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Found 4 papers, 0 papers with code
A Learning-Based Caching Mechanism for Edge Content Delivery
Improved byte hit rates at the edge not only alleviate the load on the network backbone but also minimize operational costs and expedite content delivery to end-users.
LearnedWMP: Workload Memory Prediction Using Distribution of Query Templates
In this research, we are interested in query performance optimization under concurrent execution of a batch of queries (a workload).
Towards Better Adaptive Systems by Combining MAPE, Control Theory, and Machine Learning
Two established approaches to engineer adaptive systems are architecture-based adaptation that uses a Monitor-Analysis-Planning-Executing (MAPE) loop that reasons over architectural models (aka Knowledge) to make adaptation decisions, and control-based adaptation that relies on principles of control theory (CT) to realize adaptation.
Understanding Brain Dynamics for Color Perception using Wearable EEG headband
In this work, we have designed a multiclass classification model to detect the primary colors from the features of raw EEG signals.
