A novel approach to predict diabetes by cascading clustering and classification P Hemant, T Pushpavathi 2012 Third International Conference on Computing, Communication and …, 2012 | 27 | 2012 |
Comprehensive traffic management system: Real-time traffic data analysis using RFID BS Meghana, S Kumari, TP Pushphavathi 2017 International conference of Electronics, Communication and Aerospace …, 2017 | 25 | 2017 |
A novel method for software defect prediction: hybrid of FCM and random forest TP Pushphavathi, V Suma, V Ramaswamy 2014 International Conference on Electronics and Communication Systems …, 2014 | 21 | 2014 |
Defect prediction in software projects-using genetic algorithm based fuzzy c-means clustering and random forest classifier TP Pushpavathi, V Suma, V Ramaswamy International Journal of Scientific & Engineering Research 5 (9), 888-898, 2014 | 14 | 2014 |
An approach for software defect prediction by combined soft computing TP Pushphavathi 2017 International Conference on Energy, Communication, Data Analytics and …, 2017 | 9 | 2017 |
Heart Failure Prediction by Feature Ranking Analysis in Machine Learning TP Pushpavathi, S Kumari, NK Kubra 2021 6th International Conference on Inventive Computation Technologies …, 2021 | 8 | 2021 |
An approach to predict software project success based on random forest classifier V Suma, TP Pushphavathi, V Ramaswamy ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention …, 2014 | 7 | 2014 |
Position Paper: Defect prediction approaches for software projects using genetic fuzzy data mining V Ramaswamy, TP Pushphavathi, V Suma ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention …, 2014 | 6 | 2014 |
An approach to predict software project success by cascading clustering and classification V Ramaswamy, V Suma, TP Pushphavathi IET Digital Library, 2012 | 6 | 2012 |
Intelligent lead-based bidirectional long short term memory for COVID-19 sentiment analysis S Kumari, TP Pushphavathi Social Network Analysis and Mining 13 (1), 1, 2022 | 5 | 2022 |
Question Answering and Text Generation Using BERT and GPT-2 Model S Kumari, TP Pushphavati Computational Methods and Data Engineering: Proceedings of ICCMDE 2021, 93-110, 2022 | 3 | 2022 |
Analysis of software fault and defect prediction by fuzzy c-means clustering and adaptive neuro fuzzy c-means clustering T Pushpavathi, V Suma, V Ramaswamy Int. J. Sci. Eng. Res 5 (9), 2014 | 3 | 2014 |
Enhanced possibilistic C-means clustering on big data while ensuring security SR Paladhi, R Mohan Kumar, AG Deepshika Reddy, CY Vinayak, ... International Conference on Computer Networks and Communication Technologies …, 2019 | 2 | 2019 |
Dynamic Cognitive Process Application of Blooms Taxonomy for Complex Software Design in the Cognitive Domain NR Kumar, TP Pushpavathi, R Selvarani arXiv preprint arXiv:1002.2829, 2010 | 2 | 2010 |
A comparative approach for Foreign Object Detection in the Food Industry A Hebbar, TP Pushphavathi Specialusis Ugdymas 1 (43), 6565-6578, 2022 | 1 | 2022 |
Analysis of Quality of Software Projects using Data Clustering Techniques TP Pushpavathi, V Ramaswamy, V Suma Amrita International Conference of Women in Computing (AICWIC), 2013 | 1 | 2013 |
Graph-Driven Topic Discovery: Extracting Insights from Citation Networks SK Rachamadugu, P T.P International Conference on Knowledge Engineering and Communication Systems …, 2024 | | 2024 |
, Strengthening Web Application Security: A Penetration Regression Test Selection Algorithm for Early Detection of Buffer Overflow Vulnerability S R. G, J Basu, TP Pushphavathi, PVR Murthy International Journal of Intelligent Systems and Applications in Engineering …, 2024 | | 2024 |
Effective community detection with topic modeling in article recommender systems using LS-SLM and PCC-LDA SK Rachamadugu, TP Pushphavathi Journal of Intelligent and Fuzzy Systems 47 (Preprint), 1-17, 2024 | | 2024 |
"A Comparative Analysis Of Community Detection Techniques And Metrics On Citation Network" SK Rachamadugu, Pushphavathi Thotadara Parameshwarappa Annals of Emerging Technologies in Computing (AETiC) 7 (4), pp. 1-13, 2023 | | 2023 |