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Infection control / Modes of transmission

Latest AI and machine learning research in infection control / modes of transmission for healthcare professionals.

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HiCMamba: Enhancing Hi-C Resolution and Identifying 3D Genome Structures with State Space Modeling

Hi-C technology measures genome-wide interaction frequencies, providing a powerful tool for studyi...

A Semantic-Loss Function Modeling Framework With Task-Oriented Machine Learning Perspectives

The integration of machine learning (ML) has significantly enhanced the capabilities of Earth Obse...

Tacchi 2.0: A Low Computational Cost and Comprehensive Dynamic Contact Simulator for Vision-based Tactile Sensors

With the development of robotics technology, some tactile sensors, such as vision-based sensors, h...

Real-time simulation enabled navigation control of magnetic soft continuum robots in confined lumens

Magnetic soft continuum robots (MSCRs) have emerged as a promising technology for minimally invasi...

Task-Oriented Co-Design of Communication, Computing, and Control for Edge-Enabled Industrial Cyber-Physical Systems

This paper proposes a task-oriented co-design framework that integrates communication, computing, ...

Semantic Communications with Computer Vision Sensing for Edge Video Transmission

Despite the widespread adoption of vision sensors in edge applications, such as surveillance, the ...

Towards Generalization of Tactile Image Generation: Reference-Free Evaluation in a Leakage-Free Setting

Tactile sensing, which relies on direct physical contact, is critical for human perception and und...

MatchMaker: Automated Asset Generation for Robotic Assembly

Robotic assembly remains a significant challenge due to complexities in visual perception, functio...

SRSA: Skill Retrieval and Adaptation for Robotic Assembly Tasks

Enabling robots to learn novel tasks in a data-efficient manner is a long-standing challenge. Comm...

Robotic Compliant Object Prying Using Diffusion Policy Guided by Vision and Force Observations

The growing adoption of batteries in the electric vehicle industry and various consumer products h...

Variable-Friction In-Hand Manipulation for Arbitrary Objects via Diffusion-Based Imitation Learning

Dexterous in-hand manipulation (IHM) for arbitrary objects is challenging due to the rich and subt...

Remote Sensing Image Classification Using Convolutional Neural Network (CNN) and Transfer Learning Techniques

This study investigates the classification of aerial images depicting transmission towers, forests...

Fault Localization and State Estimation of Power Grid under Parallel Cyber-Physical Attacks

Parallel cyber-physical attacks (PCPA) refer to those attacks on power grids by disturbing/cutting...

Aerial Infrared Health Monitoring of Solar Photovoltaic Farms at Scale

Solar photovoltaic (PV) farms represent a major source of global renewable energy generation, yet ...

A Lightweight Deep Exclusion Unfolding Network for Single Image Reflection Removal

Single Image Reflection Removal (SIRR) is a canonical blind source separation problem and refers t...

Multi-Keypoint Affordance Representation for Functional Dexterous Grasping

Functional dexterous grasping requires precise hand-object interaction, going beyond simple grippi...

QORT-Former: Query-optimized Real-time Transformer for Understanding Two Hands Manipulating Objects

Significant advancements have been achieved in the realm of understanding poses and interactions o...

[A review of deep learning methods for non-contact heart rate measurement based on facial videos].

Heart rate is a crucial indicator of human health with significant physiological importance. Traditi...

Feb 2025 40000193
Lightweight Vision Model-based Multi-user Semantic Communication Systems

Semantic Communication (SemCom) is a promising new paradigm for next-generation communication syst...

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