Main Reference PaperDeep Belief Network for Meteorological Time Series Prediction in the Internet of Things, IEEE Internet of Things Journal, 2018 [Java/Python/R]
  • The framework of Deep Belief Network and Gated Recurrent Unit (DBN-GRU) has the advantage of pre-training and the long memory that eases the time series forecasting of IoT applications. It helps to mitigate the time constraints of the system.

+ Description
  • The framework of Deep Belief Network and Gated Recurrent Unit (DBN-GRU) has the advantage of pre-training and the long memory that eases the time series forecasting of IoT applications. It helps to mitigate the time constraints of the system.

  • To predict the time series in the IOT

  • To mitigate the training time

+ Aim & Objectives
  • To predict the time series in the IOT

  • To mitigate the training time

  • A technique is contributed to avert the overfitting issue in the system

+ Contribution
  • A technique is contributed to avert the overfitting issue 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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