Search Results | ASME Digital Collection

1-20 of 32

Sort by

Sort Order Select

Journal Articles

GRAPH NEURAL NETWORK-BASED DESIGN DECISION SUPPORT FOR SHARED MOBILITY SYSTEMS

Yinshuang Xiao, Faez Ahmed, Zhenghui Sha

J. Mech. Des.

Paper No: MD-22-1713

DOI: https://doi.org/10.1115/1.4062666

Published Online: June 2, 2023

View Article titled, GRAPH NEURAL NETWORK-BASED DESIGN DECISION SUPPORT FOR SHARED MOBILITY SYSTEMS

Journal Articles

Attention-Enhanced Multimodal Learning for Conceptual Design Evaluations

Binyang Song, Scarlett Miller, Faez Ahmed

J. Mech. Des. April 2023, 145(4): 041410.

Paper No: MD-22-1499

DOI: https://doi.org/10.1115/1.4056669

Published Online: February 3, 2023

View Article titled, Attention-Enhanced Multimodal Learning for Conceptual Design Evaluations

Topics: Conceptual design, Design, Creativity

Proceedings Papers

Hey, AI! Can You See What I See? Multimodal Transfer Learning-Based Design Metrics Prediction for Sketches With Text Descriptions

Binyang Song, Scarlett Miller, Faez Ahmed

Proc. ASME. IDETC-CIE2022, Volume 6: 34th International Conference on Design Theory and Methodology (DTM), V006T06A017, August 14–17, 2022

Paper No: DETC2022-91269

DOI: https://doi.org/10.1115/DETC2022-91269

View Paper titled, Hey, AI! Can You See What I See? Multimodal Transfer Learning-Based Design Metrics Prediction for Sketches With Text Descriptions

Topics: Design, Creativity, Computational methods, Engineering design, Innovation, Joining, Machine learning

Proceedings Papers

LINKS: A Dataset of a Hundred Million Planar Linkage Mechanisms for Data-Driven Kinematic Design

Amin Heyrani Nobari, Akash Srivastava, Dan Gutfreund, Faez Ahmed

Proc. ASME. IDETC-CIE2022, Volume 3A: 48th Design Automation Conference (DAC), V03AT03A013, August 14–17, 2022

Paper No: DETC2022-89798

DOI: https://doi.org/10.1115/DETC2022-89798

View Paper titled, LINKS: A Dataset of a Hundred Million Planar Linkage Mechanisms for Data-Driven Kinematic Design

Topics: Design, Kinematics, Linkages, Simulation, Databases, Algorithms, Degrees of freedom, Screw threads, Shapes, Thread

Proceedings Papers

Design Target Achievement Index: A Differentiable Metric to Enhance Deep Generative Models in Multi-Objective Inverse Design

Lyle Regenwetter, Faez Ahmed

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A046, August 14–17, 2022

Paper No: DETC2022-91344

DOI: https://doi.org/10.1115/DETC2022-91344

View Paper titled, Design Target Achievement Index: A Differentiable Metric to Enhance Deep Generative Models in Multi-Objective Inverse Design

Topics: Design, Algorithms, Bicycles, Machine learning

Proceedings Papers

Ship Deck Object Placement Optimization Using a Many-Objective Bilevel Approach

Noah J. Bagazinski, Faez Ahmed

Proc. ASME. IDETC-CIE2022, Volume 3B: 48th Design Automation Conference (DAC), V03BT03A036, August 14–17, 2022

Paper No: DETC2022-89797

DOI: https://doi.org/10.1115/DETC2022-89797

View Paper titled, Ship Deck Object Placement Optimization Using a Many-Objective Bilevel Approach

Topics: Optimization, Ships, Design, Packing (Shipments), Packings (Cushioning), Algorithms, Architects, Hull, Shapes, Stability

Proceedings Papers

Travel Links Prediction in Shared Mobility Networks Using Graph Neural Network Models

Yinshuang Xiao, Faez Ahmed, Zhenghui Sha

Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A079, August 14–17, 2022

Paper No: DETC2022-90694

DOI: https://doi.org/10.1115/DETC2022-90694

View Paper titled, Travel Links Prediction in Shared Mobility Networks Using Graph Neural Network Models

Topics: Artificial neural networks, Mechanical admittance, Neural network models

Journal Articles

Product Competition Prediction in Engineering Design Using Graph Neural Networks

Faez Ahmed, Yaxin Cui, Yan Fu, Wei Chen

ASME Open J. Engineering. January 2022, 1: 011020.

