An Efficient Automated Hybrid Algorithm to Predict Floods in Cloud Environment

An Efficient Automated Hybrid Algorithm to Predict Floods in Cloud Environment

₹4,500.00
Product Code: Python - Machine Learning
Availability: In Stock
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Product Description

Aim: 

             Analyze the flood data from database for flood prediction using machine learning techniques.

 

Synopsis:

            Natural and environmental sciences are one of the scientific domains which seek a lot of attention as it requires accurate real time predictions. In particular, flooding induced by heavy precipitation is one of the regular risks in Eastern Indian states. In this research work, the state of Odisha, India have been selected for predicting floods because majority of the state’s districts have been exposed to floods, leading to unprecedented loss of life and property. In this paper, an Optimization based feature selection Genetic Algorithm (GA) have been combined with classification algorithms to predict the occurrence of floods. The experimental results show that the GA-SVM algorithm outperforms in terms of accuracy and total execution time in comparison to other hybrid algorithms. Finally, the results are validated and compared by executing the proposed hybrid algorithm over the heterogeneous resources in Cloud environment.

 

Proposed System:

            To overcome the fallback in the existing system we propose a machine learning based system to increase the efficiency and accuracy. We implement the flood prediction other states and compare to the linear regression, Support vector machine algorithms. Finally, we are predicting the result via data visualization.

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Software Projects Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. UML Diagrams
  6. SRS
  7. Source Code
  8. Screen Shots
  9. Software Links
  10. Reference Papers
  11. Full Project Documentation
  12. Online support


The Delivery time for software projects is 2 -3 working days. Some of the software projects will require Hardware interface. Please go through the hardware Requirements in the abstract carefully. The Hardware will take 7-8 Working Days

 

Hardware Projects Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. Datasheets
  6. Circuit Diagrams
  7. Source Code
  8. Screen Shots & Photos
  9. Software Links
  10. Reference Papers
  11. Lit survey
  12. Full Project Documentation
  13. Online support


The Delivery time for Hardware projects is 7-8 working days.

   

Mini Projects: Software Includes

  1. Demo  Video
  2. Abstract
  3. Base paper
  4. Full Project PPT
  5. UML Diagrams
  6. SRS
  7. Source Code
  8. Screen Shots
  9. Software Links
  10. Reference Papers
  11. Full Project Documentation
  12. Online support

 

The Delivery time for software Miniprojects is 2 -3 working days.

 

Mini Projects - Hardware includes

  1. Demo  Video
  2. Abstract
  3. PPT
  4. Datasheets
  5. Circuit Diagrams
  6. Source Code
  7. Screen Shots & Photos
  8. Software Links
  9. Reference Papers
  10. Full Project Documentation
  11. Online support

The Delivery time for Hardware Mini projects is 7-8 working days.