How a facial recognition tool for bears can help manage wildlife

BearID uses deep learning, a subset of machine learning that makes use of artificial neural networks, to analyze images and ...
Frontiers

Human Neurophysiology Pattern Recognition

Human neurophysiology encompasses the intricate study of brain activity, cognition, and behavior. Recent advancements in neuroimaging and recording techniques, such as EEG, fNIRS, fMRI, and MEG, ...
Tech Xplore

From individuals to crews, AI brings teamwork into construction productivity analysis

Researchers at National Taiwan University have developed an AI system that recognizes construction activities at both the ...
GitHub

AhmedEl-diasty/Human-Activity-Recognition-CNN-LSTM

This project implements a hybrid deep learning model combining Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks for human activity recognition using sensor data from ...
Healio

Machine learning, remote monitoring identify low disease activity in rheumatoid arthritis

Please provide your email address to receive an email when new articles are posted on . Machine learning can use patient-reported outcomes to identify low disease activity in rheumatoid arthritis.
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Robohub

Interview with Zahra Ghorrati: developing frameworks for human activity recognition using wearable sensors

In this interview series, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. Zahra Ghorrati is developing frameworks for human activity ...
IEEE

Contrastive Learning for Zero-Shot Human Activity Recognition Using Labeled Simple Actions on Wearable Devices

Abstract: Existing Zero-Shot Learning (ZSL) approaches for sensor-based Human Activity Recognition (HAR) often rely on external semantic information—such as attribute annotations or textual ...
C&EN

Smart and Low-Cost Flexible Strain Sensor Based on Graphene-MWCNT Porous Elastic Sponge for Home Control and Object Grasping Recognition Using Machine Learning

School of Physics and Optoelectric Engineering, Guangdong University of Technology, Guangzhou Higher Education Mega Center, Guangzhou 510006, P. R. China Guangdong Provincial Key Laboratory of Sensing ...