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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 1841-1860 of 5,474 articles

Real-Time AIoT for UAV Antenna Interference Detection via Edge-Cloud Collaboration

In the fifth-generation (5G) era, eliminating communication interference sources is crucial for maintaining network performance. Interference often originates from unauthorized or malfunctioning antennas, and radio monitoring agencies must address numerous sources of such antennas annually. Unmanned aerial vehicles (UAVs) can improve inspection efficiency. However, the data transmission delay in...

Planning-Guided Diffusion Policy Learning for Generalizable Contact-Rich Bimanual Manipulation

Contact-rich bimanual manipulation involves precise coordination of two arms to change object states through strategically selected contacts and motions. Due to the inherent complexity of these tasks, acquiring sufficient demonstration data and training policies that generalize to unseen scenarios remain a largely unresolved challenge. Building on recent advances in planning through contacts, we...

Haptic Stiffness Perception Using Hand Exoskeletons in Tactile Robotic Telemanipulation

Robotic telemanipulation - the human-guided manipulation of remote objects - plays a pivotal role in several applications, from healthcare to operat...

Vision-based Tactile Image Generation via Contact Condition-guided Diffusion Model

Vision-based tactile sensors, through high-resolution optical measurements, can effectively perceive the geometric shape of objects and the force in...

A Semantic Communication System for Real-time 3D Reconstruction Tasks

3D semantic maps have played an increasingly important role in high-precision robot localization and scene understanding. However, real-time constru...

LUIEO: A Lightweight Model for Integrating Underwater Image Enhancement and Object Detection

Underwater optical images inevitably suffer from various degradation factors such as blurring, low contrast, and color distortion, which hinder the ...

Introducing TEC-LncMir for prediction of lncRNA-miRNA interactions through deep learning of RNA sequences.

The interactions between long noncoding RNA (lncRNA) and microRNA (miRNA) play critical roles in life processes, highlighting the necessity to enhance...

Nov 22 2024 39927859
Privacy-Preserving Video Anomaly Detection: A Survey

Video Anomaly Detection (VAD) aims to automatically analyze spatiotemporal patterns in surveillance videos collected from open spaces to detect anom...

One-Shot Manipulation Strategy Learning by Making Contact Analogies

We present a novel approach, MAGIC (manipulation analogies for generalizable intelligent contacts), for one-shot learning of manipulation strategies...

Error-controlled Progressive Retrieval of Scientific Data under Derivable Quantities of Interest

The unprecedented amount of scientific data has introduced heavy pressure on the current data storage and transmission systems. Progressive compress...

Efficient Conflict Graph Creation for Time-Sensitive Networks with Dynamically Changing Communication Demands

Many applications of cyber-physical systems require real-time communication: manufacturing, automotive, etc. Recent Ethernet standards for Time Sens...

Advancing Biomedical Signal Security: Real-Time ECG Monitoring with Chaotic Encryption

The real time analysis and secure transmission of electrocardiogram (ECG) signals are critical for ensuring both effective medical diagnosis and pat...

Sequence-Based Machine Learning Reveals 3D Genome Differences between Bonobos and Chimpanzees.

The 3D structure of the genome is an important mediator of gene expression. As phenotypic divergence is largely driven by gene regulatory variation, c...

Nov 1 2024 39382451
Integrating Contact Tracing Data to Enhance Outbreak Phylodynamic Inference: A Deep Learning Approach.

Phylodynamics is central to understanding infectious disease dynamics through the integration of genomic and epidemiological data. Despite advancement...

Nov 1 2024 39497507
Optimizing information transmission in neural induction constrains cell surface contacts of ascidian embryos

The onset of neural induction in the anterior ectoderm of ascidian embryos is regulated at the extracellular level by FGF signaling molecules, which...

Learning Precise, Contact-Rich Manipulation through Uncalibrated Tactile Skins

While visuomotor policy learning has advanced robotic manipulation, precisely executing contact-rich tasks remains challenging due to the limitation...

Accelerating Error Correction Code Transformers

Error correction codes (ECC) are crucial for ensuring reliable information transmission in communication systems. Choukroun & Wolf (2022b) recently ...

From Behavior to Bio-Inspiration: Aerial Reorientation and Multi-Plane Stability in Kangaroo Rats, Computational Models, and Robots.

Tails play essential roles in functions related to locomotor stability and maneuverability among terrestrial and arboreal animals. In kangaroo rats, b...

Sep 27 2024 38901961
[Application of machine learning models in schistosomiasis control: a review].

Schistosomiasis is a major public health concern in the world, and precision control is crucial to combating this disease. Due to the complex and dive...

Sep 20 2024 39623997
Structural causal influence (SCI) captures the forces of social inequality in models of disease dynamics

Mathematical modelling has served a central role in studying how infectious disease transmission manifests at the population level. These models hav...

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