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ORCIDMilind B. Ratnaparkhe
- > Home > Persons > Milind B. Ratnaparkhe
Publications
- 2025
[j9]Preeti Jha
, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel:
Gpu-enhanced scalable methods for genome sequence feature extraction and clustering. Int. J. Syst. Assur. Eng. Manag. 16(11): 3800-3815 (2025)- 2023
- [j4]Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Nilagiri Harshith, Mukkamalla Mounika, Neha Nagendra:
Apache Spark-based scalable feature extraction approaches for protein sequence and their clustering performance analysis. Int. J. Data Sci. Anal. 15(4): 359-378 (2023) - [c8]Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Anjali Gupta, Deepali Sukhija, Deepika Sukhija, Rajesh Dwivedi:
Scalable Kernelized Deep Fuzzy Clustering Algorithms for Big Data. SSCI 2023: 1322-1327 - 2022
- [c7]Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Nilagiri Harshith, Soundarya Lahari Solasa:
A Novel Scalable Feature Extraction Approach for COVID-19 Protein Sequences and their Cluster Analysis with Kernelized Fuzzy Algorithm. BigComp 2022: 56-59 - [c6]Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Vaibhav Anand, Sudhanshu Arya, Tanmay Singh:
HPC enabled a Novel Deep Fuzzy Scalable Clustering Algorithm and its Application for Protein Data. CIBCB 2022: 1-8 - [c5]Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Sawarkar Saloni, Namani Sreeharsh:
HPC Based Scalable Logarithmic Kernelized Fuzzy Clustering Algorithms for Handling Big Data. ICONIP (5) 2022: 205-215 - [c3]Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Rapolu Pulakitha, Aditi Chauhan:
High-Performance Computing based Scalable Online Fuzzy Clustering Algorithms for Big Data. SSCI 2022: 1400-1407 - [i3]Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Nilagiri Harshith, Mukkamalla Mounika, Neha Nagendra:
A Novel Scalable Apache Spark Based Feature Extraction Approaches for Huge Protein Sequence and their Clustering Performance Analysis. CoRR abs/2204.11835 (2022)
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