Main Reference PaperMachine Learning for Performance Prediction in Mobile Cellular Networks, IEEE Computational Intelligence Magazine, 2018 [Java/Python/R]
  • To resolve the issues of performance forecasting in the mobile cellular networks, the proposed method exploits the random forest machine learning technique to diminish the operational cost. It efficiently resolves the computational challenges and resource allocation issues.

+ Description
  • To resolve the issues of performance forecasting in the mobile cellular networks, the proposed method exploits the random forest machine learning technique to diminish the operational cost. It efficiently resolves the computational challenges and resource allocation issues.

  • To predict the performance of the wireless network

  • To mitigate the cost and enhance the customer experience

+ Aim & Objectives
  • To predict the performance of the wireless network

  • To mitigate the cost and enhance the customer experience

  • To develop the prediction model to handle the massive amount of data

+ Contribution
  • To develop the prediction model to handle the massive amount of data

  • Operating system: Ubuntu / Windows

  • Java/Python/R

+ Software Tools & Technologies
  • Operating system: Ubuntu / Windows

  • Java/Python/R

  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

+ Project Recommended For
  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

+ Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.

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