
Nature

Machine-learning model generates images using light

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...