Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn ...
Abstract: Planning a path is crucial for safe and efficient Unmanned aerial vehicle flights, especially in complex environments. While the Q-learning algorithm in reinforcement learning performs ...
The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get any better.
A canonical problem in computer science is to find the shortest route to every point in a network. A new approach beats the ...
Abstract: In response to the high cost and low efficiency in traditional interior space design, this research applies image feature extraction algorithms to interior space design to improve design ...
Centre for Computational Science, Department of Chemistry, University College London, London WC1H 0AJ, United Kingdom ...
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