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ORCIDMilind B. Ratnaparkhe
- > Home > Persons > Milind B. Ratnaparkhe
Publications
- 2025
[j12]Sujata Gudge, Aruna Tiwari, Milind B. Ratnaparkhe, Preeti Jha:
On construction of data preprocessing for real-life SoyLeaf dataset & disease identification using Deep Learning Models. Comput. Biol. Chem. 117: 108417 (2025)- [j11]Rajesh Dwivedi
, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Saurabh Kumar Singh, Abhishek Tripathi:
A novel chemical property-based, alignment-free scalable feature extraction method for genomic data clustering. Comput. Electr. Eng. 123: 110175 (2025) - [j10]Abhishek Tripathi, Aruna Tiwari, Narendra S. Chaudhari, Milind B. Ratnaparkhe, Neha Bharill, Preeti Jha, Rajesh Dwivedi:
Scalable alignment-free feature extraction approach for genome data and their cluster analysis. Multim. Tools Appl. 84(34): 43225-43261 (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) - [j8]Achint Kumar Kansal, Aruna Tiwari, Milind B. Ratnaparkhe, Rajesh Dwivedi, Preeti Jha:
A scalable method for extracting features using a complex network from SNP sequences and clustering using the scalable Max of Min algorithm. Soft Comput. 29(7): 3165-3188 (2025) - 2024
- [j7]Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Rishabh Soni, Rahul Mahbubani, Saket Kumar:
An incremental clustering method based on multiple objectives for dynamic data analysis. Multim. Tools Appl. 83(13): 38145-38165 (2024) - [j6]Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Parul Mogre, Pranjal Gadge, Kethavath Jagadeesh:
A novel apache spark-based 14-dimensional scalable feature extraction approach for the clustering of genomics data. J. Supercomput. 80(3): 3554-3588 (2024) - [j5]Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Alok Kumar Tiwari:
A taxonomy of unsupervised feature selection methods including their pros, cons, and challenges. J. Supercomput. 80(16): 24212-24240 (2024) - 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) - [c9]Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Abhishek Tripathi, Preeti Jha:
A Novel Feature Extraction Approach for the Clustering and Classification of Genome Sequences. SSCI 2023: 1018-1023 - [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 - [c4]Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe:
A Hybrid Feature Selection Approach for Data Clustering Based on Ant Colony Optimization. ICONIP (3) 2022: 659-670 - [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) - 2021
- [j3]Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Mukkamalla Mounika, Neha Nagendra:
Apache Spark based kernelized fuzzy clustering framework for single nucleotide polymorphism sequence analysis. Comput. Biol. Chem. 92: 107454 (2021) - [j2]Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Neha Nagendra, Mukkamalla Mounika:
Scalable incremental fuzzy consensus clustering algorithm for handling big data. Soft Comput. 25(13): 8703-8719 (2021) - [j1]Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Mukkamalla Mounika, Neha Nagendra:
A Novel Scalable Kernelized Fuzzy Clustering Algorithms Based on In-Memory Computation for Handling Big Data. IEEE Trans. Emerg. Top. Comput. Intell. 5(6): 908-919 (2021) - [c2]Ajay Choudhary, Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe:
Scalable Fuzzy Clustering-based Regression to Predict the Isoelectric Points of the Plant Protein Sequences using Apache Spark. FUZZ-IEEE 2021: 1-6 - 2018
- [c1]Neha Mehra, Aruna Tiwari, Milind B. Ratnaparkhe, Neha Bharill:
A Computational Analysis of Protein Sequences for Cyclophilin Superfamily using Feature Extraction. SSCI 2018: 1953-1957
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