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Comparative Analysis of Deep Learning Approaches for Predicting Thermomechanical Behavior of Shape Memory Polymers

  • Louisiana Tech University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original languageEnglish
Title of host publicationIEEE SoutheastCon 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages950-957
Number of pages8
ISBN (Electronic)9798331504847
DOIs
StatePublished - 2025
Externally publishedYes
Event2025 IEEE SoutheastCon, SoutheastCon 2025 - Concord, United States
Duration: Mar 22 2025 → Mar 30 2025

Publication series

SeriesConference Proceedings - IEEE SOUTHEASTCON
ISSN1091-0050

Conference

Conference2025 IEEE SoutheastCon, SoutheastCon 2025
Country/TerritoryUnited States
CityConcord
Period3/22/25 → 3/30/25

ASJC Scopus Subject Areas

  • Computer Networks and Communications
  • Software
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Signal Processing

Keywords

  • Deep Learning Models
  • Shape Memory Polymer
  • Thermomechanical Behavior Prediction
  • Transformer Model

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