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 | 241 | 2010 |
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 | 131 | 2020 |
An improved S-transform for time-frequency analysis SS Sahu, G Panda, NV George 2009 IEEE International Advance Computing Conference, 315-319, 2009 | 72 | 2009 |
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 | 68 | 2019 |
Soil moisture prediction using machine learning S Prakash, A Sharma, SS Sahu 2018 Second International Conference on Inventive Communication and …, 2018 | 68 | 2018 |
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 | 68 | 2011 |
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 | 65 | 2016 |
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 | 53 | 2014 |
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 | 49 | 2021 |
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 | 47 | 2020 |
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 | 43 | 2010 |
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 | 35 | 2021 |
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 | 32 | 2021 |
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 | 31 | 2009 |
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 (1), 6304915, 2016 | 28 | 2016 |
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 | 23 | 2018 |
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 | 20 | 2019 |
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 | 19 | 2014 |
Stacked auto-encoder based Time-frequency features of Speech signal for Parkinson disease prediction B Karan, SS Sahu, K Mahto 2020 International Conference on Artificial Intelligence and Signal …, 2020 | 17 | 2020 |
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 | 17 | 2018 |