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Using artificial neural networks to estimate evolutionary parameters
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Learning in dynamic synapse neural networks
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Object detection and digitization from aerial imagery using neural networks
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Recurrent neural networks with tunable activation functions to solve Sylvester equation
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Neural networks for narrative continuation
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Discrete-synapse recurrent neural network for nonlinear system modeling and seismic signal classification
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Bridging performance gaps by occupancy and weather data-driven energy prediction modeling using neural networks
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Learning invariant features in modulatory neural networks through conflict and ambiguity
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The use of dynamic synapse neural networks for speech processing tasks
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Neural network for molecular dynamics simulation and design of 2D materials
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Validation of an alternative neural decision tree
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High throughput computational framework for synthesis and accelerated discovery of dielectric polymer materials using polarizable reactive molecular dynamics and graph neural networks
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Theory of memory-enhanced neural systems and image-assisted neural machine translation
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Ultra-low-latency deep neural network inference through custom combinational logic
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Development of micromachined technologies for neural interfaces
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Physics informed neural networks and electrostrictive cavitation in water
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Facial key points detection by convolutional neural network
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Learning distributed representations from network data and human navigation
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Object classification based on neural-network-inspired image transforms
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Sensory information processing by retinothalamic neural circuits
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Max-3-Cut performance of graph neural networks on random graphs
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Neural fate regulated by extrinsic signaling and epigenetics
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Magnetic induction-based wireless body area network and its application toward human motion tracking
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Physics-aware graph networks for spatiotemporal physical systems
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Integration in neural circuits controlling ingestive behaviors
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