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Mathematical Principles for Deconstructing Deep Learning: Theory and Application to Electromagnetic Signals
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Simulations and ML for parachute guidance
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Design and Evaluation of Bit-sliced Neural Network and Post-Quantum Implementations
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Deep Reinforcement Learning for GO AI
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Adaptively-Halting RNN for Tunable Early Classification of Time Series
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Ballistocardiography-based Authentication using Convolutional Neural Networks
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Deep Learning Binary Neural Network on an FPGA
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Magnetic Resonance Image segmentation using Pulse Coupled Neural Networks
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Radial-Basis-Function Neural Network Optimization of Microwave Systems
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A Study of Several Statistical Methods for Classification with Application to Microbial Source Tracking
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