About
N/A
Experience
- 17 Years
Qualification
- PhD
- M.Tech
- B.Tech
Research
Publications ( SCOPUS-31, TOTAL-51)
- Quantum computing revolution in healthcare: a systematic review of applications, issues and future directions
- Breast Cancer Classification through Meta-Learning Ensemble Model based on Deep Neural Networks Sivaji, U., Padmini, S.P., Chatrapathy, K., ...Chandraprakash, V., Sucharitha, Y.Journal of Information Technology Management., 2024, 16(1), pp. 61–78. Scopus Indexed
- Multi-agent Iot-based System for Intelligent Vehicle Traffic Management Using Wireless Sensor Networks Kumar, G.R., Latha, S.B., Reddy, P.C.S., Sucharitha, Y. Recent Advances in Electrical and Electronic Engineering., 2024, 17(5), pp. 515–522. Scopus Indexed.
- Customer Churn Prevention For E-commerce Platforms using Machine Learning-based Business Intelligence Reddy, P.C.S., Sucharitha, Y., Vivekanand, A. Recent Advances in Electrical and Electronic Engineering, 2024, 17(5), pp. 456–465. Scopus Indexed.
- Network intrusion detection of drones using recurrent neural networks Sucharitha, Y., Reddy, P.C.S., Suryanarayana, G.Drone Technology: Future Trends and Practical Applications, 2023, pp. 375–392. Scopus Indexed.
Patents-01
- Successfully granted 10.02.2021 with Application No. 202141005635 Dynamic Device Management frame work for smart industries using OMA-DM IOT Protocol
Book Chapters-03
- Y. Sucharitha et al., A Personalized Artificial Neural Network for Rice Crop Yield Prediction, Artificial Intelligence and Data Science for Recommendation Systems: Current Trends, Technologies and Applications, 2021, Scopus Indexed, Bentham Science Publishers.
- Y. Sucharitha et al., Rainfall Prediction based Crop Analysis using Deep Learning, Urban computing with Artificial Intelligence and IoT (Emerging Technology for smart living), 2021, Scopus Indexed, River Publications.
- P Chandra Shaker Reddy et al., Network Intrusion Detection of Drones using Recurrent Neural Networks, Art of drone technologies-2022, Scopus Indexed, SCRIVENER Publications (Press)
Certifications
- Successfully completed 12 –weeks online NPTEL course on “Database Management System” in Oct-2018
- Successfully completed 7-weeks online course on “Machine Learning Foundations: A Case Study Approach”, offered by W UNIVERSITY of WASHINGTON on April 2020.
- Successfully completed 4-weeks online course on “AI for Everyone”, offered by Deeplearning.AI through Coursera platform in April-2020.
Area of Interest
- Data mining, Big Data Analytics and Machine Learning. Designed models for Emerging events detection from social media (Twitter) and predicting election results using machine learning techniques and tracking community events from social networks