Search Results

You are looking at 1 - 10 of 24 items for :

  • "machine learning" x
  • Materials and Applied Sciences x
  • All content x
Clear All

lifetime, which could be maximized. Machine Learning (ML) techniques like Q-learning and multi-armed bandit can play a significant role in scheduling and random access to manage the resources in the smart cities and smart home environment. It is because

Open access

prediction of resource utilization is not only based upon current usage patterns but also past system behavior may be considered. In this review, it was found that machine learning (ML) models are suitable to predict resource utilization using historical data

Open access

-term conditions. Hence some machine learning algorithms are used to predict CCI in mid and long-term operations namely K-nearest neighbour (NN) and perfect random tree ensembles (PERT) in USA [ 9 ] Neural Network, Time Series analysis and Regression methods It is

Open access
Scientia et Securitas
Authors: László Vidács, Márk Jelasity, László Tóth, Péter Hegedűs, and Rudolf Ferenc

) 02 2020 10.1109/ibf50092.2020.9034714 Databricks Inc. Mlflow, an open source platform for the machine learning lifecycle 2020 https

Open access

. Using machine learning to support debugging with tarantula Proceedings of the 18th IEEE International Symposium on Software Reliability 2007 Washington DC, USA

Open access
Pollack Periodica
Authors: Ádám Pintér, Balázs Schmuck, and Sándor Szénási

The aim of this paper is to present a technique, which uses machine learning to process the short text answers with Hungarian language. The processing is based on a special neural network, the convolutional neural network, which can efficiently process short text answer. To achieve precise classification for training and recall grammatically consistent answers and the conversion of the text to the input are inevitable. To convert the input, continuous bag of words and Skip-Gram models will be used, resulting in a model that will be able to evaluate the Hungarian short text answers.

Restricted access

Machine Learning for Networking: Workflow, Advances and Opportunities IEEE Network 32 2 2018 03 92-99 10.1109/mnet.2017

Open access

been successfully applied in neural networks, machine learning, and text categorization technology [ 32, 33 ]. It operates according to the objectives sought, whether the reduction in dimensionality or the reduction of noise, the elimination of

Open access

. Rasheed , A. K. Faieq , and A. A. Hashim , “ Android botnet detection using machine learning ,” Ingenierie des Systemes d’Information , vol. 2 , no. 1 , pp. 127 – 130 , 2020 .

Open access

offers a number of enhancements that can be used to extract even more data from the measurement data set: Application of Deep/machine learning algorithms to classify multiple measurements Creating a correlation matrix for the measurement parameters

Open access