Staffing & Scheduling

Standardized motion detection and real time heart rate monitoring of aerobics training based on convolution neural network.

In order to make the teaching and training of aerobics more standardized, it is necessary to use sci...

Prediction sets adaptive to unknown covariate shift.

Predicting sets of outcomes-instead of unique outcomes-is a promising solution to uncertainty quanti...

A simple and reliable instance selection for fast training support vector machine: Valid Border Recognition.

Support vector machines (SVMs) are powerful statistical learning tools, but their application to lar...

Improving Compound-Protein Interaction Prediction by Self-Training with Augmenting Negative Samples.

Identifying compound-protein interactions (CPIs) is crucial for drug discovery. Since experimentally...

Understanding Biases and Disparities in Radiology AI Datasets: A Review.

Artificial intelligence (AI) continues to show great potential in disease detection and diagnosis on...

A cost-effective model for training in Robot-Assisted Sacrocolpopexy.

BACKGROUND: The number of robotically assisted sacrocolpopexy procedures are increasing; therefore, ...

An unsupervised two-step training framework for low-dose computed tomography denoising.

BACKGROUND: Although low-dose computed tomography (CT) imaging has been more widely adopted in clini...

Experience matters for robotic assistance: an analysis of case data.

Many robotic procedures require active participation by assistants. Most prior work on assistants' e...

Toward Intrinsic Adversarial Robustness Through Probabilistic Training.

Modern deep neural networks have made numerous breakthroughs in real-world applications, yet they re...

Systematic review: robot-assisted versus conventional laparoscopic multiport cholecystectomy.

Laparoscopic cholecystectomy has become the standard of care for the treatment of symptomatic gallst...

Athlete body fat rate monitoring and motion image simulation based on SDN data center network and sensors.

With the development of artificial intelligence technology, new software is also emerging in an endl...

Whole Slide Imaging Technology and Its Applications: Current and Emerging Perspectives.

. Whole slide imaging (WSI) represents a paradigm shift in pathology, serving as a necessary first s...

Robot-assisted gait training using an end-effector type robot in a patient with bilateral transtibial amputation and cerebellar ataxia.

Extended performance analysis of deep-learning algorithms for mice vocalization segmentation.

Ultrasonic vocalizations (USVs) analysis represents a fundamental tool to study animal communication...

Applying a Smartwatch to Predict Work-related Fatigue for Emergency Healthcare Professionals: Machine Learning Method.

INTRODUCTION: Healthcare professionals frequently experience work-related fatigue, which may jeopard...

New Robotic Platforms in General Surgery: What's the Current Clinical Scenario?

: Robotic surgery has been widely adopted in general surgery worldwide but access to this technology...

Evaluating the Performance of Pre-Trained Convolutional Neural Network for Audio Classification on Embedded Systems for Anomaly Detection in Smart Cities.

Environmental Sound Recognition (ESR) plays a crucial role in smart cities by accurately categorizin...

Editorial for "Weakly Supervised MRI Slice-Level Deep Learning Classification of Prostate Cancer Approximates Full Voxel- and Slice-Level Annotation: Effect of Increasing Training Set Size".

Enhanced regularization for on-chip training using analog and temporary memory weights.

In-memory computing techniques are used to accelerate artificial neural network (ANN) training and i...

Automatic stridor detection using small training set via patch-wise few-shot learning for diagnosis of multiple system atrophy.

Stridor is a rare but important non-motor symptom that can support the diagnosis and prediction of w...

Propensity matched analysis of robotic and laparoscopic operations for mid-low rectal cancer: short-term comparison of anal function and oncological outcomes.

Laparoscopic surgery for rectal cancer, while in some respects equivalent or even preferable to open...