Work Force

Adaptive Weighted Discriminator for Training Generative Adversarial Networks.

Generative adversarial network (GAN) has become one of the most important neural network models for ...

An Empirical Study of Training Data Selection Methods for Ranking-Oriented Cross-Project Defect Prediction.

Ranking-oriented cross-project defect prediction (ROCPDP), which ranks software modules of a new tar...

Study on augmented reality for robotic surgery bedside assistants.

Robotic surgery bedside assistants play an important role in robotic procedures by performing intra-...

Contemporary robotic cardiac surgical training.

Caffeine-carbohydrate mouth-rinsing counter-acts an observed negative effect of mouth-rinsing procedure during sprint-endurance training performance in fasted athletes: A pilot study.

Carbohydrate mouth-rinsing has been reported to benefit endurance performance in athletes intermitte...

Combined Feedback Feedforward Control of a 3-Link Musculoskeletal System Based on the Iterative Training Method.

The investigation and study of the limbs, especially the human arm, have inspired a wide range of hu...

Self-Ensembling Co-Training Framework for Semi-Supervised COVID-19 CT Segmentation.

The coronavirus disease 2019 (COVID-19) has become a severe worldwide health emergency and is spread...

Machine learning versus traditional methods for the development of risk stratification scores: a case study using original Canadian Syncope Risk Score data.

Artificial Intelligence and machine learning (ML) methods are promising for risk-stratification, but...

Beneficial Effects of Robot-Assisted Gait Training on Functional Recovery in Women after Stroke: A Cohort Study.

Robot-assisted gait training (RAGT) could be a rehabilitation option for patients after experiencin...

A novel deep neuroevolution-based image classification method to diagnose coronavirus disease (COVID-19).

COVID-19 has had a detrimental impact on normal activities, public safety, and the global financial ...

Coalescent-based species delimitation meets deep learning: Insights from a highly fragmented cactus system.

Delimiting species boundaries is a major goal in evolutionary biology. An increasing volume of liter...

Identifying curriculum content for a cross-specialty robotic-assisted surgery training program: a Delphi study.

BACKGROUND: Robotic-assisted surgery is increasing and there is a need for a structured and evidence...

Incremental Unsupervised Domain-Adversarial Training of Neural Networks.

In the context of supervised statistical learning, it is typically assumed that the training set com...

Quantification of pulmonary involvement in COVID-19 pneumonia by means of a cascade of two U-nets: training and assessment on multiple datasets using different annotation criteria.

PURPOSE: This study aims at exploiting artificial intelligence (AI) for the identification, segmenta...

Adaptive Athlete Training Plan Generation: An intelligent control systems approach.

OBJECTIVES: The planning and control of team sport training activities is an extremely important asp...

Application of Deep Learning Models for Automated Identification of Parkinson's Disease: A Review (2011-2021).

Parkinson's disease (PD) is the second most common neurodegenerative disorder affecting over 6 milli...

A qualitative exploration of care homes workers' views and training needs in relation to the use of socially assistive humanoid robots in their workplace.

AIM: The study aimed to explore the views and attitudes of care home workers about the socially assi...

Effects of Robot-Assisted Gait Training in Patients With Multiple Sclerosis: A Single-Blinded Randomized Controlled Study.

OBJECTIVE: This study aims to evaluate and compare the effects of conventional and robot-assisted ga...

Zenithal isotropic object counting by localization using adversarial training.

Counting objects in images is a very time-consuming task for humans that yields to errors caused by ...

Interpolation consistency training for semi-supervised learning.

We introduce Interpolation Consistency Training (ICT), a simple and computation efficient algorithm ...

The augmented radiologist: artificial intelligence in the practice of radiology.

In medicine, particularly in radiology, there are great expectations in artificial intelligence (AI)...