Dr. Vamsi Bandi
Qualification : Ph.D. (Lincoln University College, Malaysia)
Designation : Asst. Professor
Details of Educational Qualification:
Course | Specialization | Group | College Name/University | Year of Passing |
---|---|---|---|---|
Ph.D. | Information Technology | Information Technology | Lincoln University College (LUC), Malaysia | 2022 |
M.Tech. | Computer Science and Technology | Computer Science and Technology | Andhra University College of Engineering, Andhra University, | 2016 |
B.Tech. | Information Technology | Information Technology | D.M.S.Sri Venkateswara of Hindu College of Engineering, Acharya Nagarjuna University | 2012 |
S.No | Title of the Paper | Full Details of Journal Name / Conference Name, Volume number, page number, Date |
---|---|---|
1 | A Stroke Complication Neural Network Model to Predict the Severity of Brain Stroke Using Family History |
(Conference Paper) Accelerating Discoveries in Data Science and Artificial Intelligence I (ICDSAI 2023) Springer Proceedings in Mathematics & Statistics, (PROMS), Springer, Cham. Vol 421, pp 831–840, 29-May-2024.https://doi.org/10.1007/978-3-031-51167-7_79 |
2 | An Early-Stage Colorectal Cancer Detection from Colonoscopy Images Using Enhanced Res-UNET | (Conference Paper) Accelerating Discoveries in Data Science and Artificial Intelligence I (ICDSAI 2023) Springer Proceedings in Mathematics & Statistics, (PROMS), Springer, Cham. Vol 421, pp 47-56, 29-May-2024. https://doi.org/10.1007/978-3-031-51167-7_5 |
3 | Prediction of Rice Leaf Diseases at an Early Stage Using Deep Neural Networks | (Conference Paper) Accelerating Discoveries in Data Science and Artificial Intelligence I (ICDSAI 2023) Springer Proceedings in Mathematics & Statistics, (PROMS), Springer, Cham. Vol 421, pp 57-66, 29-May-2024. https://doi.org/10.1007/978-3-031-51167-7_6 |
4 | A Detailed Case Study on Various Challenges in Vehicular Networks for Smart Traffic Control System Using Machine Learning Algorithms | (Book Chapter) Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications (1st ed.). CRC Press. Pages: 182. 26-Jan-2024. http://dx.doi.org/10.1201/9781003409502-3 |
5 | Unicode-Powered Handwritten Telugu-to-English Character Recognition and Translation System using Deep Learning | (Article) International Journal of Intelligent Systems and Applications in Engineering (IJISAE) 12(10s), 515–525. 07-Jan-2024. https://ijisae.org/index.php/IJISAE/article/view/4400 |
6 | Lexical Based Reordering Models for English to Telugu Machine Translation | (Article) Revue d'Intelligence Artificielle, Vol. 37, No. 5, pp. 1109-1120. 31-Oct-2023 https://doi.org/10.18280/ria.370503 |
7 | An Efficient, Lightweight, Tiny 2D-CNN Ensemble Model to Detect Cardiomegaly in Heart CT Images | (Article) Journal of Personalized Medicine 13, no. 9: 1338. 30-Aug-2023. https://doi.org/10.3390/jpm13091338 |
8 | A Corpus-Based Auto-encoder-and-Decoder Machine Translation Using Deep Neural Network for Translation from English to Telugu Language | (Article) SN Computer Science (SNCS), 4, 354 (2023). 26-April-2023. https://doi.org/10.1007/s42979-023-01678-4 |
9 | An Auto Encoder-Decoder Approach to Classify the Bird Sounds Using Deep Learning Techniques | (Article) SN Computer Science (SNCS), 4, 289 (2023). 27-Mar-2023. https://doi.org/10.1007/s42979-023-01686-4 |
10 | Prediction of Micro Vascular and Macro Vascular Complications in Type-2 Diabetic Patients using Machine Learning Techniques | (Article) International Journal of Advanced Computer Science and Applications(IJACSA), 13(11), 2022. 25-Dec-2022. http://dx.doi.org/10.14569/IJACSA.2022.0131103 |
11 | Early Detection of Hemorrhagic Stroke Using a Lightweight Deep Learning Neural Network Model | Traitement du Signal, 38(6), 2021. |
12 | Prediction of Brain Stroke Severity Using Machine Learning | Revue d'Intelligence Artificielle, 34(6), 2020. |
13 | Object detection using machine learning for visually impaired people | International Journal of Current Research and Review, 12(50), 2020. |
14 | Analysis of brain stroke and its occurrences | Asia Life Sciences, 29(1), 2020. |
15 | A Machine Intelligence Model to Detect Drowsiness for Preventing Road Accidents 2022 | International Conference on Applied Artificial Intelligence and Computing (ICAAIC), IEEE, 406-411, 2022. |
16 | A Hybrid Intelligent Approach for Early Identification of Different Diseases in Plants | Machine Intelligence and Soft Computing, Springer, 25-32, 2022. |
17 | Utilization of Machine Learning Techniques in Pharma | Machine Intelligence and Soft Computing, Springer, 145-151, 2022. |
18 | Big Data Analytics Services in Health Care: An Extensive Review | Machine Intelligence and Soft Computing, Springer, 167-172, 2022. |
19 | Detection of Brain Stroke Based on the Family History Using Machine Learning Techniques | Smart Technologies in Data Science and Communication, Springer, 17-31, 2021. |
20 | Comparative analysis of prevalent disease by preprocessing techniques using big data and machine learning: An extensive review | Machine Intelligence and Soft Computing, Springer, 27-38, 2021. |
21 | A Deep Learning-Based Object Detection System for Blind People | Smart Technologies in Data Science and Communication, Springer, 223-231, 2021. |