Authors: Addepally Mary, Veera Venkata, Naga Lakshmi
Page No: 01-08
DIN: IJOER-SVU-JUN-2021-1
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Special Issue: SV University, Tirupati - June 2021
Organized by: SV University, Tirupati
Volume 7, Issue 6 | June 2021 | Open Access | 1 Published Article
About This Special Issue
This special issue features data mining, predictive analytics, and ML classification techniques contributed by scholars at SV University, Tirupati. All articles are peer-reviewed and published under open access license.
1. Prediction of Crop Yield in Agriculture using Data Mining Approaches
2. Finding Tendencies in Streaming Data using Big Data Frequent Itemset Mining
3. Heart Disease Identification Method Using Machine Learning Classification in E Healthcare
4. Plant and Weed Discrimination using Machine Learning using Python
5. Predicting Stock Market Trends Using Machine Learning
6. Sentimental Analysis of Medicine Reviews using Machine Learning
7. Fast and Effective Image Copy-Move Forgery Detection on Key point Clustering and Similar Neighborhood Algorithm
8. Image Super Resolution using Generative Adversarial Deep Learning Network
9. Alzheimer Disease Detection Using Image Processing
10. Automatic Text Detection Form Images using Deep Learning Approach
11. Medical Image Fusion of PET and MRI Images
12. Early Prediction of Low Birth Weight (LBW) Cases Using ML Approaches
13. Facial Expression Detection
14. Evaluation of Naive Bayes and K-Nearest Neighbour models for Prediction
15. Improved Brain Tumour Growth Prediction using ML Techniques
16. An Empirical Study of Troupe Grouping Procedures for Classifier Estimation
17. Coronary Illness Forecast and Recognition through Clinical Information Mining
18. Feature Determination Based on Mutual Information for Multiclassification Performance
19. Genetic Algorithm Based Feature Selection for Multiclassification
20. Recognize Bosom Malignancy using Machine Learning Techniques
21. Rule Based Characterization using Unequivocal and Supportive Classifiers
22. Vehicle Information Mining to Forecast Vehicle Market through AI Procedures
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