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Autoencoder Composite Scoring to Evaluate Prosthetic Performance in Individuals with Lower Limb Amputation (open access)

Autoencoder Composite Scoring to Evaluate Prosthetic Performance in Individuals with Lower Limb Amputation

Authors of the article created an overall assessment metric using a deep learning autoencoder to directly compare clinical outcomes in a comparison of lower limb amputees using two different prosthetic devices—a mechanical knee and a microprocessor-controlled knee. The proposed methods were used on data collected from ten participants with a dysvascular transfemoral amputation recruited for a prosthetics research study.
Date: October 18, 2022
Creator: Tabashum, Thasina; Xiao, Ting; Jayaraman, Chandrasekaran; Mummidisetty, Chaithanya K.; Jayaraman, Arun & Albert, Mark
System: The UNT Digital Library
Probabilistic Seismic Assessment of CoSPSW Structures Using Fragility Functions (open access)

Probabilistic Seismic Assessment of CoSPSW Structures Using Fragility Functions

This article presents a study on the probabilistic assessment of the seismic performance and vulnerability of corrugated steel plate shear walls (CoSPSWs) using fragility functions.
Date: June 18, 2022
Creator: Tan, Zhilun; Zhao, Quihong; Zhao, Yu & Yu, Cheng
System: The UNT Digital Library
Friction stir-based additive manufacturing (open access)

Friction stir-based additive manufacturing

This article is a review of friction stir additive manufacturing (FSAM) and additive friction stir deposition (AFSD) and provides a systems approach framework and a conceptual process model to guide researchers.
Date: January 18, 2022
Creator: Mishra, Rajiv; Haridas, Ravi Sankar & Agrawal, Priyanshi
System: The UNT Digital Library
Racism Detection by Analyzing Differential Opinions Through Sentiment Analysis of Tweets Using Stacked Ensemble GCR-NN Model (open access)

Racism Detection by Analyzing Differential Opinions Through Sentiment Analysis of Tweets Using Stacked Ensemble GCR-NN Model

This article presents a study detecting Tweets that contain racist text by performing the sentiment analysis of Tweets. The proposed GCR-NN model can detect 97% of the tweets that contain racist comments.
Date: January 18, 2022
Creator: Lee, Ernesto; Rustam, Furqan; Washington, Patrick Bernard; El Barakaz, Fatima; Aljedaani, Wajdi & Ashraf, Imran
System: The UNT Digital Library