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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 841-860 of 5,474 articles

A Routing Optimization Method for Software-Defined Optical Transport Networks Based on Ensembles and Reinforcement Learning.

Optical transport networks (OTNs) are widely used in backbone- and metro-area transmission networks to increase network transmission capacity. In the OTN, it is particularly crucial to rationally allocate routes and maximize network capacities. By employing deep reinforcement learning (DRL)- and software-defined networking (SDN)-based solutions, the capacity of optical networks can be effectively ...

Oct 24 2022 36365836

An automated online three-phase electro-extraction setup with machine-vision process monitoring hyphenated to LC-MS analysis.

Sample preparation is a labor-intensive and time-consuming procedure, especially for the bioanalysis of small-volume samples with low-abundant analytes. To minimize losses and dilution, sample preparation should ideally be hyphenated to downstream on-line analysis such as liquid chromatography-mass spectrometry (LC-MS). In this study, an automated three-phase electro-extraction (EE) method coupled...

Oct 21 2022 36368820
Current Applications of Robot-Assisted Ultrasound Examination.

Despite advances in miniaturization and automation, the need for expert acquisition of a full echocardiogram, including Doppler, has restricted access...

Oct 19 2022 36648034
sEMG-Based Gain-Tuned Compliance Control for the Lower Limb Rehabilitation Robot during Passive Training.

The lower limb rehabilitation robot is a typical man-machine coupling system. Aiming at the problems of insufficient physiological information and uns...

Oct 17 2022 36298256
A Force-Feedback Methodology for Teleoperated Suturing Task in Robotic-Assisted Minimally Invasive Surgery.

With robotic-assisted minimally invasive surgery (RAMIS), patients and surgeons benefit from a reduced incision size and dexterous instruments. Howeve...

Oct 14 2022 36298180
A deep-learning approach for automatically detecting gait-events based on foot-marker kinematics in children with cerebral palsy-Which markers work best for which gait patterns?

Neuromotor pathologies often cause motor deficits and deviations from typical locomotion, reducing the quality of life. Clinical gait analysis is used...

Oct 13 2022 36227847
A Framework for Inclusion of Unmodelled Contact Tasks Dynamics in Industrial Robotics.

This paper presents a method to include unmodeled dynamics of load or a robot's end-effector into algorithms for collision detection or general unders...

Oct 9 2022 36236747
Deep learning model for analyzing the relationship between mandibular third molar and inferior alveolar nerve in panoramic radiography.

In this study, the accuracy of the positional relationship of the contact between the inferior alveolar canal and mandibular third molar was evaluated...

Oct 8 2022 36209283
DLoopCaller: A deep learning approach for predicting genome-wide chromatin loops by integrating accessible chromatin landscapes.

In recent years, major advances have been made in various chromosome conformation capture technologies to further satisfy the needs of researchers for...

Oct 7 2022 36206320
Lightweight individual cow identification based on Ghost combined with attention mechanism.

Individual cow identification is a prerequisite for intelligent dairy farming management, and is important for achieving accurate and informative dair...

Oct 6 2022 36201486
A bioinspired robotic knee with controlled joint surfaces and adjustable ligaments.

The knee joint plays a key role in kinematic and kinetic performances of pedestrain locomotion. The key role of meniscus with matched ligaments in joi...

Oct 3 2022 35926484
AI-Assisted Tuberculosis Detection and Classification from Chest X-Rays Using a Deep Learning Normalization-Free Network Model.

Tuberculosis (TB) is an airborne disease caused by . It is imperative to detect cases of TB as early as possible because if left untreated, there is a...

Oct 3 2022 36225551
The compliance of head-mounted industrial PPE by using deep learning object detectors.

The compliance of industrial personal protective equipment (PPE) still represents a challenging problem considering size of industrial halls and numbe...

Sep 29 2022 36175434
A New Positioning Method for Climbing Robots Based on 3D Model of Transmission Tower and Visual Sensor.

With the development of robot technology and the extensive application of robots, the research on special robots for some complex working environments...

Sep 26 2022 36236386
GADF-VGG16 based fault diagnosis method for HVDC transmission lines.

Transmission lines are most prone to faults in the transmission system, so high-precision fault diagnosis is very important for quick troubleshooting....

Sep 23 2022 36149901
Input-to-State Stabilization of Stochastic Markovian Jump Systems Under Communication Constraints: Genetic Algorithm-Based Performance Optimization.

This work investigates the stabilization problem of uncertain stochastic Markovian jump systems (MJSs) under communication constraints. To reduce the ...

Sep 19 2022 33822733
Support vector machine based methodology for classification of thermal images pertaining to breast cancer.

Breast cancer has been and continues to be a cause of major health concern for women. It is more prevalent in old age, but its incidence has increased...

Sep 17 2022 36462875
Ultrasonic image denoising using machine learning in point contact excitation and detection method.

A point contact/Coulomb coupling technique is generally used for visualizing the ultrasonic waves in Lead Zirconate Titanate (PZT) ceramics. The point...

Sep 6 2022 36103756
Liquid Metal-Elastomer Composites with Dual-Energy Transmission Mode for Multifunctional Miniature Untethered Magnetic Robots.

Miniature untethered robots attract growing interest as they have become more functional and applicable to disruptive biomedical applications recently...

Sep 5 2022 36065052
A New Strategy for Disc Cutter Wear Status Perception Using Vibration Detection and Machine Learning.

Carrying out status monitoring and fault-diagnosis research on cutter-wear status is of great significance for real-time understanding of the health s...

Sep 4 2022 36081145
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