To process that data, it has recently been suggested to use Machine Learning (ML). In this paper, we review existing proposal for using ML in an SDN context for traffic measurement (specifically, ...

We discovered that merging machine learning models enhanced the prediction effort observed in the hybrid models' malignancy prediction outcomes. The proposed hybrid models were suitable for predicting ...

Accurate Prediction of DNA structure from its sequence using Machine Learning Gupta, Abhijit ... It also performs the classification by choosing the optimal threshold and then converting the class ...

Accurate prediction of earthquakes is essential ... Support Vector Machines (SVM) is a type of supervised machine learning algorithm that can be used for both regression and classification tasks. The ...

The combination of traditional machine learning for classification and stacked auto-encoder (SAE) for feature selection produced accuracies of up to 98.8% for AD classification and 83.7% for ...