Staffing & Scheduling

High-Performance Organic Electrochemical Transistors with Nanoscale Channel Length and Their Application to Artificial Synapse.

Organic electrochemical transistors (OECTs) have attracted considerable interests for various applic...

Relationship between Firefighter Physical Fitness and Special Ability Performance: Predictive Research Based on Machine Learning Algorithms.

Firefighters require a high level of physical fitness to meet the demands of their job. The correlat...

Associated Learning: Decomposing End-to-End Backpropagation Based on Autoencoders and Target Propagation.

Backpropagation (BP) is the cornerstone of today's deep learning algorithms, but it is inefficient p...

Oxide-Based Electrolyte-Gated Transistors for Spatiotemporal Information Processing.

Spiking neural networks (SNNs) sharing large similarity with biological nervous systems are promisin...

Robot-assisted Gait Training Using Welwalk in Hemiparetic Stroke Patients: An Effectiveness Study with Matched Control.

OBJECTIVE: Although studies on the efficacy of the rehabilitation robot are increasing, there are fe...

Predicting human health from biofluid-based metabolomics using machine learning.

Biofluid-based metabolomics has the potential to provide highly accurate, minimally invasive diagnos...

Wearable Biofeedback Improves Human-Robot Compliance during Ankle-Foot Exoskeleton-Assisted Gait Training: A Pre-Post Controlled Study in Healthy Participants.

The adjunctive use of biofeedback systems with exoskeletons may accelerate post-stroke gait rehabili...

Effects of walking distance over robot-assisted training on walking ability in chronic stroke patients.

An understanding of the dose-response during training is important to identify the rehabilitation pr...

An Investigation of Speech Features, Plant System Alarms, and Operator-System Interaction for the Classification of Operator Cognitive Workload During Dynamic Work.

OBJECTIVE: To investigate speech features, human-machine alarms, and operator-system interaction for...

The delineation of largely deformed brain midline using regression-based line detection network.

PURPOSE: The human brain has two cerebral hemispheres that are roughly symmetric and separated by a ...

SHIFT: speedy histological-to-immunofluorescent translation of a tumor signature enabled by deep learning.

Spatially-resolved molecular profiling by immunostaining tissue sections is a key feature in cancer ...

Performance vs. competence in human-machine comparisons.

Does the human mind resemble the machines that can behave like it? Biologically inspired machine-lea...

Deep learning for automated analysis of fish abundance: the benefits of training across multiple habitats.

Environmental monitoring guides conservation and is particularly important for aquatic habitats whic...

Robots at work: People prefer-and forgive-service robots with perceived feelings.

Organizations are increasingly relying on service robots to improve efficiency, but these robots oft...

Activity-based training with the Myosuit: a safety and feasibility study across diverse gait disorders.

BACKGROUND: Physical activity is a recommended part of treatment for numerous neurological and neuro...

Improving CNN training on endoscopic image data by extracting additionally training data from endoscopic videos.

In this work we present a technique to deal with one of the biggest problems for the application of ...

Characterization and wearability evaluation of a fully portable wrist exoskeleton for unsupervised training after stroke.

BACKGROUND: Chronic hand and wrist impairment are frequently present following stroke and severely l...

Pathology training in the age of artificial intelligence.

Artificial intelligence interventions focused on opioid use disorders: A review of the gray literature.

BACKGROUND: With the artificial intelligence (AI) paradigm shift comes momentum toward the developme...

Cyclic transitions between higher order motifs underlie sustained asynchronous spiking in sparse recurrent networks.

A basic-yet nontrivial-function which neocortical circuitry must satisfy is the ability to maintain ...

On the performance of fusion based planet-scope and Sentinel-2 data for crop classification using inception inspired deep convolutional neural network.

This research work aims to develop a deep learning-based crop classification framework for remotely ...