Latest AI and machine learning research in infection control / modes of transmission for healthcare professionals.
Traditional feature extraction and projection techniques, such as Principal Component Analysis, struggle to adequately represent X-Ray Transmission (XRT) Multi-Energy (ME) images, limiting the performance of neural networks in decision-making processes. To address this issue, we propose a method that approximates the dataset topology by constructing adjacency graphs using the Uniform Manifold Ap...
This paper focuses on a typical uplink transmission scenario over multiple-input multiple-output multiple access channel (MIMO-MAC) and thus propose a multi-user learnable CSI fusion semantic communication (MU-LCFSC) framework. It incorporates CSI as the side information into both the semantic encoders and decoders to generate a proper feature mask map in order to produce a more robust attention...
Image-based virtual try-on aims to transfer an in-shop clothing image to a person image. Most existing methods adopt a single global deformation to ...
This paper presents a dual-channel tactile skin that integrates Electrical Impedance Tomography (EIT) with air pressure sensing to achieve accurate ...
Airborne hyperspectral imaging is a promising method for identifying tropical species, but spectral variability between acquisitions hinders consist...
With the rapid development of large multimodal models (LMMs), multimodal understanding applications are emerging. As most LMM inference requests ori...
Effective epidemic modeling is essential for managing public health crises, requiring robust methods to predict disease spread and optimize resource...
Artificial intelligence (AI) models remain an emerging strategy to accelerate materials design and development. We demonstrate that convolutional ne...
Hi-C technology measures genome-wide interaction frequencies, providing a powerful tool for studying the 3D genomic structure within the nucleus. Ho...
The integration of machine learning (ML) has significantly enhanced the capabilities of Earth Observation (EO) systems by enabling the extraction of...
Laser beam welding is a non-contact joining technique that has gained significant importance in the course of the increasing degree of automation in...
With the development of robotics technology, some tactile sensors, such as vision-based sensors, have been applied to contact-rich robotics tasks. H...
Magnetic soft continuum robots (MSCRs) have emerged as a promising technology for minimally invasive interventions, offering enhanced dexterity and ...
This paper proposes a task-oriented co-design framework that integrates communication, computing, and control to address the key challenges of bandw...
Despite the widespread adoption of vision sensors in edge applications, such as surveillance, the transmission of video data consumes substantial sp...
Tactile sensing, which relies on direct physical contact, is critical for human perception and underpins applications in computer vision, robotics, ...
Robotic assembly remains a significant challenge due to complexities in visual perception, functional grasping, contact-rich manipulation, and perfo...
Enabling robots to learn novel tasks in a data-efficient manner is a long-standing challenge. Common strategies involve carefully leveraging prior e...
The growing adoption of batteries in the electric vehicle industry and various consumer products has created an urgent need for effective recycling ...
Dexterous in-hand manipulation (IHM) for arbitrary objects is challenging due to the rich and subtle contact process. Variable-friction manipulation...