Staffing & Scheduling

Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction.

PURPOSE: Probe-based confocal laser endomicroscopy (pCLE) is a recent imaging modality that allows p...

Healthcare Text Classification System and its Performance Evaluation: A Source of Better Intelligence by Characterizing Healthcare Text.

A machine learning (ML)-based text classification system has several classifiers. The performance ev...

Feasibility of robot-based perturbed-balance training during treadmill walking in a high-functioning chronic stroke subject: a case-control study.

BACKGROUND: For stroke survivors, balance deficits that persist after the completion of the rehabili...

A novel strategy for retention prediction of nucleic acids with their sequence information in ion-pair reversed phase liquid chromatography.

In this work, retention behaviors of oligonucleotides and double-stranded deoxyribonucleic acids (ds...

Bone mineral density in midlife long-term users of hormonal contraception in South Africa: relationship with obesity and menopausal status.

BACKGROUND: In South Africa, hormonal contraception is widely used in women over the age of 40 years...

Too Much of a Good Thing: How Novelty Biases and Vocabulary Influence Known and Novel Referent Selection in 18-Month-Old Children and Associative Learning Models.

Identifying the referent of novel words is a complex process that young children do with relative ea...

Dynamic Modeling and Interactive Performance of PARM: A Parallel Upper-Limb Rehabilitation Robot Using Impedance Control for Patients after Stroke.

The robot-assisted therapy has been demonstrated to be effective in the improvements of limb functio...

A hybrid approach to increase the informedness of CE-based data using locus-specific thresholding and machine learning.

The interpretation of genetic profiles require a robust and reliable method to discriminate true all...

PON-tstab: Protein Variant Stability Predictor. Importance of Training Data Quality.

Several methods have been developed to predict effects of amino acid substitutions on protein stabil...

Investigating the Effect of Simulator Functional Fidelity and Personalized Feedback on Central Venous Catheterization Training.

OBJECTIVE: To compare the effect of simulator functional fidelity (manikin vs a Dynamic Haptic Robot...

Resonance with subthreshold oscillatory drive organizes activity and optimizes learning in neural networks.

Network oscillations across and within brain areas are critical for learning and performance of memo...

The Impact of Protein Structure and Sequence Similarity on the Accuracy of Machine-Learning Scoring Functions for Binding Affinity Prediction.

It has recently been claimed that the outstanding performance of machine-learning scoring functions ...

Training replicable predictors in multiple studies.

This article considers replicability of the performance of predictors across studies. We suggest a g...

Training for mobility with exoskeleton robot in spinal cord injury patients: a pilot study.

BACKGROUND: Wearable robots are people-oriented robots designed to be worn all day, thus helping in ...

Approximate dynamic programming approaches for appointment scheduling with patient preferences.

During the appointment booking process in out-patient departments, the level of patient satisfaction...

The Role of Artificial Intelligence in Diagnostic Radiology: A Survey at a Single Radiology Residency Training Program.

PURPOSE: Advances in artificial intelligence applied to diagnostic radiology are predicted to have a...

Reviewing Clinical Effectiveness of Active Training Strategies of Platform-Based Ankle Rehabilitation Robots.

OBJECTIVE: This review aims to provide a systematical investigation of clinical effectiveness of act...

Face and content validity of Xperience Team Trainer: bed-side assistant training simulator for robotic surgery.

Motor and psychosocial impact of robot-assisted gait training in a real-world rehabilitation setting: A pilot study.

In the last decade robotic devices have been applied in rehabilitation to overcome walking disabilit...

Effective neural network training with adaptive learning rate based on training loss.

A method that uses an adaptive learning rate is presented for training neural networks. Unlike most ...

Deep learning for segmentation of brain tumors: Impact of cross-institutional training and testing.

BACKGROUND AND PURPOSE: Convolutional neural networks (CNNs) are commonly used for segmentation of b...