Public Health & Policy

Work Force

Latest AI and machine learning research in work force for healthcare professionals.

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Adaptive Control Improves Sclera Force Safety in Robot-Assisted Eye Surgery: A Clinical Study.

The integration of robotics into retinal microsurgery leads to a reduction in surgeon perception of ...

A Machine Learning Framework for Balancing Training Sets of Sensor Sequential Data Streams.

The recent explosive growth in the number of smart technologies relying on data collected from senso...

Physicochemical properties, antioxidant activities and microbial communities of Ethiopian honey wine, Tej.

Ethiopian honey wine, Tej, is spontaneously fermented traditional alcoholic beverage, usually made f...

Self-supervised driven consistency training for annotation efficient histopathology image analysis.

Training a neural network with a large labeled dataset is still a dominant paradigm in computational...

Emotion Recognition Based on EEG Using Generative Adversarial Nets and Convolutional Neural Network.

Emotion recognition plays an important role in the field of human-computer interaction (HCI). Automa...

Attention-Based Joint Training of Noise Suppression and Sound Event Detection for Noise-Robust Classification.

Sound event detection (SED) recognizes the corresponding sound event of an incoming signal and estim...

Generative adversarial network based data augmentation and gender-last training strategy with application to bone age assessment.

BACKGROUND AND OBJECTIVES: Bone age assessment (BAA) is widely used in determination of discrepancy ...

Feasibility and tolerance of a robotic postural training to improve standing in a person with ambulatory spinal cord injury.

An ambulatory elder with SCI, AIS C, balance deficits, and right ankle-foot-orthosis participated. R...

The Convolutional Neural Networks Training With Channel-Selectivity for Human Activity Recognition Based on Sensors.

Recently, the state-of-the-art performance in various sensor based human activity recognition (HAR) ...

Generalized Zero-Shot Chest X-Ray Diagnosis Through Trait-Guided Multi-View Semantic Embedding With Self-Training.

Zero-shot learning (ZSL) is one of the most promising avenues of annotation-efficient machine learni...

Weakly Supervised Cell Segmentation by Point Annotation.

We propose weakly supervised training schemes to train end-to-end cell segmentation networks that on...

How adaptation, training, and customization contribute to benefits from exoskeleton assistance.

Exoskeletons can enhance human mobility, but we still know little about why they are effective. For ...

Using Artificial Intelligence for the Construction of University Physical Training and Teaching Systems.

The combination of education and artificial intelligence is the developmental direction of future ed...

Optimal Training Configurations of a CNN-LSTM-Based Tracker for a Fall Frame Detection System.

In recent years, there has been an immense amount of research into fall event detection. Generally, ...

Feature Selection and Validation of a Machine Learning-Based Lower Limb Risk Assessment Tool: A Feasibility Study.

Early and self-identification of locomotive degradation facilitates us with awareness and motivation...

Landscape Planning and Image Analysis Based on Multipopulation Coevolution Particle Swarm Radial Basis Function Neural Network Algorithm.

Urban landscape planning and design is not only closely related to people's living environment, but ...

Training data distribution significantly impacts the estimation of tissue microstructure with machine learning.

PURPOSE: Supervised machine learning (ML) provides a compelling alternative to traditional model fit...

Sports Training System Based on Convolutional Neural Networks and Data Mining.

In recent years, China's sports industry has achieved good development, but the efficiency of athlet...

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