Staffing & Scheduling

Self-selected speed gait training in Parkinson's disease: robot-assisted gait training with virtual reality versus gait training on the ground.

BACKGROUND: Parkinson's disease (PD) is a neurodegenerative disorder causing progressive gait disabi...

Robot-Assisted Reach Training With an Active Assistant Protocol for Long-Term Upper Extremity Impairment Poststroke: A Randomized Controlled Trial.

OBJECTIVE: To assess whether robot-assisted reach training (RART) with an active assistant protocol ...

Evaluation of an Artificial Neural Network Retention Index Model for Chemical Structure Identification in Nontargeted Metabolomics.

Liquid chromatography coupled with electrospray ionization tandem mass spectrometry (LC-ESI-MS/MS) i...

Development, Dynamic Modeling, and Multi-Modal Control of a Therapeutic Exoskeleton for Upper Limb Rehabilitation Training.

Robot-assisted training is a promising technology in clinical rehabilitation providing effective tre...

Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review.

BACKGROUND: State-of-the-art classifiers based on convolutional neural networks (CNNs) were shown to...

Effects of robot-(Morning Walk) assisted gait training for patients after stroke: a randomized controlled trial.

OBJECTIVE:: To investigate the effects of Morning Walk-assisted gait training for patients with stro...

Deep-RBPPred: Predicting RNA binding proteins in the proteome scale based on deep learning.

RNA binding protein (RBP) plays an important role in cellular processes. Identifying RBPs by computa...

Improving Performance of Devanagari Script Input-Based P300 Speller Using Deep Learning.

The performance of an existing Devanagari script (DS) input-based P300 speller with conventional mac...

The new Avicenna Roboflex: How does the irrigation system work? Results from an in vitro experiment.

INTRODUCTION: Since 2012 Elmed has been working on a robot specifically designed for flexible ureter...

ASO Author Reflections: Novel Robotic Training Curriculum Used in Complex Surgical Oncology.

Molecular imaging with neural training of identification algorithm (neural network localization identification).

Superresolution localization microscopy strongly relies on robust identification algorithms for accu...

Factorization machines and deep views-based co-training for improving answer quality prediction in online health expert question-answering services.

In online health expert question-answering (HQA) services, it is significant to automatically determ...

Detection of masses in mammograms using a one-stage object detector based on a deep convolutional neural network.

Several computer aided diagnosis (CAD) systems have been developed for mammography. They are widely ...

Dual-task training of children with neuromotor disorders during robot-assisted gait therapy: prerequisites of patients and influence on leg muscle activity.

BACKGROUND: Walking in daily life is complex entailing various prerequisites such as leg strength, t...

Applications of Recurrent Neural Networks in Environmental Factor Forecasting: A Review.

Analysis and forecasting of sequential data, key problems in various domains of engineering and scie...

Protocol-based state estimation for delayed Markovian jumping neural networks.

This paper is concerned with the state estimation problem for a class of Markovian jumping neural ne...

A novel training method to preserve generalization of RBPNN classifiers applied to ECG signals diagnosis.

In this paper a novel training technique is proposed to offer an efficient solution for neural netwo...

Performance of the deep convolutional neural network based magnetic resonance image scoring algorithm for differentiating between tuberculous and pyogenic spondylitis.

The purpose of this study was to evaluate the performance of the deep convolutional neural network (...

Determination of Curdlan Oligosaccharides with High-Performance Anion Exchange Chromatography with Pulsed Amperometric Detection.

The increasing interest of curdlan oligosaccharides (COS) in medicine and plant protection fields im...

Robot-assisted gait training to reduce pusher behavior: A randomized controlled trial.

OBJECTIVE: To determine the effects of 2 weeks of intensive robot-assisted gait training (RAGT) on p...

Improved Peptide Retention Time Prediction in Liquid Chromatography through Deep Learning.

The accuracy of peptide retention time (RT) prediction model in liquid chromatography (LC) is still ...