Abstract: Accurate workload and resource prediction are critical for realizing proactive, dynamic, and self-adaptive resource allocation for building cost-effective, energy-efficient, and green cloud ...
Abstract: This article first introduces a sampled-data state estimator design method for continuous-time long short-term memory (LSTM) neural networks with irregularly sampled output. To this end, the ...
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