Infection control / Modes of transmission

GRACE: Estimating Geometry-level 3D Human-Scene Contact from 2D Images

Estimating the geometry level of human-scene contact aims to ground specific contact surface points at 3D human geometries, which provides a spatial prior and bridges the interaction between human and scene, supporting applications such as human behavior analysis, embodied AI, and AR/VR. To complete the task, existing approaches predominantly rely on parametric human models (e.g., SMPL), which e...

ElectricSight: 3D Hazard Monitoring for Power Lines Using Low-Cost Sensors

Protecting power transmission lines from potential hazards involves critical tasks, one of which is the accurate measurement of distances between power lines and potential threats, such as large cranes. The challenge with this task is that the current sensor-based methods face challenges in balancing accuracy and cost in distance measurement. A common practice is to install cameras on transmissi...

Antagonistic coinfection in rock-paper-scissors models during concurrent epidemics

We investigate the dynamics of dual disease epidemics within the spatial rock-paper-scissors model. In this framework, individuals from all species ...

Noninvasive blood glucose monitoring using a dual band microwave sensor with machine learning.

The potential for continuous non-invasive blood glucose monitoring has attracted a lot of interest in the field of medical diagnostics. This paper pro...

Using machine learning models to predict the impact of template mismatches on polymerase chain reaction assay performance.

Molecular assays are critical tools for the diagnosis of infectious diseases. These assays have been extremely valuable during the COVID pandemic, use...

Building Damage Visualization Through Three-Dimensional Reconstruction and Window Detection.

This study proposes a non-contact method for assessing building inclination and damage by integrating 3D point cloud data with image recognition techn...

Event-Triggered GAT-LSTM Framework for Attack Detection in Heating, Ventilation, and Air Conditioning Systems

Heating, Ventilation, and Air Conditioning (HVAC) systems are essential for maintaining indoor environmental quality, but their interconnected natur...

From Spaceborne to Airborne: SAR Image Synthesis Using Foundation Models for Multi-Scale Adaptation

The availability of Synthetic Aperture Radar (SAR) satellite imagery has increased considerably in recent years, with datasets commercially availabl...

CrayonRobo: Object-Centric Prompt-Driven Vision-Language-Action Model for Robotic Manipulation

In robotic, task goals can be conveyed through various modalities, such as language, goal images, and goal videos. However, natural language can be ...

KineDex: Learning Tactile-Informed Visuomotor Policies via Kinesthetic Teaching for Dexterous Manipulation

Collecting demonstrations enriched with fine-grained tactile information is critical for dexterous manipulation, particularly in contact-rich tasks ...

In-situ and Non-contact Etch Depth Prediction in Plasma Etching via Machine Learning (ANN & BNN) and Digital Image Colorimetry

Precise monitoring of etch depth and the thickness of insulating materials, such as Silicon dioxide and silicon nitride, is critical to ensuring dev...

ResiTok: A Resilient Tokenization-Enabled Framework for Ultra-Low-Rate and Robust Image Transmission

Real-time transmission of visual data over wireless networks remains highly challenging, even when leveraging advanced deep neural networks, particu...

Multimodal Graph Representation Learning for Robust Surgical Workflow Recognition with Adversarial Feature Disentanglement

Surgical workflow recognition is vital for automating tasks, supporting decision-making, and training novice surgeons, ultimately improving patient ...

Snakes in the Plane: Controllable Gliders in a Nanomagnetic Metamaterial

The magnetic metamaterials known as Artificial Spin Ice (ASI) are promising candidates for neuromorphic computing, composed of vast numbers of inter...

AI-ready Snow Radar Echogram Dataset (SRED) for climate change monitoring

Tracking internal layers in radar echograms with high accuracy is essential for understanding ice sheet dynamics and quantifying the impact of accel...

Latent Feature-Guided Conditional Diffusion for High-Fidelity Generative Image Semantic Communication

Semantic communication is proposed and expected to improve the efficiency and effectiveness of massive data transmission over sixth generation (6G) ...

Semantic-aided Parallel Image Transmission Compatible with Practical System

In this paper, we propose a novel semantic-aided image communication framework for supporting the compatibility with practical separation-based codi...

Unconstrained Large-scale 3D Reconstruction and Rendering across Altitudes

Production of photorealistic, navigable 3D site models requires a large volume of carefully collected images that are often unavailable to first res...

SNR-aware Semantic Image Transmission with Deep Learning-based Channel Estimation in Fading Channels

Semantic communications (SCs) play a central role in shaping the future of the sixth generation (6G) wireless systems, which leverage rapid advances...

ABO: Abandon Bayer Filter for Adaptive Edge Offloading in Responsive Augmented Reality

Bayer-patterned color filter array (CFA) has been the go-to solution for color image sensors. In augmented reality (AR), although color interpolatio...