This paper proposes a multi-modal deep learning framework for Arabic Sign Language (ArSL) recognition, addressing the challenges of both static and dynamic gesture recognition. The framework ...
China plans to tighten rules around the use of human-like artificial intelligence by requiring providers to ensure their services are ethical, secure and transparent ...
ICU patient monitoring forms the foundation for AI models to predict which sepsis patients will benefit from corticosteroid therapy, enabling personalized treatment decisions. Sepsis remains one of ...
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 ...
Edge-Enabled Human Activity Recognition Using Hybrid Deep Learning and Multi-Sensor Wi-Fi CSI Arrays
Abstract: Recent advances in wireless sensing have positioned Wi-Fi Channel State Information (CSI) as a promising modality for human activity recognition (HAR), offering a cost-effective and ...
The Metropolitan Police will more than double its number of live facial recognition (LFR) deployments to cover the loss of 1,400 officers and 300 staff amid budget cuts. Detailing its restructuring ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results