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Yongxin Liu

Embry-Riddle Aeronautical University

600 South Clyde Morris Blvd.

Daytona Beach, FL 32114

United States

  • Embry-Riddle Aeronautical University

SCHOLARLY PAPERS

3

DOWNLOADS

124

TOTAL CITATIONS

0

Scholarly Papers (3)

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1.

Multisource Data Fusion for Defect Detection in Composite Additive Manufacturing Using Explainable Deep Neural Network

Number of pages: 29 Posted: 22 Jul 2024
Deepak Kumar, Nicholas Phillips, Yongxin Liu and Sirish Namilae
Embry-Riddle Aeronautical University, Embry-Riddle Aeronautical University, Embry-Riddle Aeronautical University and Embry-Riddle Aeronautical University
Downloads 70 (883,195)

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composites, Additive Manufacturing, Defect detection, Deep neural network, Multisource data

2.

Anomaly Detection for Antenna-Based Defect Detection in Additive Manufacturing: A Grounded, Instructible, and Aligned Learning Framework

Number of pages: 22 Posted: 02 Aug 2025
Wenkai Tan, Jayaprakash B. Shivakumar, Rishikesh Srinivasaraghavan, Nicholas Reed, Yongxin Liu, Eduardo Rojas, Daewon Kim and Houbing Herbert Song
affiliation not provided to SSRN, affiliation not provided to SSRN, Embry-Riddle Aeronautical University, Embry-Riddle Aeronautical University, Embry-Riddle Aeronautical University, Embry-Riddle Aeronautical University, Embry-Riddle Aeronautical University and University of Maryland, College Park
Downloads 31 (1,318,317)

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Anomaly Detection, AI Grounding, Additive manufacturing, Zero-bias Deep Neural Network

3.

Aircraft Bird Strike Risk Prediction Using LSTM-RNN, XGBoost, and BNN

Number of pages: 70 Posted: 04 Mar 2026
Jason Powell, Dahai Liu, Yongxin Liu and Brian Washburn
Embry-Riddle Aeronautical University, Embry-Riddle Aeronautical University, Embry-Riddle Aeronautical University and affiliation not provided to SSRN
Downloads 23 (1,436,435)

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aircraft bird strike risk, aircraft safety, Bayesian network, deep learning, weather prediction