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ORCIDNeha Bharill
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2020 – today
- 2024
[j15]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)- [j14]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) - [j13]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) - [c26]Pawan Chinnari, Soumen Sinha, Budonkayala Ishaa, Neha Bharill, Om Prakash Patel:
Semantic Segmentation in Aerial Imagery: A Novel Approach for Urban Planning and Development. COMPSAC 2024: 1618-1623 - 2023
- [j12]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) - [c25]Soumen Sinha, Pranav Sunil, Neha Bharill, Om Prakash Patel:
HybridSeqNet: A Multimodal Approach Incorporating Convolutional and Long Short-Term Memory Networks for Comprehensive Structural Protein Classification. BCD 2023: 289-294 - [c24]Sai Siddhartha Vivek Dhir Rangoju, Keshav Garg, Rohith Dandi, Om Prakash Patel, Neha Bharill:
Soybean Genome Clustering Using Quantum-Based Fuzzy C-Means Algorithm. ICONIP (4) 2023: 83-94 - [c23]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 - [c22]Saketh Innani, Pawan Chinnari, Soumen Sinha, Mehek Khan, Neha Bharill, Om Prakash Patel:
A Novel Robust Kernelized FCM Based Multi-Objective Simultaneous Learning Framework for Clustering and Classification. SSCI 2023: 1251-1256 - [c21]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
- [c20]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 - [c19]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 - [c18]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 - [c17]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 - [c16]Sai Siddhartha Vivek Dhir Rangoju, Om Prakash Patel, Neha Bharill:
Advanced Quantum Inspired Evolutionary Algorithm for Multivariate Optimization. SNPD 2022: 97-102 - [c15]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 - [i1]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
- [j11]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) - [j10]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) - [j9]Om Prakash Patel, Neha Bharill, Aruna Tiwari, Mukesh Prasad:
A Novel Quantum-Inspired Fuzzy Based Neural Network for Data Classification. IEEE Trans. Emerg. Top. Comput. 9(2): 1031-1044 (2021) - [j8]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) - [c14]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 - 2020
- [j7]Neha Bharill, Aruna Tiwari, Aayushi Malviya, Om Prakash Patel, Akahansh Gupta, Deepak Puthal, Amit Saxena, Mukesh Prasad:
Fuzzy knowledge based performance analysis on big data. Neurocomputing 389: 218-228 (2020) - [c13]Surendrabikram Thapa, Priyanka Singh, Deepak Kumar Jain, Neha Bharill, Akshansh Gupta, Mukesh Prasad:
Data-Driven Approach based on Feature Selection Technique for Early Diagnosis of Alzheimer's Disease. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j6]Neha Bharill, Om Prakash Patel, Aruna Tiwari, Lifeng Mu, Dong-Lin Li, Manoranjan Mohanty, Omprakash Kaiwartya, Mukesh Prasad:
A Generalized Enhanced Quantum Fuzzy Approach for Efficient Data Clustering. IEEE Access 7: 50347-50361 (2019) - [j5]Om Prakash Patel, Neha Bharill, Aruna Tiwari, Vikram Patel, Ojas Gupta, Jian Cao, Jun Li, Mukesh Prasad:
Advanced Quantum Based Neural Network Classifier and Its Application for Objectionable Web Content Filtering. IEEE Access 7: 98069-98082 (2019) - [j4]Om Prakash Patel, Aruna Tiwari, Rishabh Chaudhary, Sai Vidyaranya Nuthalapati, Neha Bharill, Mukesh Prasad, Farookh Khadeer Hussain, Omar Khadeer Hussain:
Enhanced quantum-based neural network learning and its application to signature verification. Soft Comput. 23(9): 3067-3080 (2019) - 2018
- [j3]Neha Bharill, Om Prakash Patel, Aruna Tiwari:
Quantum-inspired evolutionary approach for selection of optimal parameters of fuzzy clustering. Int. J. Syst. Assur. Eng. Manag. 9(4): 875-887 (2018) - [c12]Deepthi Badarinath, Chaitra S, Neha Bharill, Muhammad Tanveer, Mukesh Prasad, H. N. Suma, Abhishek M. Appaji, Anand Vinekar:
Study of Clinical Staging and Classification of Retinal Images for Retinopathy of Prematurity (ROP) Screening. IJCNN 2018: 1-6 - [c11]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 - [c10]Shantanu Rajora, Dong-Lin Li, Chandan Jha, Neha Bharill, Om Prakash Patel, Sudhanshu Joshi, Deepak Puthal, Mukesh Prasad:
A Comparative Study of Machine Learning Techniques for Credit Card Fraud Detection Based on Time Variance. SSCI 2018: 1958-1963 - 2017
- [j2]Amit Saxena, Mukesh Prasad, Akshansh Gupta, Neha Bharill, Om Prakash Patel, Aruna Tiwari, Meng Joo Er, Weiping Ding, Chin-Teng Lin:
A review of clustering techniques and developments. Neurocomputing 267: 664-681 (2017) - [c9]Kuang-Pen Chou, Mukesh Prasad, Dong-Lin Li, Neha Bharill, Yu-Feng Lin, Farookh Khadeer Hussain, Chin-Teng Lin, Wen-Chieh Lin:
Automatic Multi-view Action Recognition with Robust Features. ICONIP (3) 2017: 554-563 - [c8]Jagendra Singh, Mukesh Prasad, Yousef-Awwad Daraghmi, Prayag Tiwari, Pranay Yadav, Neha Bharill, Mahardhika Pratama, Amit Saxena:
Fuzzy logic hybrid model with semantic filtering approach for pseudo relevance feedback-based query expansion. SSCI 2017: 1-7 - 2016
- [j1]Neha Bharill, Aruna Tiwari, Aayushi Malviya:
Fuzzy Based Scalable Clustering Algorithms for Handling Big Data Using Apache Spark. IEEE Trans. Big Data 2(4): 339-352 (2016) - [c7]Neha Bharill, Aruna Tiwari, Aayushi Malviya:
Fuzzy Based Clustering Algorithms to Handle Big Data with Implementation on Apache Spark. BigDataService 2016: 95-104 - 2015
- [c6]Neha Bharill, Aruna Tiwari:
A Novel Technique of Feature Extraction Based on Local and Global Similarity Measure for Protein Classification. BIOINFORMATICS 2015: 219-224 - [c5]Om Prakash Patel, Neha Bharill, Aruna Tiwari:
A Quantum-Inspired Fuzzy based Evolutionary algorithm for data clustering. FUZZ-IEEE 2015: 1-8 - [c4]Neha Bharill, Om Prakash Patel, Aruna Tiwari:
An Enhanced Quantum-Inspired Evolutionary Fuzzy Clustering. SSCI 2015: 772-779 - 2014
- [c3]Neha Bharill, Aruna Tiwari:
Enhanced cluster validity index for the evaluation of optimal number of clusters for Fuzzy C-Means algorithm. FUZZ-IEEE 2014: 1526-1533 - 2013
- [c2]Neha Bharill, Aruna Tiwari:
Handling Big Data with Fuzzy Based Classification Approach. WCSC 2013: 219-227 - 2011
- [c1]Neha Bharill, Aruna Tiwari:
Multi-class Classification Using an Improved Multiobjective Simultaneous Learning Framework. SocProS (2) 2011: 821-831
Coauthor Index
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