Staffing & Scheduling

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...

Improving the performance of machine learning models for biotechnology: The quest for deus ex machina.

Machine learning is becoming an integral part of the Design-Build-Test-Learn cycle in biotechnology....

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...

Bioprospecting of the novel isolate LA2(R) from the rhizosphere of .

The study aimed to assess the proficiency of secondary metabolites (SMs) synthesized by actinobacter...

Efficient Prediction of Missed Clinical Appointment Using Machine Learning.

Public health and its related facilities are crucial for thriving cities and societies. The optimum ...

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 ...

Curriculum learning for improved femur fracture classification: Scheduling data with prior knowledge and uncertainty.

An adequate classification of proximal femur fractures from X-ray images is crucial for the treatmen...

Early Catheter Removal on Postoperative Day 2 After Robot-assisted Radical Prostatectomy: Updated Real-life Experience with the Aalst Technique.

We evaluated the feasibility and impact on short- and long-term functional outcomes of very early ca...

Artificial intelligence as a diagnostic aid in cross-sectional radiological imaging of the abdominopelvic cavity: a protocol for a systematic review.

INTRODUCTION: The application of artificial intelligence (AI) technologies as a diagnostic aid in he...

Performance evaluation in [18F]Florbetaben brain PET images classification using 3D Convolutional Neural Network.

High accuracy has been reported in deep learning classification for amyloid brain scans, an importan...

Stand-Alone Machine Learning: More Work Is Needed.

A Machine Learning Framework for Balancing Training Sets of Sensor Sequential Data Streams.

The recent explosive growth in the number of smart technologies relying on data collected from senso...

Artificial Fuzzy-PID Gain Scheduling Algorithm Design for Motion Control in Differential Drive Mobile Robotic Platforms.

Mobile robots are promising devices which are dedicated to human comfort in all areas. However, the ...

Impacts of multicollinearity on CAPT modalities: An heterogeneous machine learning framework for computer-assisted French phoneme pronunciation training.

Phoneme pronunciations are usually considered as basic skills for learning a foreign language. Pract...

A new framework based on features modeling and ensemble learning to predict query performance.

A query optimizer attempts to predict a performance metric based on the amount of time elapsed. Theo...

SD-Net: joint surgical gesture recognition and skill assessment.

PURPOSE: Surgical gesture recognition has been an essential task for providing intraoperative contex...

Self-supervised driven consistency training for annotation efficient histopathology image analysis.

Training a neural network with a large labeled dataset is still a dominant paradigm in computational...

Using a multi-head, convolutional neural network with data augmentation to improve electropherogram classification performance.

DNA profiles are generated in forensic biology laboratories around the world. It is possible that th...

A Driving Performance Forecasting System Based on Brain Dynamic State Analysis Using 4-D Convolutional Neural Networks.

Vehicle accidents are the primary cause of fatalities worldwide. Most often, experiencing fatigue on...