Datasets

subject: Industrial Engineering

Total is 7 Results
Sensor-based indicators of performance changes between sessions during robotic surgery training

10.4231/HYVK-G966

Denny Yu ORCID logo

09/11/2020

Ro­botic surgery Eye track­ing Elec­troen­cephalo­gram Sim­u­lated train­ing Per­for­mance

Applied Ergonomics EEG Eye tracking Industrial Engineering NASA TLX performance Robotics Surgery workload dataset

TBI process maps - Feb 2018

10.4231/R7RJ4GP8

Siobhan M Heiden

03/27/2018

The following are included in this publication: 1) Overall TBI Process Map; 2) NCAA Sports Medicine Process Map; 3) Acute Care Process Map; 4) Inpatient Rehabilitation Process Map; 5) Outpatient Rehabilitation. These maps are products of a PhD...

Brain Industrial Engineering Process

Supporting Surgical Teams: Identifying Needs and Barriers for Exoskeleton Implementation in the Operating Room

10.4231/TF0A-S814

Denny Yu ORCID logo , Jackie Cha

11/05/2019

Findings from this work identify facilitators and barriers for sustained implementation of exoskeletons by surgical teams.

Ergonomics Industrial Engineering Surgery Usability Testing

Hurricane Dorian Tweet IDs

10.4231/CPGM-E419

Benjamin Rachunok ORCID logo , Douglas McWherter , Roshanak Nateghi ORCID logo

11/11/2019

Tweet IDs gathered in real-time during the impact of Hurricane Dorian. August 30th, 2019 through September 16th, 2019.

Disasters Hurricanes Industrial Engineering Resilience Social Media Social Media Analysis Social Sensing Tweets Twitter Weather

Structural attributes derived from Google Street View imagery, Louisiana coastal zone

10.4231/1TZX-BR43

David R Johnson ORCID logo , Ed Delp ORCID logo , Fu-Chen Chen ORCID logo , Mohammad Jahanshahi

07/28/2020

Structural attributes relevant to flood risk (foundation height/type, square footage, number of stories, building type), produced using machine learning for automated image analysis of GSV images.

flood risk Industrial Engineering Machine Learning structure attributes

Applying Design of Experiments to Evaluate Economic Feasibility of Rare-Earth Element Recovery – Supporting Information

10.4231/TWYR-J604

Aihua Huang , David Reed , Hongyue Jin , Jesus Perez-Cardona , John Sutherland , Sidi Deng ORCID logo , Vicki Thompson , Yuehwern Yih

01/06/2020

Raw and simulated data, statistical analysis results for the paper "Applying Design of Experiments to Evaluate Economic Feasibility of Rare-Earth Element Recovery" submitted to 27th CIRP Life Cycle Engineering Conference.

Critical Materials Institute (CMI) Design of Experiment (DOE) Industrial Engineering Rare-Earth Element (REE) Techno-Economic Assessment (TEA)

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