title
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stringdate 1800-01-01 00:00:00
2025-01-01 00:00:00
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Sacrificial layer technique for axial force post assay of immature cardiomyocytes
|
2013
|
Biomedical microdevices 15 (1), 171-181, 2013
| 56 |
eDzzGUQAAAAJ:Y0pCki6q_DkC
|
Taylor
|
Mechanical Engineering
|
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] |
Scientific Discovery at the Press of a Button: Navigating Emerging Cloud Laboratory Technology
|
2024
|
Advanced Materials Technologies, 2400084, 2024
| 1 |
eDzzGUQAAAAJ:L1USKYWJimsC
|
Taylor
|
Mechanical Engineering
|
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] |
Self-Assembly of Gamma-Modified Peptide Nucleic Acids into Complex Nanostructures in Organic Solvent Mixtures
|
2020
|
JoVE (Journal of Visualized Experiments), e61351, 2020
| 3 |
eDzzGUQAAAAJ:buQ7SEKw-1sC
|
Taylor
|
Mechanical Engineering
|
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] |
Self-assembling single cells across microposts: First axial force measurements in immature cardiomyocytes
|
2010
|
Proc. Solid State Sens., Actuators, Microsystems Workshop, Hilton Head, SC, 2010
| 2 |
eDzzGUQAAAAJ:prdVHNxh-e8C
|
Taylor
|
Mechanical Engineering
|
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] |
Shape-Responsive Nanostructures
|
2022
|
US Patent App. 17/599,423, 2022
| 0 |
eDzzGUQAAAAJ:cK4Rrx0J3m0C
|
Taylor
|
Mechanical Engineering
|
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] |
Steering Magnetic Robots in Two Axes with One Pair of Maxwell Coils*
|
2020
|
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
| 3 |
eDzzGUQAAAAJ:48xauSegjOkC
|
Taylor
|
Mechanical Engineering
|
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] |
Stretchable microelectrode array using room-temperature liquid alloy interconnects
|
2011
|
Journal of Micromechanics and Microengineering 21 (5), 054015, 2011
| 18 |
eDzzGUQAAAAJ:2osOgNQ5qMEC
|
Taylor
|
Mechanical Engineering
|
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] |
Stretchable, conformal microelectrode array fabricated with patterned flex circuit technology
|
2013
|
Proc. 7th Int. Conf. on Microtechnologies in Medicine and Biology, 2013
| 2 |
eDzzGUQAAAAJ:eQOLeE2rZwMC
|
Taylor
|
Mechanical Engineering
|
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] |
Synchronized Mechanical and Electrical Stimulation of Primary Heart Cells with a Stretchable Microelectrode Array
|
2009
|
MEMS in Medicine and Biology, 2009
| 2 |
eDzzGUQAAAAJ:qjMakFHDy7sC
|
Taylor
|
Mechanical Engineering
|
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] |
Synthetic cell armor made of DNA origami
|
2023
|
Nano Letters 23 (15), 7076-7085, 2023
| 10 |
eDzzGUQAAAAJ:LdasjJ6CEcoC
|
Taylor
|
Mechanical Engineering
|
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] |
The effects of overhang placement and multivalency on cell labeling by DNA origami
|
2021
|
Nanoscale 13 (14), 6819-6828, 2021
| 19 |
eDzzGUQAAAAJ:ubry08Y2EpUC
|
Taylor
|
Mechanical Engineering
|
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] |
The phenomenon of twisted growth: humeral torsion in dominant arms of high performance tennis players
|
2009
|
Computer Methods in Biomechanics and Biomedical Engineering 12 (1), 83-93, 2009
| 60 |
eDzzGUQAAAAJ:u5HHmVD_uO8C
|
Taylor
|
Mechanical Engineering
|
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] |
Tools for Studying Biomechanical Interactions in Cells
|
2011
|
Mechanobiology of Cell-Cell and Cell-Matrix Interactions, 233-265, 2011
| 12 |
eDzzGUQAAAAJ:UeHWp8X0CEIC
|
Taylor
|
Mechanical Engineering
|
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] |
Towards CMOS Capacitance Sensors for DNA Origami Characterization
|
2023
|
2023 International Electron Devices Meeting (IEDM), 1-4, 2023
| 0 |
eDzzGUQAAAAJ:owLR8QvbtFgC
|
Taylor
|
Mechanical Engineering
|
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] |
Understanding the Effects of Cardiomyopathy Causing Mutations on Human Beta Cardiac Myosin Biomechanical Function
|
2014
|
Biophysical Journal 106 (2), 156a, 2014
| 0 |
eDzzGUQAAAAJ:_FxGoFyzp5QC
|
Taylor
|
Mechanical Engineering
|
