PhD Thesis

Chapter 2(Literature Review)

Google Doc: https://docs.google.com/document/d/10tP-xjBArKgMEwYiLWlyBXkJn41_gsph/edit 

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Chapter 3 (Developing Tourist Forecasting System (TFS) )

Google Doc: https://docs.google.com/document/d/1dGnQaE0sQgtN0nPc9Dlm_gB5xC-xMpHR/edit 

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Chapter 4 (Developing Tourist Spot Recommendation System (TSRS) )

Google Doc: https://docs.google.com/document/d/1gjy0vm-9qoH0KLztuDsEWvj_oa5KMZJB/edit 

• • 4.1  Introduction

    • 4.2  Overview of Existing Approaches

      • 4.2.1  Sentiment Analysis 

      • 4.2.2  Support Vector Machines (SVM)

      • 4.2.3  Bayesian Network

      • 4.2.4  Outlier detection-based classification

    • 4.3  Proposed System

    • 4.3.1  Data collection

      • 4.3.2  Pattern Classification

      • 4.3.3  Proposed algorithm

    • 4.4  Experimental Results and Discussion

      • 4.4.1  Energy consumption data collection and system setup

      • 4.4.2  Data classification using LM-based neural network classifier

      • 4.4.3  Results and verification

      • 4.4.4  True positive and false positive test results

      • 4.4.5. Comparison of the proposed approach with existing methods

  • 4.5  Summary

Chapter 5  (Developing Tourist Path Prediction System (TPPS) ) 

Gooogle doc: https://docs.google.com/document/d/1I0VGTeIdUPcsQBOAoMZCz66yEBuHIet1/edit 

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  • 5.1  Introduction

  • 5.2  Proposed System

    • 5.2.1  Data Collection and Preprocessing

    • 5.2.2  Linear and Non-linear Regression Model

    • 5.2.3  Back-propagation Artificial Neural Network

    • 5.3  Experimental Results and Discussion

      • 5.3.1  Prediction of Tourist Forecasting using Multiple Regression Analysis 

      • 5.3.2  Prediction of Tourist Forecasting  using LMBP-ANN

    • 5.4  Comparison of Regression and LMBP-ANN Model

    • 5.5  Summary

Chapter 6 (Developing Tourist Observation System (TOS) )

Google Doc: https://docs.google.com/document/d/19QY0xccf2RKOmrTVeTINfNZYyR73e0Mo/edit 

• • 6.1  Introduction

  • 6.2  Overview of Existing Prediction Methods

  • 6.3  Design of Prediction Models 

  • 6.4  Proposed Approach for Cement Strength Prediction

  • 6.5  Experimental Results and Discussion

  • 6.5.1  Performance Indexes

  • 6.5.2  Computation of Hidden Nodes

  • 6.5.3  Performance Analysis Comparison of Existing results and Proposed Approach results. 

  • 6.5.4  Performance Analysis of Existing Methods

  • 6.5.5   Performance Analysis of Proposed Approach

  • 6.5.6   Training Performance

  • 6.6  Comparison of Computational Time for Existing and Proposed Approach

  • 6.7  Summary

Chapter 7 (Conclusion, Contributions, Limitations, and Future Scope)