Paper No: AOJE-21-1034

DOI: https://doi.org/10.1115/1.4054299

Published Online: May 9, 2022

View Article titled, Product Competition Prediction in Engineering Design Using Graph Neural Networks

Topics: Artificial neural networks, Automobiles, Design, Engineering design, Modeling, Machine learning, Trains, Construction

Journal Articles

Deep Generative Models in Engineering Design: A Review

Lyle Regenwetter, Amin Heyrani Nobari, Faez Ahmed

J. Mech. Des. July 2022, 144(7): 071704.

Paper No: MD-21-1642

DOI: https://doi.org/10.1115/1.4053859

Published Online: March 18, 2022

View Article titled, Deep Generative Models in Engineering Design: A Review

Topics: Design, Topology, Optimization, Shapes, Engineering design

Journal Articles

If a Picture is Worth 1000 Words, Is a Word Worth 1000 Features for Design Metric Estimation?

Kristen M. Edwards, Aoran Peng, Scarlett R. Miller, Faez Ahmed

J. Mech. Des. April 2022, 144(4): 041402.

Paper No: MD-21-1354

DOI: https://doi.org/10.1115/1.4053130

Published Online: December 17, 2021

View Article titled, If a Picture is Worth 1000 Words, Is a Word Worth 1000 Features for Design Metric Estimation?

Topics: Design, Creativity

Proceedings Papers

CreativeGAN: Editing Generative Adversarial Networks for Creative Design Synthesis

Amin Heyrani Nobari, Muhammad Fathy Rashad, Faez Ahmed

Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A002, August 17–19, 2021

Paper No: DETC2021-68103

DOI: https://doi.org/10.1115/DETC2021-68103

View Paper titled, CreativeGAN: Editing Generative Adversarial Networks for Creative Design Synthesis

Topics: Creativity, Design, Bicycles, Innovation, Artificial neural networks, Design automation, Design methodology, Engineering disciplines, Image segmentation, Machine learning

Proceedings Papers

A Graph Neural Network Approach for Product Relationship Prediction

Faez Ahmed, Yaxin Cui, Yan Fu, Wei Chen

Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A036, August 17–19, 2021

Paper No: DETC2021-69462

DOI: https://doi.org/10.1115/DETC2021-69462

View Paper titled, A Graph Neural Network Approach for Product Relationship Prediction

Topics: Artificial neural networks, Artificial intelligence, Automobiles, Design, Drugs, Engineering systems and industry applications, Machine learning, Modeling, Network analysis, Optimization

Proceedings Papers

BIKED: A Dataset and Machine Learning Benchmarks for Data-Driven Bicycle Design

Lyle Regenwetter, Brent Curry, Faez Ahmed

Proc. ASME. IDETC-CIE2021, Volume 3A: 47th Design Automation Conference (DAC), V03AT03A019, August 17–19, 2021

Paper No: DETC2021-71681

DOI: https://doi.org/10.1115/DETC2021-71681

View Paper titled, BIKED: A Dataset and Machine Learning Benchmarks for Data-Driven Bicycle Design

Topics: Bicycles, Data-driven design, Design, Machine learning, Design methodology, Manufacturing

Proceedings Papers

Design Form and Function Prediction From a Single Image

Kristen M. Edwards, Vaishnavi L. Addala, Faez Ahmed

Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A032, August 17–19, 2021

Paper No: DETC2021-71853

DOI: https://doi.org/10.1115/DETC2021-71853

View Paper titled, Design Form and Function Prediction From a Single Image

Topics: Design, Aircraft, Machine learning, Machinery, Brain, Computational fluid dynamics, Computer simulation, Drag (Fluid dynamics), Engineering prototypes, Engineering simulation

Proceedings Papers

Range-GAN: Range-Constrained Generative Adversarial Network for Conditioned Design Synthesis

Amin Heyrani Nobari, Wei Chen, Faez Ahmed

Proc. ASME. IDETC-CIE2021, Volume 3B: 47th Design Automation Conference (DAC), V03BT03A039, August 17–19, 2021

Paper No: DETC2021-69963

DOI: https://doi.org/10.1115/DETC2021-69963

View Paper titled, Range-GAN: Range-Constrained Generative Adversarial Network for Conditioned Design Synthesis

Topics: Design, Shapes, Engineering design, Errors

Proceedings Papers

If a Picture is Worth 1000 Words, Is a Word Worth 1000 Features for Design Metric Estimation?

Kristen M. Edwards, Aoran Peng, Scarlett R. Miller, Faez Ahmed

Proc. ASME. IDETC-CIE2021, Volume 6: 33rd International Conference on Design Theory and Methodology (DTM), V006T06A011, August 17–19, 2021

Paper No: DETC2021-70158

DOI: https://doi.org/10.1115/DETC2021-70158

View Paper titled, If a Picture is Worth 1000 Words, Is a Word Worth 1000 Features for Design Metric Estimation?