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] |
Vitro: Designing a Voice Assistant for the Scientific Lab Workplace
|
2019
|
Proceedings of the 2019 on Designing Interactive Systems Conference, 1531-1542, 2019
| 30 |
eDzzGUQAAAAJ:uDGL6kOW6j0C
|
Taylor
|
Mechanical Engineering
|
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] |
3d design using generative adversarial networks and physics-based validation
|
2020
|
Journal of Mechanical Design 142 (7), 071701, 2020
| 132 |
8N6uFIkAAAAJ:ZIQyR8VWHtoC
|
Tucker
|
Mechanical Engineering
|
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] |
A Bayesian Sampling Method for Product Feature Extraction from Large Scale Textual Data
|
2016
|
Journal of Mechanical Design, 2016
| 46 |
8N6uFIkAAAAJ:BqipwSGYUEgC
|
Tucker
|
Mechanical Engineering
|
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] |
A Convolutional Neural Network Model for Predicting a Product's Function, Given Its Form
|
2017
|
Journal of Mechanical Design 139 (11), 111408, 2017
| 62 |
8N6uFIkAAAAJ:bzhzIcV5SW4C
|
Tucker
|
Mechanical Engineering
|
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] |
A Deep Learning Model for Mining Object-Energy Correlations Using Social Media Image Data
|
2018
|
International Design Engineering Technical Conferences and Computers and …, 2018
| 0 |
8N6uFIkAAAAJ:jD_Q_A4-jPwC
|
Tucker
|
Mechanical Engineering
|
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] |
A ReliefF attribute weighting and X-means clustering methodology for top-down product family optimization
|
2010
|
Engineering Optimization 42 (7), 593-616, 2010
| 37 |
8N6uFIkAAAAJ:9yKSN-GCB0IC
|
Tucker
|
Mechanical Engineering
|
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] |
A Study on the Effectiveness of the CLICK Approach in an Operations Research Course
|
2021
|
ASEE annual conference, 2021
| 5 |
8N6uFIkAAAAJ:_8B_re9sV0EC
|
Tucker
|
Mechanical Engineering
|
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] |
A Study on the Effectiveness of using Integrated Nonlinear Storytelling and Simulation-based Learning Game in an Operations Research Course
|
2022
|
ASEE Annual Conference proceedings, 2022
| 3 |
8N6uFIkAAAAJ:COU-sansr_wC
|
Tucker
|
Mechanical Engineering
|
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] |
A Validation Neural Network (VNN) metamodel for predicting the performance of deep generative designs
|
2018
|
International Design Engineering Technical Conferences and Computers and …, 2018
| 3 |
8N6uFIkAAAAJ:ujJXPdh5xs4C
|
Tucker
|
Mechanical Engineering
|
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] |
A Virtual Reality Approach for Minimizing Information Loss in Multi-User, Scalable Environments
|
2015
|
International Design Engineering Technical Conferences and Computers and …, 2015
| 1 |
8N6uFIkAAAAJ:k_IJM867U9cC
|
Tucker
|
Mechanical Engineering
|
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] |
A bisociative design framework for knowledge discovery across seemingly unrelated product domains
|
2012
|
International design engineering technical conferences and computers and …, 2012
| 13 |
8N6uFIkAAAAJ:0EnyYjriUFMC
|
Tucker
|
Mechanical Engineering
|
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] |
A comparative study of data-intensive demand modeling techniques in relation to product design and development
|
2009
|
International Design Engineering Technical Conferences and Computers and …, 2009
| 14 |
8N6uFIkAAAAJ:2osOgNQ5qMEC
|
Tucker
|
Mechanical Engineering
|
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] |
A computer vision approach for automatically mining and classifying end of life products and components
|
2015
|
International Design Engineering Technical Conferences and Computers and …, 2015
| 6 |
8N6uFIkAAAAJ:M3NEmzRMIkIC
|
Tucker
|
Mechanical Engineering
|
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A data mining driven approach to real-time classroom feedback through multimodal sensing
| null | 0 |
8N6uFIkAAAAJ:mVmsd5A6BfQC
|
Tucker
|
Mechanical Engineering
|
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] |
|
A data mining methodology for predicting early stage Parkinson's disease using non-invasive, high-dimensional gait sensor data
