Sitanshu Sekhar Sahu
Orcid: 0000-0003-1236-2255
According to our database1,
Sitanshu Sekhar Sahu
authored at least 28 papers
between 2009 and 2024.
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Bibliography
2024
Product Length Predictions with Machine Learning: An Integrated Approach Using Extreme Gradient Boosting.
SN Comput. Sci., August, 2024
SN Comput. Sci., April, 2024
Int. J. Inf. Comput. Secur., 2024
2023
Identification and control of Maglev system using fractional and integer order PID controller.
J. Intell. Fuzzy Syst., 2023
2022
Deep Neural Network and Extreme Gradient Boosting Based Hybrid Classifier for Improved Prediction of Protein-Protein Interaction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Identification of characteristics frequency and hot-spots in protein sequence of COVID-19 disease.
Biomed. Signal Process. Control., 2022
Classification of Heart Sound using Tunable Q Wavelet Transform and Machine Learning.
Proceedings of the IEEE International Conference on Big Data, 2022
2021
FPGA implementation of high-speed tunable IIR band pass notch filter for identification of hot-spots in protein.
Int. J. Circuit Theory Appl., 2021
Non-negative matrix factorization-based time-frequency feature extraction of voice signal for Parkinson's disease prediction.
Comput. Speech Lang., 2021
Improved prediction of protein-protein interaction using a hybrid of functional-link Siamese neural network and gradient boosting machines.
Briefings Bioinform., 2021
FPGA Implementation of High Speed Anti-notch Lattice filter for Exon Region Identification in Eukaryotic Genes.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2021
2020
Hardware implementation of infinite impulse response anti-notch filter for exon region identification in eukaryotic genes.
Int. J. Circuit Theory Appl., 2020
VLSI implementation of anti-notch lattice structure for identification of exon regions in Eukaryotic genes.
IET Comput. Digit. Tech., 2020
Hilbert spectrum analysis for automatic detection and evaluation of Parkinson's speech.
Biomed. Signal Process. Control., 2020
2019
Signal Image Video Process., 2019
J. Intell. Fuzzy Syst., 2019
A New Bi-Level Encoding and Decoding Scheme for Pixel Expansion Based Visual Cryptography.
Int. J. Rough Sets Data Anal., 2019
Proceedings of the 10th International Conference on Computing, 2019
Proceedings of the 2019 International Conference on Information Technology (ICIT), 2019
2018
Secure image encryption based on improved bat optimized piecewise linear chaotic map through integrated permutation-confusion and double diffusion.
J. Intell. Fuzzy Syst., 2018
Int. J. Electron. Secur. Digit. Forensics, 2018
2017
Predicting protein-RNA interaction using sequence derived features and machine learning approach.
Int. J. Data Min. Bioinform., 2017
2016
Cat Swarm Optimization Based Functional Link Artificial Neural Network Filter for Gaussian Noise Removal from Computed Tomography Images.
Appl. Comput. Intell. Soft Comput., 2016
2011
Efficient Localization of Hot Spots in Proteins Using a Novel S-Transform Based Filtering Approach.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011
Identification of Protein-Coding Regions in DNA Sequences Using A Time-Frequency Filtering Approach.
Genom. Proteom. Bioinform., 2011
2010
A novel feature representation method based on Chou's pseudo amino acid composition for protein structural class prediction.
Comput. Biol. Chem., 2010
2009
Improved Protein Structural Class Prediction using Genetic Algorithm and Artificial Immune System.
Proceedings of the World Congress on Nature & Biologically Inspired Computing, 2009
A new approach for identification of hot spots in proteins using S-Transform filtering.
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009