Practice Management

Staffing & Scheduling

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

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Showing 3340-3360 of 6,203 articles
Hyper-heuristic Evolution of Dispatching Rules: A Comparison of Rule Representations.

Dispatching rules are frequently used for real-time, online scheduling in complex manufacturing syst...

Design of a Robotic System to Measure Propulsion Work of Over-Ground Wheelchair Maneuvers.

A wheelchair-propelling robot has been developed to measure the efficiency of manual wheelchairs. Th...

How could robotic training and botolinum toxin be combined in chronic post stroke upper limb spasticity? A pilot study.

BACKGROUND: Spasticity has a role of primary importance in functional motor recovery of upper limb a...

Design and control of the MINDWALKER exoskeleton.

Powered exoskeletons can empower paraplegics to stand and walk. Actively controlled hip ab/adduction...

Trends in extreme learning machines: a review.

Extreme learning machine (ELM) has gained increasing interest from various research fields recently....

Training Recurrent Neural Networks With the Levenberg-Marquardt Algorithm for Optimal Control of a Grid-Connected Converter.

This paper investigates how to train a recurrent neural network (RNN) using the Levenberg-Marquardt ...

Improved Fault Classification in Series Compensated Transmission Line: Comparative Evaluation of Chebyshev Neural Network Training Algorithms.

This paper presents the Chebyshev neural network (ChNN) as an improved artificial intelligence techn...

Assist-as-Needed Robot-Aided Gait Training Improves Walking Function in Individuals Following Stroke.

A novel robot-aided assist-as-needed gait training paradigm has been developed recently. This paradi...

Robot-assisted gait training in a patient with hereditary spastic paraplegia.

Robot-assisted gait training has been investigated for restoring walking through activity-dependent ...

An Experimentation Platform for On-Chip Integration of Analog Neural Networks: A Pathway to Trusted and Robust Analog/RF ICs.

We discuss the design of an experimentation platform intended for prototyping low-cost analog neural...

Time-frequency modulation of ERD and EEG coherence in robot-assisted hand performance.

A better understanding of cortical modifications related to movement preparation and execution after...

Work-rate-guided exercise testing in patients with incomplete spinal cord injury using a robotics-assisted tilt-table.

PURPOSE: Robotics-assisted tilt-table (RTT) technology allows neurological rehabilitation therapy to...

Robot-assisted gait training improves motor performances and modifies Motor Unit firing in poststroke patients.

BACKGROUND: Robotics and related technologies are realizing their promise to improve the delivery of...

Development and validation of a stability-indicating RP-HPLC method for estimation of atazanavir sulfate in bulk.

A stability-indicating reverse phase-high performance liquid chromatography (RP-HPLC) method was dev...

Review on design and control aspects of ankle rehabilitation robots.

Ankle rehabilitation robots can play an important role in improving outcomes of the rehabilitation t...

A new training algorithm using artificial neural networks to classify gender-specific dynamic gait patterns.

The aim of this study was to present a new training algorithm using artificial neural networks calle...

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