Main Reference PaperMultiple Attributes QoS Prediction via Deep Neural Model with Contexts, IEEE transactions on services computing, 2018 [Java/Python/R]
  • The proposed method exploits the deep neural network to attain a universal framework for performing the context based on multiple attributes Quality-of-Service (QoS) prediction. The proposed method semantically characterizes the features in the context to obtain improved accuracy.

+ Description
  • The proposed method exploits the deep neural network to attain a universal framework for performing the context based on multiple attributes Quality-of-Service (QoS) prediction. The proposed method semantically characterizes the features in the context to obtain improved accuracy.

  • To build the multi-attributes QoS prediction model based on complex contexts

  • To enhance the prediction accuracy

+ Aim & Objectives
  • To build the multi-attributes QoS prediction model based on complex contexts

  • To enhance the prediction accuracy

  • To apply the data preprocessing technique to eliminate the noisy data in the system.

+ Contribution
  • To apply the data preprocessing technique to eliminate the noisy data in the system.

  • 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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