Neural Computing
Fracture Pattern Prediction with Random Microstructure using Deep Neural Network
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Static and dynamic precision adaptation for hardware learning and classification
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Flexible and Efficient XNOR Circuit Architecture for Neural Network Based Deep Learning
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Binary Neural Network for Improved Accuracy and Defense Against Bit-Flip Attacks
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Connection Topology Optimization of Photovoltaic Arrays Using Neural Networks
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Fault Classification in Photovoltaic Arrays Using Dropout and Pruned Neural Networks
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Hardware-Noise-Aware Training for Improved Accuracy of In-Memory-Computing-Based Deep Neural Networks
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Optimizing Solar Power using Array Topology Reconfiguration and Deep Neural Network
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Multi-fidelity Data Aggregation using Convolutional Neural Networks
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