Latest AI and machine learning research in infection control / modes of transmission for healthcare professionals.
The evolution toward 6G networks demands a fundamental shift from bit-centric transmission to sema...
Event cameras asynchronously capture pixel-level intensity changes with extremely low latency. The...
BACKGROUND: Chronic kidney disease (CKD) is a major global public health issue, with a steadily incr...
We present HOIDiNi, a text-driven diffusion framework for synthesizing realistic and plausible hum...
Atomic force microscope (AFM) indentation allows high-resolution spatial characterization of biomech...
Data-driven approaches struggle with precise manipulation; imitation learning requires many hard-t...
Precise control of signal propagation in modular neural networks represents a fundamental challeng...
This paper comprehensively surveys research trends in imitation learning for contact-rich robotic ...
We present MAMMA, a markerless motion-capture pipeline that accurately recovers SMPL-X parameters ...
The advent of 6G networks demands unprecedented levels of intelligence, adaptability, and efficien...
In the era of large models and big data, the security of optical fiber communication backbone networ...
A novel self-adaptive secure end-to-end (E2E) transmission approach is proposed for a radio-over-fib...
Airborne microplastics (MPs) pose significant respiratory and systemic health risks upon inhalation;...
Semantic communication (SemCom) powered by generative artificial intelligence enables highly effic...
It has become mainstream to deploy Convolutional Neural Network (CNN) models on ubiquitous Interne...
Mastering dexterous, contact-rich object manipulation demands precise estimation of both in-hand o...
3D data derived from satellite images is essential for scene modeling applications requiring large...
Remote photoplethysmography (rPPG) enables non-contact, continuous monitoring of physiological sig...
The site conditions that make astronomical observatories in space and on the ground so desirable -...
Variational Autoencoders (VAEs) remain a cornerstone of generative computer vision, yet their trai...
Asynchronous Federated Learning (AFL) enables distributed model training across multiple mobile de...