AIMC Topic: Pressure

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Reconstructing transient pressures in pipe networks from local observations by using physics-informed neural networks.

Water research Apr 20, 2024
Reconstructing transient states presents significant challenges, particularly within complex pipe networks. These challenges arise due to nonlinear behaviours, inherent uncertainties in the system, and limitations in data availability. This work prop...
Pressure Water Supply Neural Networks, Computer Models, Theoretical
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Bimodal Intelligent Electronic Skin Based on Proximity and Tactile Interaction for Pressure and Configuration Perception.

ACS sensors Mar 19, 2024
The flexible bimodal e-skin exhibits significant promise for integration into the next iteration of human-computer interactions, owing to the integration of tactile and proximity perception. However, those challenges, such as low tactile sensitivity,...
Pressure Touch Wearable Electronic Devices Humans Electrodes Neural Networks, Computer
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Exploring the potential of ChatGPT in the peer review process: An observational study.

Diabetes & metabolic syndrome Feb 3, 2024
BACKGROUND: Peer review is the established method for evaluating the quality and validity of research manuscripts in scholarly publishing. However, scientific peer review faces challenges as the volume of submitted research has steadily increased in ...
Pressure Humans Time Pressure Artificial Intelligence
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A Review in On-Body Compression Using Soft Actuators and Sensors: Applications, Mechanisms, and Challenges.

IEEE reviews in biomedical engineering Jan 12, 2024
Body compression through a garment or inflatable pneumatic mechanism has various applications in aesthetic, athletic, robotics, haptics, astronautics, and especially medical fields for treatment of various disorders such as varicose veins, lymphedema...
Humans Robotics Equipment Design Pressure
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CNN-based diagnosis model of children's bladder compliance using a single intravesical pressure signal.

Computer methods in biomechanics and biomedical engineering Jan 9, 2024
Bladder compliance assessment is crucial for diagnosing bladder functional disorders, with urodynamic study (UDS) being the principal evaluation method. However, the application of UDS is intricate and time-consuming in children. So it'S necessary to...
Pressure Urinary Bladder Child, Preschool Child Urodynamics Compliance Humans Neural Networks, Computer Algorithms Female Male
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All-Fabric Capacitive Pressure Sensors with Piezoelectric Nanofibers for Wearable Electronics and Robotic Sensing.

ACS applied materials & interfaces Oct 9, 2023
Flexible pressure sensors are increasingly sought after for applications ranging from physiological signal monitoring to robotic sensing; however, the challenges associated with fabricating highly sensitive, comfortable, and cost-effective sensors re...
Nanofibers Robotic Surgical Procedures Pressure Humans Wearable Electronic Devices Robotics
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CS-based multi-task learning network for arrhythmia reconstruction and classification using ECG signals.

Physiological measurement Jul 5, 2023
. Although deep learning-based current methods have achieved impressive results in electrocardiograph (ECG) arrhythmia classification issues, they rely on using the original data to identify arrhythmia categories. However, a large amount of data gene...
Humans Pressure Signal Processing, Computer-Assisted Neural Networks, Computer Algorithms Arrhythmias, Cardiac Electrocardiography
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Application of unsupervised and supervised learning to a material attribute database of tablets produced at two different granulation scales.

International journal of pharmaceutics May 20, 2023
The purpose of this study is to demonstrate the usefulness of machine learning (ML) for analyzing a material attribute database from tablets produced at different granulation scales. High shear wet granulators (scale 30 g and 1000 g) were used and da...
Pressure Tensile Strength Technology, Pharmaceutical Surface Properties Supervised Machine Learning Drug Compounding Particle Size Tablets
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An overview of the implementation of SeDeM and SSCD in various formulation developments.

International journal of pharmaceutics Feb 8, 2023
The Sediment Delivery Model explains experimental analysis and quantitative assessment of the powdered substance characterizing parameters, which offer pertinent data about the material's appropriateness for direct compression (DC) of tablet, which i...
Expert Systems Drug Compounding Pressure Tablets Excipients Powders
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Deep Neural Network for the Detections of Fall and Physical Activities Using Foot Pressures and Inertial Sensing.

Sensors (Basel, Switzerland) Jan 2, 2023
Fall detection and physical activity (PA) classification are important health maintenance issues for the elderly and people with mobility dysfunctions. The literature review showed that most studies concerning fall detection and PA classification add...
Exercise Neural Networks, Computer Pressure Foot Aged Humans Shoes
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