|
2015
|
IIE transactions on healthcare systems engineering 5 (4), 238-254, 2015
| 31 |
8N6uFIkAAAAJ:bEWYMUwI8FkC
|
Tucker
|
Mechanical Engineering
|
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] |
A data mining trajectory clustering methodology for modeling indoor design space utilization
|
2013
|
International Design Engineering Technical Conferences and Computers and …, 2013
| 8 |
8N6uFIkAAAAJ:8k81kl-MbHgC
|
Tucker
|
Mechanical Engineering
|
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A deep learning game theoretic model for defending against large scale smart grid attacks
|
2022
|
IEEE Transactions on Smart Grid 14 (2), 1188-1197, 2022
| 15 |
8N6uFIkAAAAJ:10ZmGoIvuzkC
|
Tucker
|
Mechanical Engineering
|
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] |
A machine learning approach to product review disambiguation based on function, form and behavior classification
|
2017
|
Decision Support Systems 97, 81-91, 2017
| 91 |
8N6uFIkAAAAJ:mZB2-lCpWbQC
|
Tucker
|
Mechanical Engineering
|
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] |
A physics-based virtual environment for enhancing the quality of deep generative designs
|
2018
|
International Design Engineering Technical Conferences and Computers and …, 2018
| 16 |
8N6uFIkAAAAJ:oEW5MyxtvQ4C
|
Tucker
|
Mechanical Engineering
|
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] |
A pilot study investigating STEM learners’ ability to decipher AI-generated video
|
2021
|
2021 ASEE Virtual Annual Conference Content Access, 2021
| 2 |
8N6uFIkAAAAJ:gqMmJtG4vxUC
|
Tucker
|
Mechanical Engineering
|
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] |
A privacy preserving data mining methodology for dynamically predicting emerging human threats
|
2013
|
International Design Engineering Technical Conferences and Computers and …, 2013
| 4 |
8N6uFIkAAAAJ:3fE2CSJIrl8C
|
Tucker
|
Mechanical Engineering
|
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] |
A product feature inference model for mining implicit customer preferences within large scale social media networks
|
2015
|
International Design Engineering Technical Conferences and Computers and …, 2015
| 24 |
8N6uFIkAAAAJ:TQgYirikUcIC
|
Tucker
|
Mechanical Engineering
|
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] |
A quantitative method for evaluating the complexity of implementing and performing game features in physically-interactive gamified applications
|
2017
|
Computers in Human Behavior 71, 42-58, 2017
| 40 |
8N6uFIkAAAAJ:SeFeTyx0c_EC
|
Tucker
|
Mechanical Engineering
|
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] |
A semantic network model for measuring engagement and performance in online learning platforms
|
2018
|
Computer Applications in Engineering Education 26 (5), 1481-1492, 2018
| 32 |
8N6uFIkAAAAJ:eiwtZcG9oBcC
|
Tucker
|
Mechanical Engineering
|
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] |
A sparsity preserving genetic algorithm for extracting diverse functional 3D designs from deep generative neural networks
|
2020
|
Design Science 6, e11, 2020
| 11 |
8N6uFIkAAAAJ:YpRCXavlr0AC
|
Tucker
|
Mechanical Engineering
|
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0.05990450084209442,
0.0005696705775335431,
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0.003928514663130045,
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] |
Accelerating process development for 3D printing of new metal alloys
|
2024
|
Nature Communications 15 (1), 582, 2024
| 15 |
8N6uFIkAAAAJ:Fla6ZGMkO9sC
|
Tucker
|
Mechanical Engineering
|
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] |
Accessible Digital Reconstruction and Mechanical Prediction of 3D-Printed Prosthetics
|
2025
|
Journal of Mechanical Design 147 (6), 2025
| 0 |
8N6uFIkAAAAJ:QBJtjoHflPwC
|
Tucker
|
Mechanical Engineering
|
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] |
Adaptive gamification and its impact on performance
|
2021
|
International conference on human-computer interaction, 327-341, 2021
| 18 |
8N6uFIkAAAAJ:i_ypWuZoRC8C
|
Tucker
|
Mechanical Engineering
|
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] |
