Staffing & Scheduling

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...

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...

Performance of Machine Learning-Based Multi-Model Voting Ensemble Methods for Network Threat Detection in Agriculture 4.0.

The upcoming agricultural revolution, known as Agriculture 4.0, integrates cutting-edge Information ...

A new ML-based approach to enhance student engagement in online environment.

The educational research is increasingly emphasizing the potential of student engagement and its imp...

Performance comparison of deep learning and machine learning methods in determining wetland water areas using EuroSAT dataset.

Wetlands are critical to the ecology because they maintain biodiversity and provide home for a varie...

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...

Prediction of the chromatographic hydrophobicity index with immobilized artificial membrane chromatography using simple molecular descriptors and artificial neural networks.

Screening of physicochemical properties should be considered one of the essential steps in the drug ...

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...

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...

Deep-Learning-Derived Evaluation Metrics Enable Effective Benchmarking of Computational Tools for Phosphopeptide Identification.

Tandem mass spectrometry (MS/MS)-based phosphoproteomics is a powerful technology for global phospho...

Effects of dataset size and interactions on the prediction performance of logistic regression and deep learning models.

BACKGROUND AND OBJECTIVE: Machine learning and deep learning models are very powerful in predicting ...

A systematic review of sutureless vascular anastomosis technologies.

Vascular anastomoses typically involve a handsewn technique requiring significant surgical training,...

DeepLC can predict retention times for peptides that carry as-yet unseen modifications.

The inclusion of peptide retention time prediction promises to remove peptide identification ambigui...

Review of Deep Learning-Based Atrial Fibrillation Detection Studies.

Atrial fibrillation (AF) is a common arrhythmia that can lead to stroke, heart failure, and prematur...

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...

Scoring Performance on the Y-Balance Test Using a Deep Learning Approach.

The Y Balance Test (YBT) is a dynamic balance assessment typically used in sports medicine. This wor...

Superelastic, Antifreezing, Antidrying, and Conductive Organohydrogels for Wearable Strain Sensors.

Sensors based on conductive hydrogels have received extensive attention in various fields, such as a...