A complete deep learning-based action recognition system with ResNet101 encoder, LSTM decoder with spatial attention, FastAPI backend, and web-based frontend. The system recognizes 40 different human ...

The following details transformation of open source raw data files from the Human Activity Recognition using Smartphones dataset in the UCI Machine Learning Repository from their initial raw component ...

Humanoid and Cognitive Robotics Laboratory, Department of Automatics, Biocybernetics, and Robotics, Jožef Stefan Institute, Ljubljana, Slovenia Collaboration between humans and robots is essential for ...

ABSTRACT: Under the context of global climate change, the frequent occurrence of strong winds in Guyuan has significantly hindered the development of local facility agriculture. Using hourly ...

A pioneering technology has been developed that enables human kidney organoids to be produced in a scalable manner by allowing the organoids to be combined with ex vivo pig kidneys and then ...

The first known hand fossils from an extinct human relative have been unearthed in Kenya, revealing a species with unexpected dexterity and a gorilla-like grip. The hand bones, which were discovered ...

Abstract: This paper aims to develop a robust Human Activity Recognition (HAR) system by integrating Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks, leveraging the UCF ...

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 ...

The method could one day become a treatment for infertility A decade of further research needed, scientists say The process overcomes an obstacle that stymied previous attempts Significant safety ...

The Trump administration is sharply expanding its use of artificial intelligence in immigration enforcement, using technology not just to track migrants but also to help determine who gets targeted ...