Scalable Fuzzy Clustering-based Regression to Predict the Isoelectric Points of the Plant Protein Sequences using Apache Spark. - Ajay Choudhary; Preeti Jha; Aruna Tiwari; Neha Bharill; Milind B. Ratnaparkhe (FUZZ-IEEE, 2021)

Apache Spark based kernelized fuzzy clustering framework for single nucleotide polymorphism sequence analysis. - Preeti Jha; Aruna Tiwari; Neha Bharill; Milind B. Ratnaparkhe; Mukkamalla Mounika; Neha Nagendra (Comput. Biol. Chem., 2021)

Scalable incremental fuzzy consensus clustering algorithm for handling big data. - Preeti Jha; Aruna Tiwari; Neha Bharill; Milind B. Ratnaparkhe; Neha Nagendra; Mukkamalla Mounika (Soft Comput., 2021)

A Novel Scalable Kernelized Fuzzy Clustering Algorithms Based on In-Memory Computation for Handling Big Data. - Preeti Jha; Aruna Tiwari; Neha Bharill; Milind B. Ratnaparkhe; Mukkamalla Mounika; Neha Nagendra (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

A Novel Scalable Feature Extraction Approach for COVID-19 Protein Sequences and their Cluster Analysis with Kernelized Fuzzy Algorithm. - Preeti Jha; Aruna Tiwari; Neha Bharill; Milind B. Ratnaparkhe; Om Prakash Patel; Nilagiri Harshith; Soundarya Lahari Solasa (BigComp, 2022)

HPC enabled a Novel Deep Fuzzy Scalable Clustering Algorithm and its Application for Protein Data. - Preeti Jha; Aruna Tiwari; Neha Bharill; Milind B. Ratnaparkhe; Om Prakash Patel; Vaibhav Anand; Sudhanshu Arya; Tanmay Singh (CIBCB, 2022)

HPC Based Scalable Logarithmic Kernelized Fuzzy Clustering Algorithms for Handling Big Data. - Preeti Jha; Aruna Tiwari; Neha Bharill; Milind B. Ratnaparkhe; Om Prakash Patel; Sawarkar Saloni; Namani Sreeharsh (ICONIP (5), 2022)

High-Performance Computing based Scalable Online Fuzzy Clustering Algorithms for Big Data. - Preeti Jha; Aruna Tiwari; Neha Bharill; Milind B. Ratnaparkhe; Om Prakash Patel; Rapolu Pulakitha; Aditi Chauhan (SSCI, 2022)

A Novel Scalable Apache Spark Based Feature Extraction Approaches for Huge Protein Sequence and their Clustering Performance Analysis. - Preeti Jha; Aruna Tiwari; Neha Bharill; Milind B. Ratnaparkhe; Om Prakash Patel; Nilagiri Harshith; Mukkamalla Mounika; Neha Nagendra (CoRR, 2022)

A Novel Feature Extraction Approach for the Clustering and Classification of Genome Sequences. - Rajesh Dwivedi; Aruna Tiwari; Neha Bharill; Milind B. Ratnaparkhe; Abhishek Tripathi; Preeti Jha (SSCI, 2023)

Scalable Kernelized Deep Fuzzy Clustering Algorithms for Big Data. - Preeti Jha; Aruna Tiwari; Neha Bharill; Milind B. Ratnaparkhe; Om Prakash Patel; Anjali Gupta; Deepali Sukhija; Deepika Sukhija; Rajesh Dwivedi (SSCI, 2023)

Apache Spark-based scalable feature extraction approaches for protein sequence and their clustering performance analysis. - Preeti Jha; Aruna Tiwari; Neha Bharill; Milind B. Ratnaparkhe; Om Prakash Patel; Nilagiri Harshith; Mukkamalla Mounika; Neha Nagendra (Int. J. Data Sci. Anal., 2023)

Blockchain-based BATMAN protocol using mobile ad hoc network (MANET) with an ensemble algorithm. - Upendra Singh; Sumit Kumar Sharma; Mukul Shukla; Preeti Jha (Int. J. Inf. Sec., 2024)

On construction of data preprocessing for real-life SoyLeaf dataset & disease identification using Deep Learning Models. - Sujata Gudge; Aruna Tiwari; Milind B. Ratnaparkhe; Preeti Jha (Comput. Biol. Chem., 2025)

A scalable method for extracting features using a complex network from SNP sequences and clustering using the scalable Max of Min algorithm. - Achint Kumar Kansal; Aruna Tiwari; Milind B. Ratnaparkhe; Rajesh Dwivedi; Preeti Jha (Soft Comput., 2025)