AdditiveGDL: Generative deep learning for predicting local thermal distributions in metal 3D-printed layers
|
2024
| 0 |
8N6uFIkAAAAJ:Sipo1f_CKiIC
|
Tucker
|
Mechanical Engineering
|
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] |
|
An Automated Object-Task Mining Model for Providing Students with Real Time Performance Feedback
|
2015
|
2015 ASEE Annual Conference & Exposition, 26.178. 1-26.178. 13, 2015
| 4 |
8N6uFIkAAAAJ:U6twwk6Vgq8C
|
Tucker
|
Mechanical Engineering
|
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] |
An analysis of complexity measures for product design and development
|
2012
|
International Design Engineering Technical Conferences and Computers and …, 2012
| 20 |
8N6uFIkAAAAJ:5nxA0vEk-isC
|
Tucker
|
Mechanical Engineering
|
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] |
An automated approach to quantifying functional interactions by mining large-scale product specification data
|
2016
|
Journal of Engineering Design 27 (1-3), 1-24, 2016
| 20 |
8N6uFIkAAAAJ:iH-uZ7U-co4C
|
Tucker
|
Mechanical Engineering
|
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] |
An ensemble heterogeneous classification methodology for discovering health-related knowledge in social media messages
|
2014
|
Journal of biomedical informatics 49, 255-268, 2014
| 144 |
8N6uFIkAAAAJ:YOwf2qJgpHMC
|
Tucker
|
Mechanical Engineering
|
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] |
An introduction to the click approach: Leveraging virtual reality to integrate the industrial engineering curriculum
|
2019
|
ASEE annual conference & exposition, 2019
| 10 |
8N6uFIkAAAAJ:fZtrMt_Z7PsC
|
Tucker
|
Mechanical Engineering
|
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-0.04229823872447014,
0.006258516106754541,
0.03252115473151207,
0.02660638652741909,
-0.017485326156020164,
0.018766630440950394,
0.07318289577960968,
0.04106120020151138,
0.025263838469982147,
0.016392402350902557,
-0.025269556790590286
] |
An investigation of surrogate models for efficient performance-based decoding of 3D point clouds
|
2019
|
Journal of Mechanical Design 141 (12), 121401, 2019
| 30 |
8N6uFIkAAAAJ:6uOcHTua4cQC
|
Tucker
|
Mechanical Engineering
|
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] |
An unsupervised machine learning approach to assessing designer performance during physical prototyping
|
2018
|
Journal of Computing and Information Science in Engineering 18 (1), 011002, 2018
| 25 |
8N6uFIkAAAAJ:GpOSJs1ZbLkC
|
Tucker
|
Mechanical Engineering
|
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] |
An unsupervised machine learning method for discovering patient clusters based on genetic signatures
|
2018
|
Journal of biomedical informatics 85, 30-39, 2018
| 142 |
8N6uFIkAAAAJ:WY6AygvC5sMC
|
Tucker
|
Mechanical Engineering
|
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] |
An unsupervised machine learning model for discovering latent infectious diseases using social media data
|
2017
|
Journal of biomedical informatics 66, 82-94, 2017
| 168 |
8N6uFIkAAAAJ:2P1L_qKh6hAC
|
Tucker
|
Mechanical Engineering
|
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] |
Artificial Intelligence and its Impact on Engineering Design and Manufacturing
|
2022
|
대한기계학회 춘추학술대회, 36-36, 2022
| 0 |
8N6uFIkAAAAJ:mmBnJtEBTSAC
|
Tucker
|
Mechanical Engineering
|
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] |
Artificial intelligence and engineering design
|
2022
|
Journal of mechanical design 144 (2), 020301, 2022
| 29 |
8N6uFIkAAAAJ:KaRcLhEUy5UC
|
Tucker
|
Mechanical Engineering
|
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] |
Assessing causal claims about complex engineered systems with quantitative data: internal, external, and construct validity
|
2017
|
Systems Engineering 20 (6), 483-496, 2017
| 48 |
8N6uFIkAAAAJ:nIr65G9GQVgC
|
Tucker
|
Mechanical Engineering
|
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] |
Assessing students’ emotional states: An approach to identify lectures that provide an enhanced learning experience
|
2014
|
International Design Engineering Technical Conferences and Computers and …, 2014
| 10 |
8N6uFIkAAAAJ:7PzlFSSx8tAC
|
Tucker
|
Mechanical Engineering
|
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] |
