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Sumalatha Saleti
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2020 – today
- 2025
- [j11]Ramdas Kapila, Sumalatha Saleti:
Federated learning-based disease prediction: A fusion approach with feature selection and extraction. Biomed. Signal Process. Control. 100: 106961 (2025) - 2024
- [j10]Sumalatha Saleti, Lovely Yeswanth Panchumarthi, Yogeshvar Reddy Kallam, Lavanya Parchuri, Shilpa Jitte:
Enhancing Forecasting Accuracy with a Moving Average-Integrated Hybrid ARIMA-LSTM Model. SN Comput. Sci. 5(6): 704 (2024) - 2023
- [j9]Ramdas Kapila, Thirumalaisamy Ragunathan, Sumalatha Saleti, T. Jaya Lakshmi, Mohd Wazih Ahmad:
Heart Disease Prediction Using Novel Quine McCluskey Binary Classifier (QMBC). IEEE Access 11: 64324-64347 (2023) - [j8]Ramdas Kapila, Sumalatha Saleti:
An efficient ensemble-based Machine Learning for breast cancer detection. Biomed. Signal Process. Control. 86(Part B): 105269 (2023) - [j7]Ramdas Kapila, Sumalatha Saleti:
Optimizing fetal health prediction: Ensemble modeling with fusion of feature selection and extraction techniques for cardiotocography data. Comput. Biol. Chem. 107: 107973 (2023) - 2022
- [j6]Sumalatha Saleti, T. Jaya Lakshmi, Mohd Wazih Ahmad:
Mining High Utility Time Interval Sequences Using MapReduce Approach: Multiple Utility Framework. IEEE Access 10: 123301-123315 (2022) - [j5]Sumalatha Saleti:
Incremental mining of high utility sequential patterns using MapReduce paradigm. Clust. Comput. 25(2): 805-825 (2022) - 2021
- [c1]Sumalatha Saleti, Jaya Lakshmi Tangirala, Thirumalaisamy Ragunathan:
Distributed Mining of High Utility Time Interval Sequential Patterns with Multiple Minimum Utility Thresholds. IEA/AIE (1) 2021: 86-97 - 2020
- [j4]Sumalatha Saleti, R. B. V. Subramanyam:
Distributed mining of high utility time interval sequential patterns using mapreduce approach. Expert Syst. Appl. 141 (2020)
2010 – 2019
- 2019
- [j3]Sumalatha Saleti, R. B. V. Subramanyam:
A novel mapreduce algorithm for distributed mining of sequential patterns using co-occurrence information. Appl. Intell. 49(1): 150-171 (2019) - [j2]Sumalatha Saleti, R. B. V. Subramanyam:
A MapReduce solution for incremental mining of sequential patterns from big data. Expert Syst. Appl. 133: 109-125 (2019) - 2018
- [j1]Sumalatha Saleti, R. B. V. Subramanyam:
A novel Bit Vector Product algorithm for mining frequent itemsets from large datasets using MapReduce framework. Clust. Comput. 21(2): 1365-1380 (2018)
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