Om Prakash Patel
According to our database1,
Om Prakash Patel
authored at least 27 papers
between 2014 and 2024.
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Bibliography
2024
Semantic Segmentation in Aerial Imagery: A Novel Approach for Urban Planning and Development.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 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
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
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
IEEE Trans. Emerg. Top. Comput., 2021
2020
Proceedings of the IEEE Congress on Evolutionary Computation, 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
2017
2015
Quantum Based Neural Network Classifier and Its Application for Firewall to Detect Malicious Web Request.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
Proceedings of the 16th IEEE/ACIS International Conference on Software Engineering, 2015
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
2014
Liver Disease Diagnosis Using Quantum-based Binary Neural Network Learning Algorithm.
Proceedings of Fourth International Conference on Soft Computing for Problem Solving, 2014
Proceedings of the 2014 International Conference on Information Technology, 2014