Assessment of product archaeology as a framework for contextualizing engineering design
|
2014
|
2014 ASEE Annual Conference & Exposition, 24.214. 1-24.214. 18, 2014
| 1 |
8N6uFIkAAAAJ:NMxIlDl6LWMC
|
Tucker
|
Mechanical Engineering
|
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] |
Automated Discovery of Lead
| null | 0 |
8N6uFIkAAAAJ:ZHo1McVdvXMC
|
Tucker
|
Mechanical Engineering
|
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] |
|
Automated Discovery of Lead Users and Latent Product Features by Mining Large Scale Social Media Networks
|
2015
|
Journal of Mechanical Design 137 (7), 2015
| 109 |
8N6uFIkAAAAJ:TFP_iSt0sucC
|
Tucker
|
Mechanical Engineering
|
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] |
Automated concept generation based on function-form synthesis
|
2015
|
International Design Engineering Technical Conferences and Computers and …, 2015
| 14 |
8N6uFIkAAAAJ:blknAaTinKkC
|
Tucker
|
Mechanical Engineering
|
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] |
Automated concept generation based on function-form synthesis
|
2015
|
ASME 2015 International Design Engineering Technical Conferences and …, 2015
| 0 |
8N6uFIkAAAAJ:J6qkoyn5ZssC
|
Tucker
|
Mechanical Engineering
|
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] |
Automated discovery of product feature inferences within large-scale implicit social media data
|
2018
|
Journal of Computing and Information Science in Engineering 18 (2), 021017, 2018
| 11 |
8N6uFIkAAAAJ:yY8dUDjMDt8C
|
Tucker
|
Mechanical Engineering
|
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] |
Automated discovery of product preferences in ubiquitous social media data: A case study of automobile market
|
2016
|
2016 International Computer Science and Engineering Conference (ICSEC), 1-6, 2016
| 6 |
8N6uFIkAAAAJ:KKhxhHPhcTsC
|
Tucker
|
Mechanical Engineering
|
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] |
Automated mapping of product features mined from online customer reviews to engineering product characteristics
|
2016
|
International design engineering technical conferences and computers and …, 2016
| 12 |
8N6uFIkAAAAJ:vV6vV6tmYwMC
|
Tucker
|
Mechanical Engineering
|
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] |
Automatic discovery of service name replacements using ledger data
|
2015
|
2015 IEEE International Conference on Services Computing, 624-631, 2015
| 4 |
8N6uFIkAAAAJ:R3hNpaxXUhUC
|
Tucker
|
Mechanical Engineering
|
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] |
Automatic facial feature extraction for predicting designers' comfort with engineering equipment during prototype creation
|
2017
|
Journal of Mechanical Design 139 (2), 021102, 2017
| 26 |
8N6uFIkAAAAJ:35N4QoGY0k4C
|
Tucker
|
Mechanical Engineering
|
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] |
Autoregressive Graph Network for Learning Multi-step Physics
| null | 0 |
8N6uFIkAAAAJ:QAsQKsfVUN4C
|
Tucker
|
Mechanical Engineering
|
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] |
|
Board# 146: Early Predicting of Student Struggles Using Body Language
|
2017
|
2017 ASEE Annual Conference & Exposition, 2017
| 1 |
8N6uFIkAAAAJ:oR5SthnA400C
|
Tucker
|
Mechanical Engineering
|
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] |
Board# 91: When to Provide Feedback? Exploring Human-Co-Robot Interactions in Engineering Environments
|
2017
|
2017 ASEE Annual Conference & Exposition, 2017
| 5 |
8N6uFIkAAAAJ:_V0JUKP8578C
|
Tucker
|
Mechanical Engineering
|
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] |
Bond-DQN: Deep Q-Learning of Lumped-Element Systems Design via Bond Graphs
|
2024
|
International Design Engineering Technical Conferences and Computers and …, 2024
| 0 |
8N6uFIkAAAAJ:yKZlB_2wKysC
|
Tucker
|
Mechanical Engineering
|
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] |
Bounded Kalman filter method for motion-robust, non-contact heart rate estimation
|
2018
|
Biomedical optics express 9 (2), 873-897, 2018
| 74 |
8N6uFIkAAAAJ:-R_Z4shfoosC
|
Tucker
|
Mechanical Engineering
|
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] |
Capturing Emergent Behavior In Systems Of Systems Design Through Data Trend Mining.
