Main Reference PaperA Machine Learning Decision-Support System Improves the Internet of Things’ Smart Meter Operations, IEEE Internet of Things Journal, June 2017 [Java]
  • A decision-support system (DSS) is proposed that operates within the IoT ecosystem. It evaluates approach with a complete Bayesian Network prediction and compares with machine learning prediction model classifiers: Nave Bayes, Random Forest and Decision Tree.

+ Description
  • A decision-support system (DSS) is proposed that operates within the IoT ecosystem. It evaluates approach with a complete Bayesian Network prediction and compares with machine learning prediction model classifiers: Nave Bayes, Random Forest and Decision Tree.

  • To improve the cost efficiency of ESM network operations and maintenance

  • To evaluate the efficiency and the effectiveness of the proposed approach

+ Aim & Objectives
  • To improve the cost efficiency of ESM network operations and maintenance

  • To evaluate the efficiency and the effectiveness of the proposed approach

  • Proposed approach is evaluated over the large data set using hadoop.

+ Contribution
  • Proposed approach is evaluated over the large data set using hadoop.

  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1, & J2SE.

+ Software Tools & Technologies
  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1, & J2SE.

  • 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-Depending on the complexity of the project and requirements.

+ Order To Delivery
  • No Readymade Projects-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.