Sitanshu Sekhar Sahu

Orcid: 0000-0003-1236-2255

According to our database1, Sitanshu Sekhar Sahu authored at least 26 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Parkinson Disease Prediction Using CNN-LSTM Model from Voice Signal.
SN Comput. Sci., April, 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
Detecting anomalous crowd behavior using correlation analysis of optical flow.
Signal Image Video Process., 2019

Adaptive firefly algorithm based optimized key generation for image security.
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

Improved fractal-SPIHT hybrid image compression algorithm.
Proceedings of the 10th International Conference on Computing, 2019

Prediction of Protein Interactions in Rice and Blast Fungus Using Machine Learning.
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

A novel smooth texture-based visual cryptography approach for secure communication.
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


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