Dr. Vamsi Bandi

Qualification : Ph.D. (Lincoln University College, Malaysia)

 

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 Early Detection of Hemorrhagic Stroke Using a Lightweight Deep Learning Neural Network Model Traitement du Signal, 38(6), 2021.
2 Prediction of Brain Stroke Severity Using Machine Learning Revue d'Intelligence Artificielle, 34(6), 2020.
3 Object detection using machine learning for visually impaired people International Journal of Current Research and Review, 12(50), 2020.
4 Analysis of brain stroke and its occurrences Asia Life Sciences, 29(1), 2020.
5 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.
6 A Hybrid Intelligent Approach for Early Identification of Different Diseases in Plants Machine Intelligence and Soft Computing, Springer, 25-32, 2022.
7 Utilization of Machine Learning Techniques in Pharma Machine Intelligence and Soft Computing, Springer, 145-151, 2022.
8 Big Data Analytics Services in Health Care: An Extensive Review Machine Intelligence and Soft Computing, Springer, 167-172, 2022.
9 Detection of Brain Stroke Based on the Family History Using Machine Learning Techniques Smart Technologies in Data Science and Communication, Springer, 17-31, 2021.
10 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.
11 A Deep Learning-Based Object Detection System for Blind People Smart Technologies in Data Science and Communication, Springer, 223-231, 2021