Practice Management

Staffing & Scheduling

Latest AI and machine learning research in staffing & scheduling for healthcare professionals.

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Showing 1681-1701 of 6,167 articles
Human-Robot Cooperative Strength Training Based on Robust Admittance Control Strategy.

A stroke is a common disease that can easily lead to lower limb motor dysfunction in the elderly. St...

Machine Learning Approach to Predict the Performance of a Stratified Thermal Energy Storage Tank at a District Cooling Plant Using Sensor Data.

In the energy management of district cooling plants, the thermal energy storage tank is critical. As...

Deep learning-based neural networks for day-ahead power load probability density forecasting.

Energy efficiency is crucial to greenhouse gas (GHG) emission pathways reported by the Intergovernme...

Implementation of robot-assisted groin hernia repair diminishes the prospects of young surgeons' training: a nationwide register-based cohort study.

PURPOSE: Robot-assisted groin hernia repair is becoming more popular in recent years but may remove ...

Trajectory Optimization in Terms of Energy and Performance of an Industrial Robot in the Manufacturing Industry.

Currently, the high demand for new products in the automotive sector requires large investments in f...

Training-Free Deep Generative Networks for Compressed Sensing of Neural Action Potentials.

Energy consumption is an important issue for resource-constrained wireless neural recording applicat...

Mining Data Impressions From Deep Models as Substitute for the Unavailable Training Data.

Pretrained deep models hold their learnt knowledge in the form of model parameters. These parameters...

Large-Scale Distributed Training of Transformers for Chemical Fingerprinting.

Transformer models have become a popular choice for various machine learning tasks due to their ofte...

What are clinically relevant performance metrics in robotic surgery? A systematic review of the literature.

A crucial element of any surgical training program is the ability to provide procedure-specific, obj...

Cloud Computing Image Processing Application in Athlete Training High-Resolution Image Detection.

The rapid development of Internet of things mobile application technology and artificial intelligenc...

Real-time monitoring of work-at-height safety hazards in construction sites using drones and deep learning.

INTRODUCTION: The construction field is considered one of the most dangerous industries. Accidents a...

Perception without preconception: comparison between the human and machine learner in recognition of tissues from histological sections.

Deep neural networks (DNNs) have shown success in image classification, with high accuracy in recogn...

Ensemble classification combining ResNet and handcrafted features with three-steps training.

This work presents an ECG classifier for variable leads as a contribution to the Computing in Cardio...

Neural Networks for Survival Prediction in Medicine Using Prognostic Factors: A Review and Critical Appraisal.

Survival analysis deals with the expected duration of time until one or more events of interest occu...

A Deep Neural Network-Based Model for Quantitative Evaluation of the Effects of Swimming Training.

This paper analyzes the quantitative assessment model of the swimming training effect based on the d...

Recent advances in applications of artificial intelligence in solid waste management: A review.

Efficient management of solid waste is essential to lessen its potential health and environmental im...

Data augmentation with Mixup: Enhancing performance of a functional neuroimaging-based prognostic deep learning classifier in recent onset psychosis.

Although deep learning holds great promise as a prognostic tool in psychiatry, a limitation of the m...

A Review on Multiscale-Deep-Learning Applications.

In general, most of the existing convolutional neural network (CNN)-based deep-learning models suffe...

Latency-Aware Task Scheduling for IoT Applications Based on Artificial Intelligence with Partitioning in Small-Scale Fog Computing Environments.

The Internet of Things applications have become popular because of their lightweight nature and usef...

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