Staffing & Scheduling

A resonant tactile stiffness sensor for lump localization in robot-assisted minimally invasive surgery.

A miniature resonant tactile sensor for tissue stiffness detection in robot-assisted minimally invas...

An influent responsive control strategy with machine learning: Q-learning based optimization method for a biological phosphorus removal system.

Biological phosphorus removal (BPR) is an economical and sustainable processes for the removal of ph...

Self-Paced Balance Learning for Clinical Skin Disease Recognition.

Class imbalance is a challenging problem in many classification tasks. It induces biased classificat...

Learning image-based spatial transformations via convolutional neural networks: A review.

Recent methodological innovations in deep learning and associated advancements in computational hard...

Performance assessment of gas-phase toluene removal in one- and two-liquid phase biotrickling filters using artificial neural networks.

The main aim of this work is to study gas-phase toluene removal in one- and two-liquid phase biotric...

Improving the repeatability of two-rate model parameter estimations by using autoencoder networks.

The adaptive changes elicited in visuomotor adaptation experiments are usually well explained at gro...

Robotic-Assisted Gait Training Effect on Function and Gait Speed in Subacute and Chronic Stroke Population: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

BACKGROUND: The review is intended to provide the effectiveness of robotic-assisted gait training (R...

Comparison of neuron-based, kernel-based, tree-based and curve-based machine learning models for predicting daily reference evapotranspiration.

Accurately predicting reference evapotranspiration (ET0) with limited climatic data is crucial for i...

Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning.

In mass-spectrometry-based proteomics, the identification and quantification of peptides and protein...

MCRDR Knowledge-Based 3D Dialogue Simulation in Clinical Training and Assessment.

Dialogue-based simulation is a real-world practice technique for medical and clinical education that...

Robot assisted training for the upper limb after stroke (RATULS): a multicentre randomised controlled trial.

BACKGROUND: Loss of arm function is a common problem after stroke. Robot-assisted training might imp...

Robotic-assisted training after stroke: RATULS advances science.

Recomputation of the Dense Layers for Performance Improvement of DCNN.

Gradient descent optimization of learning has become a paradigm for training deep convolutional neur...

Effect of repetitive transcranial magnetic stimulation combined with robot-assisted training on wrist muscle activation post-stroke.

OBJECTIVE: To compare the effects of active assisted wrist extension training, using a robotic exosk...

Deep neural network concepts for background subtraction:A systematic review and comparative evaluation.

Conventional neural networks have been demonstrated to be a powerful framework for background subtra...

A New Approach for Construction of Geodemographic Segmentation Model and Prediction Analysis.

Customer retention is invariably the top priority of all consumer businesses, and certainly it is on...

A distant supervision based approach to medical persona classification.

Identifying medical persona from a social media post is critical for drug marketing, pharmacovigilan...

The use of robots and other automated devices in nurses' work: An integrative review.

BACKGROUND: Future nursing shortages and advanced technological developments mean that robots and au...

Over-ground walking or robot-assisted gait training in people with .multiple sclerosis: does the effect depend on baseline walking speed and disease related disabilities? A systematic review and meta-regression.

BACKGROUND: It was suggested that robot-assisted gait training (RAGT) should not be routinely provid...

Shape constrained fully convolutional DenseNet with adversarial training for multiorgan segmentation on head and neck CT and low-field MR images.

PURPOSE: Image-guided radiotherapy provides images not only for patient positioning but also for onl...

Spatiotemporal gait characteristic changes with gait training using the hybrid assistive limb for chronic stroke patients.

BACKGROUND: Robotic rehabilitation has been attracting attention as a means to carry out "intensive"...