|
2010
|
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2010
| 0 |
8N6uFIkAAAAJ:Wp0gIr-vW9MC
|
Tucker
|
Mechanical Engineering
|
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] |
Capturing emergent behavior in multi-response systems through data trend mining
|
2010
|
13th AIAA/ISSMO Multidisciplinary Analysis Optimization Conference, 9322, 2010
| 0 |
8N6uFIkAAAAJ:W7OEmFMy1HYC
|
Tucker
|
Mechanical Engineering
|
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] |
Categorization of Information Loss During the Dissemination of Design Ideas
|
2018
|
International Design Engineering Technical Conferences and Computers and …, 2018
| 1 |
8N6uFIkAAAAJ:8VbLR7ExW8oC
|
Tucker
|
Mechanical Engineering
|
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] |
Classification of unlabeled online media
|
2021
|
Scientific reports 11 (1), 6908, 2021
| 2 |
8N6uFIkAAAAJ:XepLwY2JfocC
|
Tucker
|
Mechanical Engineering
|
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] |
Comparing attribute-and form-based machine learning techniques for component prediction
|
2020
|
International Design Engineering Technical Conferences and Computers and …, 2020
| 8 |
8N6uFIkAAAAJ:R6aXIXmdpM0C
|
Tucker
|
Mechanical Engineering
|
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] |
Connected Learning and Integrated Course Knowledge (CLICK) Approach
|
2021
|
ASEE annual conference, 2021
| 1 |
8N6uFIkAAAAJ:8RJSsxxtMAkC
|
Tucker
|
Mechanical Engineering
|
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] |
Connecting the Real-World and the Virtual World Through Dynamic Environment Rendering
|
2017
|
International Design Engineering Technical Conferences and Computers and …, 2017
| 0 |
8N6uFIkAAAAJ:afsF9h1fxg0C
|
Tucker
|
Mechanical Engineering
|
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] |
Culturally competent social robots target inclusion in Africa
|
2023
|
Science Robotics 8 (85), eadm7012, 2023
| 4 |
8N6uFIkAAAAJ:6lhY8CtEloYC
|
Tucker
|
Mechanical Engineering
|
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] |
Cybersecurity policies and their impact on dynamic data driven application systems
|
2017
|
2017 IEEE 2nd International Workshops on Foundations and Applications of …, 2017
| 10 |
8N6uFIkAAAAJ:eTOb990cMygC
|
Tucker
|
Mechanical Engineering
|
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DETC2013-12651
| null | 0 |
8N6uFIkAAAAJ:rPbfW60zdgkC
|
Tucker
|
Mechanical Engineering
|
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] |
|
Data trend mining for predictive systems design
|
2011
|
University of Illinois at Urbana-Champaign, 2011
| 1 |
8N6uFIkAAAAJ:UeHWp8X0CEIC
|
Tucker
|
Mechanical Engineering
|
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] |
Data-driven decision tree classification for product portfolio design optimization
|
2009
| 89 |
8N6uFIkAAAAJ:u-x6o8ySG0sC
|
Tucker
|
Mechanical Engineering
|
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] |
|
Data-driven optimization of dynamic reconfigurable systems of systems.
