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Roppel, Thaddeus A. - Department of Electrical and Computer Engineering, Auburn University
header for SPIE use Feature-Level Signal Processing for Near-Real-Time
Header for SPIE use Neural Networks and PCA for determine ROI in sensory data
Aggregation of Sensory Input for Robust Performance in Chemical Sensing Microsystems Page 1 of 21 AGGREGATION OF SENSORY INPUT FOR
Roppel / Wilson Biologically-Inspired Pattern Recognition For Odor Detection Page 1 of 7 Biologically-Inspired Pattern Recognition For Odor Detection
Design of a Low-Power, Portable Sensor System Using Embedded Neural Networks and Hardware Preprocessing
Rank Extraction in Tin-Oxide Sensor Arrays Page 1 of 23 Rank Extraction in Tin-Oxide Sensor Arrays
