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International Journal of
Engineering Research and Science

ISSN No.: 2395-6992 | R Impact Factor 4.12

Special Issue: SV University, Tirupati - April 2024

Organized by: SV University, Tirupati

Volume 10, Issue 4 | April 2024 | Open Access | Focus on Cutting-Edge Engineering Research & Technological Advancements

About This Special Issue

This special issue features cutting-edge engineering research and technological advancements contributed by scholars at SV University, Tirupati. The issue covers innovative research across various engineering disciplines. All articles are peer-reviewed and published under open access license.

1. A Review on Decision Tree Procedures caring Grouping Problems

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2. An Imaginary Study on Analyzing Results Using the K-Implies Grouping Technique

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3. Handling Missing Attributes Using Imputation Methods

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4. Tackling Multiclass Categorization Challenges Using a Multi-Label Classification Framework

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5. AI Techniques for Programming Deformation and Repair

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6. Exploring the Effectiveness and Applicability of Various Troupe Grouping Procedures in Classifier Estimation: An In-Depth Empirical Study

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7. Utilizing Genetic Algorithm for Optimal Feature Selection in Multiclass Classification Problems: A Comprehensive Study

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8. Utilizing Rule-Based Characterization Strategies Employing Unambiguous and Supportive Classifiers

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9. Utilizing AI Techniques for Vehicle Information Extraction and Analysis to Predict Trends in the Automotive Market: A Comprehensive Study

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10. An Investigative Exploration and In-depth Analysis of Wi-Fi Networks in Public Environments

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11. An Exploratory Investigation into Missing Value Imputation Techniques for Classification Tasks

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12. An Exploratory Investigation into Developing an Optimal Model for Predicting Credit Approval

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13. An Exploratory Study on Ensemble Classification Techniques: Investigating Their Application and Efficacy

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14. Utilizing Supervised Learning Techniques for Program Error Detection: A Comprehensive Approach

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15. Exploring Trends in Real-Time Data Streams through Frequent Itemset Mining in Big Data Analytics

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16. Exploring Sentimental Analysis of Medicine Reviews through Machine Learning Techniques

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17. Forecasting Stock Market Trends through Advanced Machine Learning Techniques

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18. Deep Learning for Automatic Facial Expression Recognition: Leveraging Local Features and Convolutional Neural Networks

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19. Evaluating the Performance of Naive Bayes and K-Nearest Neighbor Models for Predictive Analysis

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20. Enhancing Image Resolution through Generative Adversarial Deep Learning Networks for Superior Quality Images

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21. Automatic Text Detection from Images: A Deep Learning Approach

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22. Enhancing Image Copy-Move Forgery Detection Efficiency through Key Point Clustering and Similar Neighborhood Algorithm

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23. Forecasting Agricultural Crop Yield through Data Mining Methods

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24. Utilizing Python-Based Machine Learning for Discriminating Between Plants and Unwanted plant

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25. Analysis of Mobile Games: Android and iOS Rating Dataset

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