| Feature selection techniques in the context of big data: taxonomy and analysis HM Abdulwahab, S Ajitha, MAN Saif Applied Intelligence 52 (12), 13568-13613, 2022 | 40 | 2022 |
| Neural network model for software size estimation using use case point approach S Ajitha, TVS Kumar, DE Geetha, KR Kanth 2010 5th International Conference on Industrial and Information Systems, 372-376, 2010 | 26 | 2010 |
| Hybrid approach for face recognition combining gabor wavelet and linear discriminant analysis AA Fathima, S Ajitha, V Vaidehi, M Hemalatha, R Karthigaiveni, R Kumar 2015 IEEE international conference on computer graphics, vision and …, 2015 | 22 | 2015 |
| Optimal travel management using software agent S Ajitha, G Mithun, TVS Kumar 2016 International Conference on Circuits, Controls, Communications and …, 2016 | 8 | 2016 |
| Predicting Performance of Multi-Agent systems during feasibility study S Ajitha, TVS Kumar, DE Geetha, K Rajanikanth 2009 International Conference on Intelligent Agent & Multi-Agent Systems, 1-5, 2009 | 6 | 2009 |
| Multi-agent based artificial war S Ajitha, A Datta, TVS Kumar 2017 Ninth International Conference on Advanced Computing (ICoAC), 92-96, 2017 | 5 | 2017 |
| Framework for Multi-Agent Systems Performance Prediction Process Model: MASP 3 S Ajitha, TVS Kumar, K Rajanikanth Our Indexing at International Level 4852, 774, 2014 | 4 | 2014 |
| A Quantitative Framework for early prediction of Cooperation in Multi-Agent System KR S.Ajitha,T.V.Suresh Kumar ICTACT Journal on Soft Computing 3 (4), 587-595, 2013 | 4 | 2013 |
| Performance prediction in early stages of software systems: Artificial neural network model S Ajitha, TVS Kumar, DE Geetha, K Rajnikanth 2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING …, 2010 | 4 | 2010 |
| Modeling and Estimation of Cooperative Index for Multi-Agent Systems Using Execution Graph S Ajitha, TV Suresh Kumar, D Evangelin Geetha, K Rajani Kanth Proceedings of International Conference on Advances in Computing, 41-48, 2012 | 2 | 2012 |
| Early Performance Prediction of Co-Operative Multi-Agent Systems S Ajitha, TVS Kumar, DE Geetha, K Rajanikanth Procedia engineering 38, 3037-3048, 2012 | 2 | 2012 |
| Methodology for Load Balancing in Multi‐Agent System Using SPE Approach S Ajitha Security Issues and Privacy Concerns in Industry 4.0 Applications, 207-227, 2021 | 1 | 2021 |
| Modeling the negotiation of Agents in MAS and Predicting the performance an SPE approach S Ajitha Informatica-An International Journal of Computing and Informatics 43 (3 …, 2019 | 1* | 2019 |
| ASSESSING PERFORMANCE OF AGENTS IN A MAS: AN EXPERIMENTAL STUDY. S Ajitha, TV Kumar International Journal of Advanced Research in Computer Science 10 (5), 2018 | 1 | 2018 |
| Foreign object detection using hybrid assessment and enhancement technique J Jayadharini, S Ajitha, T Divya, A AnnisFathima, V Vaidehi 2013 Fifth International Conference on Advanced Computing (ICoAC), 537-542, 2013 | 1 | 2013 |
| MOBCSA: Multi-Objective Binary Cuckoo Search Algorithm for Features Selection in Bioinformatics HM Abdulwahab, S Ajitha, MAN Saif, BAH Murshed, FA Ghanem IEEE Access, 2024 | | 2024 |
| Feasible Virtual Reality Application for Special Kids S Ajitha, M Balakrishna, M Niranjanamurthy 2022 Fourth International Conference on Emerging Research in Electronics …, 2022 | | 2022 |
| A Study on Deep Learning Predictive Models in Healthcare HN Sowmya, S Ajitha Information and Communication Technology for Competitive Strategies (ICTCS …, 2022 | | 2022 |
| Resourceful Smart Home Energy Automation System For Real World System S Ajitha, M Niranjanamurthy NVEO-NATURAL VOLATILES & ESSENTIAL OILS Journal| NVEO, 4481-4489, 2021 | | 2021 |
| Role of vocal biomarkers and deep learning in healthcare diagnostics SA Sowmya .H.N PENSEE International Journal 50 (12), 1807-1810, 2020 | | 2020 |
