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Sitanshu Sekhar Sahu
Sitanshu Sekhar Sahu
Associate Professor, Dept. of Electronics & Communication Engg., Birla Institute of Technology,India
Verified email at bitmesra.ac.in
Title
Cited by
Cited by
Year
A novel feature representation method based on Chou's pseudo amino acid composition for protein structural class prediction
SS Sahu, G Panda
Computational biology and chemistry 34 (5-6), 320-327, 2010
2392010
Parkinson disease prediction using intrinsic mode function based features from speech signal
B Karan, SS Sahu, K Mahto
Biocybernetics and Biomedical Engineering 40 (1), 249-264, 2020
1272020
An improved S-transform for time-frequency analysis
SS Sahu, G Panda, NV George
2009 IEEE International Advance Computing Conference, 315-319, 2009
722009
Identification of protein-coding regions in DNA sequences using a time-frequency filtering approach
SS Sahu, G Panda
Genomics, Proteomics and Bioinformatics 9 (1-2), 45-55, 2011
682011
Plant-mSubP: a computational framework for the prediction of single-and multi-target protein subcellular localization using integrated machine-learning approaches
SS Sahu, CD Loaiza, R Kaundal
AoB PLANTS 12 (3), 2019
652019
Soil moisture prediction using machine learning
S Prakash, A Sharma, SS Sahu
2018 Second International Conference on Inventive Communication and …, 2018
622018
Prediction of Parkinson's disease using speech signal with Extreme Learning Machine
A Agarwal, S Chandrayan, SS Sahu
2016 international conference on electrical, electronics, and optimization …, 2016
612016
Predicting genome-scale Arabidopsis-Pseudomonas syringae interactome using domain and interolog-based approaches
SS Sahu, T Weirick, R Kaundal
BMC bioinformatics 15, 1-8, 2014
532014
Non-negative matrix factorization-based time-frequency feature extraction of voice signal for Parkinson's disease prediction
B Karan, SS Sahu, JR Orozco-Arroyave, K Mahto
Computer Speech & Language 69, 101216, 2021
472021
Hilbert spectrum analysis for automatic detection and evaluation of Parkinson’s speech
B Karan, SS Sahu, JR Orozco-Arroyave, K Mahto
Biomedical Signal Processing and Control 61, 102050, 2020
452020
Efficient localization of hot spots in proteins using a novel S-transform based filtering approach
SS Sahu, G Panda
IEEE/ACM Transactions on computational biology and bioinformatics 8 (5 …, 2010
432010
Deep neural network and extreme gradient boosting based Hybrid classifier for improved prediction of Protein-Protein interaction
S Mahapatra, VR Gupta, SS Sahu, G Panda
IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (1 …, 2021
312021
An improved framework for Parkinson’s disease prediction using Variational Mode Decomposition-Hilbert spectrum of speech signal
B Karan, SS Sahu
Biocybernetics and Biomedical Engineering 41 (2), 717-732, 2021
302021
Time localised band filtering using modified S-transform
NV George, SS Sahu, L Mansinha, KF Tiampo, G Panda
2009 International Conference on Signal Processing Systems, 42-46, 2009
302009
Cat swarm optimization based functional link artificial neural network filter for Gaussian noise removal from computed tomography images
M Kumar, SK Mishra, SS Sahu
Applied Computational Intelligence and Soft Computing 2016, 2016
282016
Detection of pests using color based image segmentation
A Sriwastwa, S Prakash, S Swarit, K Kumari, SS Sahu
2018 Second International Conference on Inventive Communication and …, 2018
232018
LacSubPred: predicting subtypes of Laccases, an important lignin metabolism-related enzyme class, using in silico approaches
T Weirick, SS Sahu, R Mahalingam, R Kaundal
BMC bioinformatics 15, 1-19, 2014
192014
Detecting anomalous crowd behavior using correlation analysis of optical flow
N Nayan, SS Sahu, S Kumar
Signal, Image and Video Processing 13 (6), 1233-1241, 2019
182019
Chaotic image encryption scheme based on modified arnold cat map and henon map
RK Sinha, N San, B Asha, S Prasad, SS Sahu
2018 International Conference on Current Trends towards Converging …, 2018
172018
Identification and characterization of plastid-type proteins from sequence-attributed features using machine learning
R Kaundal, SS Sahu, R Verma, T Weirick
BMC bioinformatics 14, 1-14, 2013
172013
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