|
2010
|
Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA …, 2010
| 0 |
8N6uFIkAAAAJ:Tyk-4Ss8FVUC
|
Tucker
|
Mechanical Engineering
|
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] |
Data-mining driven reconfigurable product family design framework for aerodynamic particle separators
|
2008
|
12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 6065, 2008
| 0 |
8N6uFIkAAAAJ:eQOLeE2rZwMC
|
Tucker
|
Mechanical Engineering
|
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] |
Data-throughput enhancement using data mining-informed cognitive radio
|
2015
|
Electronics 4 (2), 221-238, 2015
| 35 |
8N6uFIkAAAAJ:hFOr9nPyWt4C
|
Tucker
|
Mechanical Engineering
|
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] |
Deep Reinforcement Learning for Transfer of Control Policies
|
2019
|
ASME 2019 International Design Engineering Technical Conferences and …, 2019
| 0 |
8N6uFIkAAAAJ:9N3KX2BFTccC
|
Tucker
|
Mechanical Engineering
|
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] |
Deep reinforcement learning for procedural content generation of 3d virtual environments
|
2020
|
Journal of Computing and Information Science in Engineering 20 (5), 051005, 2020
| 30 |
8N6uFIkAAAAJ:dtdq7L-L3iMC
|
Tucker
|
Mechanical Engineering
|
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-0.021283231675624847,
0.02061368152499199,
0.013955765403807163,
0.0032145658042281866,
0.0026281573809683323,
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-0.004869226831942797
] |
Deepfakes and scientific knowledge dissemination
|
2023
|
Scientific reports 13 (1), 13429, 2023
| 39 |
8N6uFIkAAAAJ:qVBRRHSSJ04C
|
Tucker
|
Mechanical Engineering
|
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] |
Design and Evaluation of Privacy-Preserving Protocols for Agent-Facilitated Mobile Money Services in Kenya
|
2024
|
arXiv preprint arXiv:2412.18716, 2024
| 0 |
8N6uFIkAAAAJ:TA1nTKmGtTgC
|
Tucker
|
Mechanical Engineering
|
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] |
Detection of system compromise in additive manufacturing using video motion magnification
|
2020
|
Journal of Mechanical Design 142 (3), 031109, 2020
| 22 |
8N6uFIkAAAAJ:uimFh4UyggMC
|
Tucker
|
Mechanical Engineering
|
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] |
Digital representation of physical artifacts: The effect of low cost, high accuracy 3d scanning technologies on engineering education, student learning and design evaluation
|
2013
|
International Design Engineering Technical Conferences and Computers and …, 2013
| 16 |
8N6uFIkAAAAJ:MXK_kJrjxJIC
|
Tucker
|
Mechanical Engineering
|
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] |
Discovering discontinuity in big financial transaction data
|
2018
|
ACM Transactions on Management Information Systems (TMIS) 9 (1), 1-26, 2018
| 11 |
8N6uFIkAAAAJ:YJSMXgW81ikC
|
Tucker
|
Mechanical Engineering
|
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] |
Discovering health-related knowledge in social media using ensembles of heterogeneous features
|
2013
|
Proceedings of the 22nd ACM international conference on Information …, 2013
| 32 |
8N6uFIkAAAAJ:LkGwnXOMwfcC
|
Tucker
|
Mechanical Engineering
|
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] |
Discovering next generation product innovations by identifying lead user preferences expressed through large scale social media data
|
2014
|
International Design Engineering Technical Conferences and Computers and …, 2014
| 48 |
8N6uFIkAAAAJ:M3ejUd6NZC8C
|
Tucker
|
Mechanical Engineering
|
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] |
Do technological advancements lead to learning enhancements?: an exploration in virtual product dissection
|
2017
|
International Design Engineering Technical Conferences and Computers and …, 2017
| 16 |
8N6uFIkAAAAJ:K_uVUG1YJAoC
|
Tucker
|
Mechanical Engineering
|
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] |
Dynamic rendering of remote indoor environments using real-time point cloud data
|
2018
|
Journal of Computing and Information Science in Engineering 18 (3), 031006, 2018
| 10 |
8N6uFIkAAAAJ:K5ggCqHMkpcC
|
Tucker
|
Mechanical Engineering
|
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] |
Encrypted rich-data steganography using generative adversarial networks
|
2020
|
Proceedings of the 2nd ACM Workshop on Wireless Security and Machine …, 2020
| 5 |
8N6uFIkAAAAJ:XX7pGhTe5MgC
|
Tucker
|
Mechanical Engineering
|
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] |
Evaluating the cost-effectiveness of an early detection of Parkinson's disease through innovative technology
|
2017
|
The Engineering Economist 62 (2), 180-196, 2017
| 17 |
8N6uFIkAAAAJ:EpJ50YjRFhcC
|
Tucker
|
Mechanical Engineering
|
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