Main Reference PaperEnsemble machine learning models for aviation incident risk prediction, Decision Support Systems, 2019.[Python]
  • In order to evaluate the risk of hazardous events, the hybrid model fusing the prediction of SVM on the unstructured data and ensemble of deep neural networks on the structured data. It improves the system safety level by focusing on the prediction of abnormal events.

Description
  • In order to evaluate the risk of hazardous events, the hybrid model fusing the prediction of SVM on the unstructured data and ensemble of deep neural networks on the structured data. It improves the system safety level by focusing on the prediction of abnormal events.

  • To develop the model to quantify the risk in the system

  • To discover the risk based on the incident reports

Aim & Objectives
  • To develop the model to quantify the risk in the system

  • To discover the risk based on the incident reports

  • The inclusion of information about the unexpected events in the system helps to discover risk for the unseen event

Contribution
  • The inclusion of information about the unexpected events in the system helps to discover risk for the unseen event

  • 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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