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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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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, farmland, and mountains. To complete the classification job, features are extracted from input photos using a Convolutional Neural Network (CNN) architecture. Then, the images are classified using Softmax. To test the model, we ran it for ten epochs using a batch size of 90, the Adam optimizer, an...

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 off physical transmission lines and meanwhile blocking transmission of measurement data to dwarf or delay the system protection and recovery actions. Such fierce hostile attacks impose critical threats to the modern power grids when there is a fusion of power grids and telecommunication technologie...

Aerial Infrared Health Monitoring of Solar Photovoltaic Farms at Scale

Solar photovoltaic (PV) farms represent a major source of global renewable energy generation, yet their true operational efficiency often remains un...

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 to the issue of separating a reflection-contaminate...

Estimating Blood Pressure with a Camera: An Exploratory Study of Ambulatory Patients with Cardiovascular Disease

Hypertension is a leading cause of morbidity and mortality worldwide. The ability to diagnose and treat hypertension in the ambulatory population is...

Multi-Keypoint Affordance Representation for Functional Dexterous Grasping

Functional dexterous grasping requires precise hand-object interaction, going beyond simple gripping. Existing affordance-based methods primarily pr...

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 of two hands manipulating an object. The emergence ...

[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. Traditional contact methods for measuring heart rate, suc...

Feb 25 2025 40000193
Lightweight Vision Model-based Multi-user Semantic Communication Systems

Semantic Communication (SemCom) is a promising new paradigm for next-generation communication systems, emphasizing the transmission of core informat...

Speech Enhancement Using Continuous Embeddings of Neural Audio Codec

Recent advancements in Neural Audio Codec (NAC) models have inspired their use in various speech processing tasks, including speech enhancement (SE)...

Autonomous Agricultural Monitoring with Aerial Drones and RF Energy-Harvesting Sensor Tags

In precision agriculture and plant science, there is an increasing demand for wireless sensors that are easy to deploy, maintain, and monitor. This ...

HOMIE: Humanoid Loco-Manipulation with Isomorphic Exoskeleton Cockpit

Generalizable humanoid loco-manipulation poses significant challenges, requiring coordinated whole-body control and precise, contact-rich object man...

AquaScope: Reliable Underwater Image Transmission on Mobile Devices

Underwater communication is essential for both recreational and scientific activities, such as scuba diving. However, existing methods remain highly...

DexTrack: Towards Generalizable Neural Tracking Control for Dexterous Manipulation from Human References

We address the challenge of developing a generalizable neural tracking controller for dexterous manipulation from human references. This controller ...

Learning to Predict Global Atrial Fibrillation Dynamics from Sparse Measurements

Catheter ablation of Atrial Fibrillation (AF) consists of a one-size-fits-all treatment with limited success in persistent AF. This may be due to ou...

Semantic Learning for Molecular Communication in Internet of Bio-Nano Things

Molecular communication (MC) provides a foundational framework for information transmission in the Internet of Bio-Nano Things (IoBNT), where effici...

Take What You Need: Flexible Multi-Task Semantic Communications with Channel Adaptation

The growing demand for efficient semantic communication systems capable of managing diverse tasks and adapting to fluctuating channel conditions has...

DOGlove: Dexterous Manipulation with a Low-Cost Open-Source Haptic Force Feedback Glove

Dexterous hand teleoperation plays a pivotal role in enabling robots to achieve human-level manipulation dexterity. However, current teleoperation s...

Improved YOLOv7 model for insulator defect detection

Insulators are crucial insulation components and structural supports in power grids, playing a vital role in the transmission lines. Due to temperat...

Improved YOLOv5s model for key components detection of power transmission lines

High-voltage transmission lines are located far from the road, resulting in inconvenient inspection work and rising maintenance costs. Intelligent i...

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