| Cost-effective workflow scheduling approach on cloud under deadline constraint using firefly algorithm KK Chakravarthi, L Shyamala, V Vaidehi Applied Intelligence 51 (3), 1629-1644, 2021 | 42 | 2021 |
| Budget aware scheduling algorithm for workflow Applications in IaaS clouds VV K. Kalyan Chakravarth, L. Shyamala Cluster Computing, 1-15, 2020 | 39 | 2020 |
| TOPSIS inspired budget and deadline aware multi-workflow scheduling for cloud computing KK Chakravarthi, L Shyamala Journal of Systems Architecture 114, 101916, 2021 | 32 | 2021 |
| TOPSIS inspired cost-efficient concurrent workflow scheduling algorithm in cloud KK Chakravarthi, L Shyamala, V Vaidehi Journal of King Saud University-Computer and Information Sciences 34 (6 …, 2022 | 24 | 2022 |
| Reliable budget aware workflow scheduling strategy on multi-cloud environment KK Chakravarthi, P Neelakantan, L Shyamala, V Vaidehi Cluster Computing 25 (2), 1189-1205, 2022 | 23 | 2022 |
| Prediction of Employee Turnover Using Ensemble Learning LS 2. Karande, Shubham Ambient Communications and Computer Systems, 319-327, 2019 | 18 | 2019 |
| Differentiated policy based job scheduling with queue model and advanced reservation technique in a private cloud environment S Loganathan, S Mukherjee Grid and Pervasive Computing: 8th International Conference, GPC 2013 and …, 2013 | 15 | 2013 |
| Energy Aware Resource Management and Job Scheduling in Cloud Datacenter. S Loganathan, RD Saravanan, S Mukherjee International Journal of Intelligent Engineering & Systems 10 (4), 2017 | 11 | 2017 |
| Job scheduling with efficient resource monitoring in cloud datacenter S Loganathan, S Mukherjee The Scientific World Journal 2015 (1), 983018, 2015 | 11 | 2015 |
| Educloud: an institutional cloud with optimal scheduling policies L Shyamala, S Mukherjee International Conference on Computing and Communication Systems, 114-123, 2011 | 8 | 2011 |
| Role of broker in InterCloud environment S Mukherjee, S Loganathan Continued Rise of the Cloud: Advances and Trends in Cloud Computing, 119-144, 2014 | 7 | 2014 |
| A comparison of machine learning and deep learning methods with rule based features for mixed emotion analysis C Daniel, S Loganathan Int. J. Intell. Eng. Syst 14 (1), 42-53, 2021 | 6 | 2021 |
| Suspicious Score Based Mechanism to Protect Web Servers against Application Layer Distributed Denial of Service Attacks. RD Saravanan, S Loganathan, S Shunmuganathan, Y Palanichamy International Journal of Intelligent Engineering & Systems 10 (4), 2017 | 3 | 2017 |
| An insight on sentiment analysis research from text using deep learning methods L Christy Daniel, D., Shyamala International Journal of Innovative Technology and Exploring Engineering 8 …, 2019 | 1 | 2019 |
| Enhancing Investment Decision-Making: A Comprehensive Approach through Fundamental, Technical and Sentiment Analysis with Machine Learning and Deep Learning Algorithms H Goel, L Shyamala 2024 10th International Conference on Communication and Signal Processing …, 2024 | | 2024 |
| Cloud Cryptography RD Saravanan, S Loganathan, S Shunmuganathan Emerging Trends in Cloud Computing Analytics, Scalability, and Service …, 2024 | | 2024 |
| TOPSIS inspired cost-efficient concurrent workflow scheduling algorithm in cloud”, Journal of King Saud University – Computer and Information Sciences VV K. Kalyan Chakravarth, L. Shyamala Journal of King Saud University – Computer and Information Sciences, 2020 | | 2020 |
| Research Article Job Scheduling with Efficient Resource Monitoring in Cloud Datacenter S Loganathan, S Mukherjee | | 2015 |
| Hybrid CNN Classification for Sentiment Analysis under Deep Learning DC Daniel, L Shyamala | | |