Topics: Design, Machine learning, Natural language processing, Nonlinear programming, Creativity, Innovation, Semantics

Journal Articles

BIKED: A Dataset for Computational Bicycle Design With Machine Learning Benchmarks

Lyle Regenwetter, Brent Curry, Faez Ahmed

J. Mech. Des. March 2022, 144(3): 031706.

Paper No: MD-21-1250

DOI: https://doi.org/10.1115/1.4052585

Published Online: October 29, 2021

View Article titled, BIKED: A Dataset for Computational Bicycle Design With Machine Learning Benchmarks

Topics: Bicycles, Design

Journal Articles

Range-Constrained Generative Adversarial Network: Design Synthesis Under Constraints Using Conditional Generative Adversarial Networks

Amin Heyrani Nobari, Wei Chen, Faez Ahmed

J. Mech. Des. February 2022, 144(2): 021708.

Paper No: MD-21-1243

DOI: https://doi.org/10.1115/1.4052442

Published Online: October 11, 2021

View Article titled, Range-Constrained Generative Adversarial Network: Design Synthesis Under Constraints Using Conditional Generative Adversarial Networks

Topics: Design, Shapes, Generators, Optimization

Journal Articles

How Should We Measure Creativity in Engineering Design? A Comparison Between Social Science and Engineering Approaches

Scarlett R. Miller, Samuel T. Hunter, Elizabeth Starkey, Sharath Ramachandran, Faez Ahmed, Mark Fuge

J. Mech. Des. March 2021, 143(3): 031404.

Paper No: MD-20-1412

DOI: https://doi.org/10.1115/1.4049061

Published Online: January 27, 2021

View Article titled, How Should We Measure Creativity in Engineering Design? A Comparison Between Social Science and Engineering Approaches

Topics: Creativity, Design, Engineering design

Journal Articles

Design Variety Measurement Using Sharma–Mittal Entropy

Faez Ahmed, Sharath Kumar Ramachandran, Mark Fuge, Sam Hunter, Scarlett Miller

J. Mech. Des. June 2021, 143(6): 061702.

Paper No: MD-20-1087

DOI: https://doi.org/10.1115/1.4048743

Published Online: November 18, 2020

View Article titled, Design Variety Measurement Using Sharma–Mittal Entropy

Topics: Design, Entropy

Journal citation

NARROW

Supplemental Material

Manuscript

GRAPH NEURAL NETWORK-BASED DESIGN DECISION SUPPORT FOR SHARED MOBILITY SYSTEMS

Attention-Enhanced Multimodal Learning for Conceptual Design Evaluations

Hey, AI! Can You See What I See? Multimodal Transfer Learning-Based Design Metrics Prediction for Sketches With Text Descriptions

LINKS: A Dataset of a Hundred Million Planar Linkage Mechanisms for Data-Driven Kinematic Design

Design Target Achievement Index: A Differentiable Metric to Enhance Deep Generative Models in Multi-Objective Inverse Design

Ship Deck Object Placement Optimization Using a Many-Objective Bilevel Approach

Travel Links Prediction in Shared Mobility Networks Using Graph Neural Network Models

Product Competition Prediction in Engineering Design Using Graph Neural Networks

Deep Generative Models in Engineering Design: A Review

If a Picture is Worth 1000 Words, Is a Word Worth 1000 Features for Design Metric Estimation?

CreativeGAN: Editing Generative Adversarial Networks for Creative Design Synthesis

A Graph Neural Network Approach for Product Relationship Prediction

BIKED: A Dataset and Machine Learning Benchmarks for Data-Driven Bicycle Design

Design Form and Function Prediction From a Single Image

Range-GAN: Range-Constrained Generative Adversarial Network for Conditioned Design Synthesis

If a Picture is Worth 1000 Words, Is a Word Worth 1000 Features for Design Metric Estimation?

BIKED: A Dataset for Computational Bicycle Design With Machine Learning Benchmarks

Range-Constrained Generative Adversarial Network: Design Synthesis Under Constraints Using Conditional Generative Adversarial Networks

How Should We Measure Creativity in Engineering Design? A Comparison Between Social Science and Engineering Approaches

Design Variety Measurement Using Sharma–Mittal Entropy

Journals

Conference Proceedings

eBooks

Resources

Opportunities

Journals

Conference Proceedings

eBooks

Resources

Opportunities

This Feature Is Available To Subscribers Only