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. | An Efficient Lymphography Disease Prediction Using SVM with Feature Selection Authors: D Vinay, Anjan Babu G Digital Identification Number: IMJH-SVU-NOV-2022-1 |
01-04 | |
2. | Expecting the Seriousness of Mammographic Mass using Information Mining Strategy Authors: Munjuluru Rekha Sri, Dr. M. Sreedevi Digital Identification Number: IMJH-SVU-NOV-2022-2 |
05-08 | |
3. | An Effect of Element Choice in Programming Deformity Expectation Utilizing AI Authors: Gujjuboeni Rajitha, Anjan Babu G Digital Identification Number: IMJH-SVU-NOV-2022-3 |
09-12 | |
4. | Coronary Ailment Recognizable Proof Using Information Mining Procedures: A Test Review Authors: Pabbisetty Sailakshmi, Dr. M. Sreedevi Digital Identification Number: IMJH-SVU-NOV-2022-4 |
13-16 | |
5. | A Proficient Coronary illness Discovery Framework using Naive Bayes Characterization Authors: Pamba Arun, Dr. M. Sreedevi Digital Identification Number: IMJH-SVU-NOV-2022-5 |
17-19 | |
6. | An Experimental Study on Diagnosis spinal abnormalities utilizing Machine Learning Algorithms Authors: Jolla Manohar, Dr. G. Anjan Babu Digital Identification Number: IMJH-SVU-NOV-2022-6 |
20-23 | |
7. | A Comparative Study and Investigation of Bosom Malignant Growth Identification Utilizing AI Methods Authors: Pamisetty Sivasai, Dr. M. Sreedevi Digital Identification Number: IMJH-SVU-NOV-2022-7 |
24-26 | |
8. | A Concentrate on Post-Usable Future of Cellular Breakdown In The Lungs Patients Anticipated By Adaboost Model Authors: Pentagani Sudheer, Dr. M. Sreedevi Digital Identification Number: IMJH-SVU-NOV-2022-8 |
27-30 | |
9. | A Review and Assessment of Coronary Illness Expectation Utilizing AI Calculations Authors: Paradesi Karunakar, Dr. M. Sreedevi Digital Identification Number: IMJH-SVU-NOV-2022-9 |
31-34 | |
10. | A Test and Relative Review for Fetal Health Arrangement utilizing Cardiotocogram Information Authors: Parvatham Mahesh, Dr. M. Sreedevi Digital Identification Number: IMJH-SVU-NOV-2022-10 |
35-37 | |
11. | An Exact Examination of Multi-Class Gathering Model Involving SVM for Recognizing Essential Tumer Authors: Pidugu Sravani, Dr. M. Sreedevi Digital Identification Number: IMJH-SVU-NOV-2022-11 |
38-41 | |
12. | Heart Attack in Stroke Patients: A Performance Comparative Analysis Using Machine Learning Algorithms Authors: Sappogu Sudhakar, Dr. G.V. Ramesh Babu Digital Identification Number: IMJH-SVU-NOV-2022-12 |
42-45 | |
13. | An Observational Examination of SVM Optimized Kernel Choice for Liver Disease Expectation Authors: Shaik Anas, Dr. G.V. Ramesh Babu Digital Identification Number: IMJH-SVU-NOV-2022-13 |
46-49 | |
14. | An Exhaustive Report on EEG Signs Utilizing AI Approach Authors: K Haritha, Dr. G. Anjan Babu Digital Identification Number: IMJH-SVU-NOV-2022-14 |
50-52 | |
15. | A Test Execution Examination of Diabetic Retinopathy Expectation Utilizing AI Models Authors: Pindiboyina Bhaskar, Dr. M. Sreedevi Digital Identification Number: IMJH-SVU-NOV-2022-15 |
53-55 | |
16. | A Trial Concentrate on Effect of Feature Choice for Neural Network approach Authors: Poola Shaik Hayath Basha, Dr. M. Sreedevi Digital Identification Number: IMJH-SVU-NOV-2022-16 |
56-58 | |
17. | An Extensive Study on The Likelihood of Liver Cancer Using Machine Learning Authors: Sahik Sharukh, Dr. G.V. Ramesh Babu Digital Identification Number: IMJH-SVU-NOV-2022-17 |
59-61 |