Staffing & Scheduling

Pair Potentials as Machine Learning Features.

Atom pairwise potential functions make up an essential part of many scoring functions for protein de...

Melanoma detection using adversarial training and deep transfer learning.

Skin lesion datasets consist predominantly of normal samples with only a small percentage of abnorma...

Development of a rapid GC-FID method to simultaneously determine triethylamine, diisopropylamine, and 1,1,3,3-tetramethylguanidine residues in an active pharmaceutical ingredient.

A rapid GC-FID method was developed to simultaneously determine residual levels of triethylamine (TE...

Systematic review with network meta-analysis of randomized controlled trials of robotic-assisted arm training for improving activities of daily living and upper limb function after stroke.

BACKGROUND: The aim of the present study was to to assess the relative effectiveness of the various ...

Machine learning prediction of combat basic training injury from 3D body shape images.

INTRODUCTION: Athletes and military personnel are both at risk of disabling injuries due to extreme ...

Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation.

Although having achieved great success in medical image segmentation, deep learning-based approaches...

Machine learning for genetic prediction of psychiatric disorders: a systematic review.

Machine learning methods have been employed to make predictions in psychiatry from genotypes, with t...

Controller synthesis and clinical exploration of wearable gyroscopic actuators to support human balance.

Gyroscopic actuators are appealing for wearable applications due to their ability to provide overgro...

Memory-Aware Active Learning in Mobile Sensing Systems.

We propose a novel active learning framework for activity recognition using wearable sensors. Our wo...

Disrupting clinical education: Using artificial intelligence to create training material.

Automatic segmentation of pelvic organs-at-risk using a fusion network model based on limited training samples.

Efficient and accurate methods are needed to automatically segmenting organs-at-risk (OAR) to accel...

Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis.

Supervised training of deep learning models requires large labeled datasets. There is a growing inte...

SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing.

PURPOSE: In the field of medical image analysis, deep learning methods gained huge attention over th...

A Multi-Objective Approach for Optimal Energy Management in Smart Home Using the Reinforcement Learning.

Maintaining a fair use of energy consumption in smart homes with many household appliances requires ...

Gait Event Detection for Stroke Patients during Robot-Assisted Gait Training.

Functional electrical stimulation and robot-assisted gait training are techniques which are used in ...

Automated Recognition of Retinal Pigment Epithelium Cells on Limited Training Samples Using Neural Networks.

PURPOSE: To develop a neural network (NN)-based approach, with limited training resources, that iden...

Artificial Intelligence Applications in Otology: A State of the Art Review.

OBJECTIVE: Recent advances in artificial intelligence (AI) are driving innovative new health care so...

Uncertainty-aware domain alignment for anatomical structure segmentation.

Automatic and accurate segmentation of anatomical structures on medical images is crucial for detect...

Operational framework and training standard requirements for AI-empowered robotic surgery.

BACKGROUND: For autonomous robot-delivered surgeries to ever become a feasible option, we recommend ...

Alloying conducting channels for reliable neuromorphic computing.

A memristor has been proposed as an artificial synapse for emerging neuromorphic computing applicati...

Maximal Performance of an Antagonistically Coupled Dielectric Elastomer Actuator System.

Dielectric elastomer actuators (DEAs) have been shown to produce electrically induced strains beyond...