Sumalatha Saleti

According to our database, Sumalatha Saleti authored at least 19 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

A fully decentralized federated adversarial vision transformer with blockchain and secure aggregation for visual-based intrusion and malware forensics.

Mohamad Mulham Belal, Sumalatha Saleti, Elakkiya E

Int. J. Data Sci. Anal., December, 2026

Dynamic RBFN with vector attention-guided feature selection for spam detection in social media.

E. Elakkiya, Sumalatha Saleti, Arunkumar Balakrishnan

Complex Intell. Syst., 2026

2025

Enhancing Disease Prediction with Correctness-Driven Ensemble Models.

Ramdas Kapila, Sumalatha Saleti

SN Comput. Sci., December, 2025

Federated learning-based disease prediction: A fusion approach with feature selection and extraction.

Ramdas Kapila, Sumalatha Saleti

Biomed. Signal Process. Control., 2025

2024

Enhancing Forecasting Accuracy with a Moving Average-Integrated Hybrid ARIMA-LSTM Model.

Sumalatha Saleti, Lovely Yeswanth Panchumarthi, Yogeshvar Reddy Kallam, Lavanya Parchuri, Shilpa Jitte

SN Comput. Sci., August, 2024

Insights into Gun-Related Deaths: A Comprehensive Machine Learning Analysis.

Lovely Yeswanth Panchumarthi, Lavanya Parchuri, Sumalatha Saleti

Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Addressing Nutrition Gaps: An In-Depth Study of Child Undernutrition.

Lovely Yeswanth Panchumarthi, Manoj Manike, Sumalatha Saleti, Priyanshu Singh, Purna Sai Madala, Steve Abraham Varghese

Proceedings of the OITS International Conference on Information Technology, 2024

Comparative Study of Melanoma Disease Classification Using Deep Learning.

Lovely Yeswanth Panchumarthi, Asish Karthikeya Gogineni, Sumalatha Saleti, Lavanya Parchuri, Harika Kakarala

Proceedings of the OITS International Conference on Information Technology, 2024

2023

Optimizing fetal health prediction: Ensemble modeling with fusion of feature selection and extraction techniques for cardiotocography data.

Ramdas Kapila, Sumalatha Saleti

Comput. Biol. Chem., December, 2023

An efficient ensemble-based Machine Learning for breast cancer detection.

Ramdas Kapila, Sumalatha Saleti

Biomed. Signal Process. Control., September, 2023

Heart Disease Prediction Using Novel Quine McCluskey Binary Classifier (QMBC).

Ramdas Kapila, Thirumalaisamy Ragunathan, Sumalatha Saleti, T. Jaya Lakshmi, Mohd Wazih Ahmad

IEEE Access, 2023

2022

Incremental mining of high utility sequential patterns using MapReduce paradigm.

Sumalatha Saleti

Clust. Comput., 2022

Mining High Utility Time Interval Sequences Using MapReduce Approach: Multiple Utility Framework.

Sumalatha Saleti, T. Jaya Lakshmi, Mohd Wazih Ahmad

IEEE Access, 2022

Exploring Patterns and Correlations Between Cryptocurrencies and Forecasting Crypto Prices Using Influential Tweets.

Mohit Kumar, Gurram Sahithi Priya, Praneeth Gadipudi, Ishita Agarwal, Sumalatha Saleti

Proceedings of the Machine Learning, Image Processing, Network Security and Data Sciences, 2022

2021

Distributed Mining of High Utility Time Interval Sequential Patterns with Multiple Minimum Utility Thresholds.

Sumalatha Saleti, Jaya Lakshmi Tangirala, Thirumalaisamy Ragunathan

Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021

2020

Distributed mining of high utility time interval sequential patterns using mapreduce approach.

Sumalatha Saleti, R. B. V. Subramanyam

Expert Syst. Appl., 2020

2019

A MapReduce solution for incremental mining of sequential patterns from big data.

Sumalatha Saleti, R. B. V. Subramanyam

Expert Syst. Appl., 2019

A novel mapreduce algorithm for distributed mining of sequential patterns using co-occurrence information.

Sumalatha Saleti, R. B. V. Subramanyam

Appl. Intell., 2019

2018

A novel Bit Vector Product algorithm for mining frequent itemsets from large datasets using MapReduce framework.

Sumalatha Saleti, R. B. V. Subramanyam

Clust. Comput., 2018