Main Reference PaperA scalable fuzzy support vector machine for fault detection in transportation systems, Expert Systems With Applications, 2018 [Java/Python/R]
  • The proposed KNN-based FSVM (KNN-FSVM) method attempts to mitigate the constraints of fault detection for the transportation system. It helps to reduce the dimension of the data and reflects the significance of the various training data for the imbalanced dataset. It overcomes the shortcomings of the classification of faulty data to improve accuracy.

+ Description
  • The proposed KNN-based FSVM (KNN-FSVM) method attempts to mitigate the constraints of fault detection for the transportation system. It helps to reduce the dimension of the data and reflects the significance of the various training data for the imbalanced dataset. It overcomes the shortcomings of the classification of faulty data to improve accuracy.

  • To remove the outliers for the imbalanced dataset

  • To maintain the balance between the robustness and the efficiency

+ Aim & Objectives
  • To remove the outliers for the imbalanced dataset

  • To maintain the balance between the robustness and the efficiency

  • To develop the system with the improved processing speed of data points

+ Contribution
  • To develop the system with the improved processing speed of data points

  • 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.

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