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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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Showing 1741-1760 of 5,474 articles

ThinTact:Thin Vision-Based Tactile Sensor by Lensless Imaging

Vision-based tactile sensors have drawn increasing interest in the robotics community. However, traditional lens-based designs impose minimum thickness constraints on these sensors, limiting their applicability in space-restricted settings. In this paper, we propose ThinTact, a novel lensless vision-based tactile sensor with a sensing field of over 200 mm2 and a thickness of less than 10 mm.Thin...

Interpretable Droplet Digital PCR Assay for Trustworthy Molecular Diagnostics

Accurate molecular quantification is essential for advancing research and diagnostics in fields such as infectious diseases, cancer biology, and genetic disorders. Droplet digital PCR (ddPCR) has emerged as a gold standard for achieving absolute quantification. While computational ddPCR technologies have advanced significantly, achieving automatic interpretation and consistent adaptability acros...

CHEQ-ing the Box: Safe Variable Impedance Learning for Robotic Polishing

Robotic systems are increasingly employed for industrial automation, with contact-rich tasks like polishing requiring dexterity and compliant behavi...

Cross-Technology Interference: Detection, Avoidance, and Coexistence Mechanisms in the ISM Bands

A large number of heterogeneous wireless networks share the unlicensed spectrum designated as the ISM (Industry, Scientific, and Medicine) radio ban...

UAV Swarm-enabled Collaborative Post-disaster Communications in Low Altitude Economy via a Two-stage Optimization Approach

The low-altitude economy (LAE) plays an indispensable role in cargo transportation, healthcare, infrastructure inspection, and especially post-disas...

Performance of YOLOv7 in Kitchen Safety While Handling Knife

Safe knife practices in the kitchen significantly reduce the risk of cuts, injuries, and serious accidents during food preparation. Using YOLOv7, an...

TipSegNet: Fingertip Segmentation in Contactless Fingerprint Imaging

Contactless fingerprint recognition systems offer a hygienic, user-friendly, and efficient alternative to traditional contact-based methods. However...

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE

Generating realistic human grasps is crucial yet challenging for object manipulation in computer graphics and robotics. Current methods often strugg...

Separate Source Channel Coding Is Still What You Need: An LLM-based Rethinking

Along with the proliferating research interest in Semantic Communication (SemCom), Joint Source Channel Coding (JSCC) has dominated the attention du...

Segment Anything Model for Zero-shot Single Particle Tracking in Liquid Phase Transmission Electron Microscopy

Liquid phase transmission electron microscopy (LPTEM) offers an unparalleled combination of spatial and temporal resolution, making it a promising t...

SCSC: A Novel Standards-Compatible Semantic Communication Framework for Image Transmission

Joint source-channel coding (JSCC) is a promising paradigm for next-generation communication systems, particularly in challenging transmission envir...

Transformer-Driven Inverse Problem Transform for Fast Blind Hyperspectral Image Dehazing

Hyperspectral dehazing (HyDHZ) has become a crucial signal processing technology to facilitate the subsequent identification and classification task...

Digital Twin-based SIM Communication and Flight Control for Advanced Air Mobility

Electric Vertical Take-off and Landing vehicles (eVTOLs) are driving Advanced Air Mobility (AAM) toward transforming urban transportation by extendi...

Optimized Relay Lens Design For High-Resolution Image Transmission In Military Target Detection Systems

The design and performance analysis of relay lenses that provide high-performance image transmission for target acquisition and tracking in military...

Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method

This paper investigates adaptive transmission strategies in embodied AI-enhanced vehicular networks by integrating large language models (LLMs) for ...

Semantics-Guided Diffusion for Deep Joint Source-Channel Coding in Wireless Image Transmission

Joint source-channel coding (JSCC) offers a promising avenue for enhancing transmission efficiency by jointly incorporating source and channel stati...

SIMPLICITY: an agent-based, multi-scale mathematical model to study SARS-CoV-2 intra- and between-host evolution

Computational tools are frequently used to describe pathogen evolutionary dynamics either within infected hosts or at the population level. However, t...

Accurate Protein-Protein Interactions Modeling through Physics-informed Geometric Invariant Learning

AlphaFold has set a new standard for predicting protein structures from primary sequences; however, it faces challenges with protein complexes across ...

WaveSeekerNet: Accurate Prediction of Influenza A Virus Subtypes and Host Source Using Attention-Based Deep Learning

Influenza A virus (IAV) poses a significant threat to animal health globally, with its ability to overcome species barriers and cause pandemics. Rapid...

Machine Learning Enables Rapid Assessment of Disease Vulnerability in a Threatened Cetacean Population

Cetaceans (whales and dolphins) are important ecosystem sentinels but face growing threats from major disease-related mortality events expected to int...

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