Main Reference PaperA wearable sensor-based activity prediction system to facilitate edge computing in smart healthcare system, Journal of Parallel and Distributed Computing, 2019 [Python]
  • The activity prediction system based on Recurrent Neural Network (RNN) in health care domain is proposed for forecasting the activities of patients using the information from the wearable sensors. It deals with the sensor data, features of the health care system by the edge devices.

Description
  • The activity prediction system based on Recurrent Neural Network (RNN) in health care domain is proposed for forecasting the activities of patients using the information from the wearable sensors. It deals with the sensor data, features of the health care system by the edge devices.

  • To develop the activity prediction system in the health care domain

  • To accomplish faster computation

Aim & Objectives
  • To develop the activity prediction system in the health care domain

  • To accomplish faster computation

  • To develop the prediction system to deal with the complex and large-scale data

Contribution
  • To develop the prediction system to deal with the complex and large-scale data

  • 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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