Main Reference PaperA Machine Learning Based Algorithm for Joint Scheduling and Power Control in Wireless Networks, IEEE Internet of Things Journal, 2018 [Java/Python/R]
  • By employing the Support Vector Machine (SVM) and the Deep Belief Networks (DBNs), the proposed method resolves the complicated wireless network resource allocation issue at the lower cost. The SVM helps to make a decision about the power use. Subsequently, the DBN estimate the optimal allocation of power.

+ Description
  • By employing the Support Vector Machine (SVM) and the Deep Belief Networks (DBNs), the proposed method resolves the complicated wireless network resource allocation issue at the lower cost. The SVM helps to make a decision about the power use. Subsequently, the DBN estimate the optimal allocation of power.

  • To address the constraints of wireless network resource allocation.

  • To obtain the optimal solution at lower cost.

+ Aim & Objectives
  • To address the constraints of wireless network resource allocation.

  • To obtain the optimal solution at lower cost.

  • The system is contributed to handling the large-scale data

+ Contribution
  • The system is contributed to handling the large-scale data

  • 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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