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Predicting the performance of hybrid ventilation in buildings using a multivariate attention-based biLSTM Encoder-Decoder neural network
Hybrid ventilation is an energy-efficient solution to provide fresh air for most climates, given that it has a reliable control system.
CWD: A Machine Learning based Approach to Detect Unknown Cloud Workloads
To address this problem of realizing the full potential of the underlying platform, we develop a machine learning based technique to characterize, profile and predict workloads running in the cloud environment.
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