Acceptance Rate (By Year) |
|
Year |
Percentage |
2020 |
14.8% |
2019 |
12.1% |
2018 |
10.8% |
2017 |
13.5% |
2016 |
19.2% |
2015 |
14.4% |
Sr No. | Title | Page No | Download |
1. | Comparative Analysis of Supervised Learning Algorithms for Predictive Modeling of Abalone Age Authors: Adaveni Hari PriyaDigital Identification Number: IMJH-SVU-MAY-2023-1 | 01-04 | |
2. | Predicting Diabetic Retinopathy using AI Models: An Experimental Study Authors: A S MahalakshmiDigital Identification Number: IMJH-SVU-MAY-2023-2 | 05-08 | |
3. | An Analysis of Machine Learning Algorithms for Early Prediction of Heart Attack in Stroke Patients Authors: C. Naga JyothiDigital Identification Number: IMJH-SVU-MAY-2023-3 | 09-12 | |
4. | Comparative Analysis of Supervised Learning Algorithms for Predicting the Cellular Localization Sites of Proteins with Yeast Dataset Authors: D. IndujaDigital Identification Number: IMJH-SVU-MAY-2023-4 | 13-16 | |
5. | An Evaluation of K-means Clustering Algorithm for Pattern Recognition Authors: H. Vasanth KumarDigital Identification Number: IMJH-SVU-MAY-2023-5 | 17-19 | |
6. | An Empirical Assessment and Comparative Analysis of Fetal Health Classification using Cardiotocogram Data Authors: N. PravalikaDigital Identification Number: IMJH-SVU-MAY-2023-6 | 20-22 | |
7. | A Survey and Evaluation of Coronary Disease Assumption using Simulated Intelligence Computations Authors: K. Vamsi KrishnaDigital Identification Number: IMJH-SVU-MAY-2023-7 | 23-25 | |
8. | Dermatology Prediction Using Naive Bayes and K-Nearest Neighbors Algorithms Authors: M. SrijaDigital Identification Number: IMJH-SVU-MAY-2023-8 | 26-28 | |
9. | Feature Selection Impact on Hypothyroid Disease Prediction using Neural Network Approach Authors: M. SanthiDigital Identification Number: IMJH-SVU-MAY-2023-9 | 29-32 | |
10. | Predicting Melanoma Patient Prognosis using SVM and MLP Algorithms Authors: Syed Mehathab ReshmaDigital Identification Number: IMJH-SVU-MAY-2023-10 | 33-35 | |
11. | Analysis and Prediction of Diabetes Mellitus using Machine Learning: A Study on Diabetic Dataset Authors: T. Muni DharaniDigital Identification Number: IMJH-SVU-MAY-2023-11 | 36-38 | |
12. | Execution Assessment of Logistic Regression and Naïve Bayes Calculations for Bosom Disease Endurance Expectation Authors: U Raga SumaniDigital Identification Number: IMJH-SVU-MAY-2023-12 | 39-41 | |
13. | A Comparative Analysis of K-Nearest Neighbors and Naive Bayes Algorithms for Classifying Abnormal and Normal Spine Datasets Authors: Y. Naga VyshnaviDigital Identification Number: IMJH-SVU-MAY-2023-13 | 42-44 | |
14. | An Exploratory Concentrate on Dermatology sickness using Information Mining Procedures Authors: T. AnilDigital Identification Number: IMJH-SVU-MAY-2023-14 | 45-47 | |
15. | A Trial Approach for Bosom Disease Expectation utilizing AI Strategies Authors: Balarajappa Gari Hareesha, G V Ramesh BabuDigital Identification Number: IMJH-SVU-MAY-2023-15 | 48-50 | |
16. | An Empirical Approach to Heart Disease Prediction Using Machine Learning Algorithms: A Case Study on Heart Disease Authors: Banavatula Vasantha Bhai, G V Ramesh BabuDigital Identification Number: IMJH-SVU-MAY-2023-16 | 51-54 | |
17. | Comparative Analysis of Machine Learning Algorithms for Heart Attack Classification: K-Nearest Neighbors vs. Naïve Bayes Authors: Basineni Sri Manikanta, G V Ramesh BabuDigital Identification Number: IMJH-SVU-MAY-2023-17 | 55-58 | |
18. | Exploring Heart Disease Diagnosis using Multivariate Data Analysis: A Comparative Study of Naive Bayes and Logistic Regression Authors: Suriboina Manichandhana, G V Ramesh BabuDigital Identification Number: IMJH-SVU-MAY-2023-18 | 59-61 | |
19. | Ensemble Classification for Liver Disease Prediction: A Comparative Analysis of AdaBoost and Gradient Boosting Authors: Suddala Lokesh, G V Ramesh BabuDigital Identification Number: IMJH-SVU-MAY-2023-19 | 62-64 | |
20. | Multiclass Classification of Dermatology Disorders Using Logistic Regression: A Comparative Study of One vs One and One vs Rest Approaches Authors: Vadde Vishala, G V Ramesh BabuDigital Identification Number: IMJH-SVU-MAY-2023-20 | 65-67 | |
21. | Multilabel Prediction for Primary Tumor Surgery Classification Using Logistic Regression with One-vs-One and One-Against-One Approaches Authors: Vangapati Ravi, G V Ramesh BabuDigital Identification Number: IMJH-SVU-MAY-2023-21 | 68-71 | |
22. | Predictive Modeling of Thyroid Disease Using Machine Learning Algorithms Authors: Valpi Jhansi, G V Ramesh BabuDigital Identification Number: IMJH-SVU-MAY-2023-22 | 72-75 | |
23. | Comparative Analysis of Decision Tree Attribute Selection Measures for Breast Cancer Diagnosis Authors: Meruva Anusha, G V Ramesh BabuDigital Identification Number: IMJH-SVU-MAY-2023-23 | 76-79 |