Neha Bharill
Orcid: 0000-0002-2202-3647
According to our database1,
Neha Bharill
authored at least 40 papers
between 2011 and 2024.
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Bibliography
2024
An incremental clustering method based on multiple objectives for dynamic data analysis.
Multim. Tools Appl., April, 2024
A novel apache spark-based 14-dimensional scalable feature extraction approach for the clustering of genomics data.
J. Supercomput., February, 2024
2023
Apache Spark-based scalable feature extraction approaches for protein sequence and their clustering performance analysis.
Int. J. Data Sci. Anal., May, 2023
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
A Novel Robust Kernelized FCM Based Multi-Objective Simultaneous Learning Framework for Clustering and Classification.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
A Novel Feature Extraction Approach for the Clustering and Classification of Genome Sequences.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Proceedings of the Neural Information Processing - 30th International Conference, 2023
HybridSeqNet: A Multimodal Approach Incorporating Convolutional and Long Short-Term Memory Networks for Comprehensive Structural Protein Classification.
Proceedings of the 8th IEEE/ACIS International Conference on Big Data, 2023
2022
A Novel Scalable Apache Spark Based Feature Extraction Approaches for Huge Protein Sequence and their Clustering Performance Analysis.
CoRR, 2022
High-Performance Computing based Scalable Online Fuzzy Clustering Algorithms for Big Data.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Proceedings of the 24th IEEE/ACIS International Conference on Software Engineering, 2022
HPC Based Scalable Logarithmic Kernelized Fuzzy Clustering Algorithms for Handling Big Data.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
A Hybrid Feature Selection Approach for Data Clustering Based on Ant Colony Optimization.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
HPC enabled a Novel Deep Fuzzy Scalable Clustering Algorithm and its Application for Protein Data.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022
A Novel Scalable Feature Extraction Approach for COVID-19 Protein Sequences and their Cluster Analysis with Kernelized Fuzzy Algorithm.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2022
2021
A Novel Scalable Kernelized Fuzzy Clustering Algorithms Based on In-Memory Computation for Handling Big Data.
IEEE Trans. Emerg. Top. Comput. Intell., 2021
IEEE Trans. Emerg. Top. Comput., 2021
Soft Comput., 2021
Apache Spark based kernelized fuzzy clustering framework for single nucleotide polymorphism sequence analysis.
Comput. Biol. Chem., 2021
Scalable Fuzzy Clustering-based Regression to Predict the Isoelectric Points of the Plant Protein Sequences using Apache Spark.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021
2020
Data-Driven Approach based on Feature Selection Technique for Early Diagnosis of Alzheimer's Disease.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Enhanced quantum-based neural network learning and its application to signature verification.
Soft Comput., 2019
Advanced Quantum Based Neural Network Classifier and Its Application for Objectionable Web Content Filtering.
IEEE Access, 2019
IEEE Access, 2019
2018
Quantum-inspired evolutionary approach for selection of optimal parameters of fuzzy clustering.
Int. J. Syst. Assur. Eng. Manag., 2018
A Comparative Study of Machine Learning Techniques for Credit Card Fraud Detection Based on Time Variance.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
A Computational Analysis of Protein Sequences for Cyclophilin Superfamily using Feature Extraction.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Study of Clinical Staging and Classification of Retinal Images for Retinopathy of Prematurity (ROP) Screening.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
Fuzzy logic hybrid model with semantic filtering approach for pseudo relevance feedback-based query expansion.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2016
IEEE Trans. Big Data, 2016
Fuzzy Based Clustering Algorithms to Handle Big Data with Implementation on Apache Spark.
Proceedings of the Second IEEE International Conference on Big Data Computing Service and Applications, 2016
2015
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
A Novel Technique of Feature Extraction Based on Local and Global Similarity Measure for Protein Classification.
Proceedings of the BIOINFORMATICS 2015, 2015
2014
Enhanced cluster validity index for the evaluation of optimal number of clusters for Fuzzy C-Means algorithm.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
2013
Proceedings of the Advance Trends in Soft Computing, 2013
2011
Multi-class Classification Using an Improved Multiobjective Simultaneous Learning Framework.
Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011, 2011