George Panoutsos

Methods for Rapid Pore Classification in Metal Additive Manufacturing

Robert M. Snell, Samuel Tammas‐Williams, Lova Chechik et al. · JOM · 2019 · 204 citations · Full text

Engineering, Materials Engineering, Materials Science +17

Using Multiple-Feature-Spaces-Based Deep Learning for Tool Condition Monitoring in Ultraprecision Manufacturing

Chengming Shi, George Panoutsos, Bo Luo et al. · IEEE Transactions on Industrial Electronics · 2018 · 137 citations

Computing, Computer Science, Manufacturing Engineering +17

Real-Time Adaptive Automation System Based on Identification of Operator Functional State in Simulated Process Control Operations

Ching-Hua Ting, Mahdi Mahfouf, Ahmed M. Nassef et al. · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans · 2009 · 92 citations

Engineering, Industrial Engineering, Systems Engineering +17

Interval Type-2 Radial Basis Function Neural Network: A Modeling Framework

Adrian Rubio-Solis, George Panoutsos · IEEE Transactions on Fuzzy Systems · 2014 · 76 citations

Computing, Computer Science, Mathematics +17

A data-driven approach for predicting printability in metal additive manufacturing processes

William Mycroft, Mordechai Katzman, Samuel Tammas‐Williams et al. · Journal of Intelligent Manufacturing · 2020 · 66 citations · Full text

Engineering, Manufacturing Engineering, Materials Engineering +9