Authors: P Ramya Sree
Page No: 01-03
DIN: IJOER-SVU-MAR-2025-1
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Special Issue: SV University, Tirupati - March 2025
Organized by: SV University, Tirupati
Volume 11, Issue 3 | March 2025 | Open Access | 18 Published Articles
About This Special Issue
This special issue features research contributions from scholars at SV University, Tirupati, covering diverse topics including Machine Learning, Data Analytics, Cybersecurity, Agricultural Technology, and Predictive Modeling. All articles are peer-reviewed and published under open access license.
1. An Analytical Study of Employee Attrition in a Corporate Environment
2. An Analytical Study on Netflix's Revenue and Subscriber Trends in 2020: Insights into the Global Streaming Industry
3. Analyzing the Physical and Chemical Properties of Organic Substances: A Data-Driven Approach
4. Automated Defect Detection in PCB Pads Using RGB Pixel Features and Machine Learning
5. Factors Affecting Campus Placement: A Data-Driven Analysis
6. Gait Analysis Using Machine Learning for Classification and Pattern Recognition
7. Global Population Dynamics: A Longitudinal Analysis across Countries (1960–2020)
8. Machine Learning-Based Crop Recommendation Using Environmental and Soil Parameters
9. Machine Learning-Based Intrusion Detection in Cybersecurity Networks: A Predictive Modeling Approach
10. Predicting Academic Outcomes in Higher Education using Machine Learning Techniques
11. Predicting Student Performance using Machine Learning Techniques: A Case Study on the MathE Dataset
12. Predictive Analysis of Traffic Violations in India using Machine Learning
13. Predictive and Sociological Analysis of Marriage Patterns in India Using Machine Learning
14. Predictive Modeling and Customer Satisfaction Analysis in E-commerce Delivery Services
15. Screen Time Patterns by Age, Gender, and Day Type: An Analytical Study
16. Sensor-Based Predictive Modeling for Automated Irrigation Systems
17. Text Analysis and Classification of Job Descriptions using NLP and Machine Learning
18. Time Series Analysis of Call Center Activity: A Data-Driven Approach Using Forecasting Techniques
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