Sitanshu Sekhar Sahu

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Prof. Ganapati Panda (G. Panda)C V Raman Global University-OdishaVerificeret mail på cgu-odisha.ac.in
Biswajit KaranPost-Doctoral Researcher, University of StellenboschVerificeret mail på sun.ac.za
Sudhansu Kumar MishraBirla Institute of Technology, Mesra,RanchiVerificeret mail på bitmesra.ac.in
Kartik mahtoAssistant Professor, ECE department, B.I.T. Mesra, RanchiVerificeret mail på bitmesra.ac.in
Dr. Satyajit MahapatraDepartment of Information and Communication Technology, Manipal Institute of TechnologyVerificeret mail på manipal.edu
Rakesh KaundalAssociate Professor and Director, Bioinformatics; Utah State UniversityVerificeret mail på usu.edu
Dr. Satyasai Jagannath Nanda, Senior...Associate Prof.,Dept. of Electronics & Comm. Engg., Malaviya National Institute of Technology JaipurVerificeret mail på mnit.ac.in
Vikas PathakAssociate Professor of ECE Department, SKIT, JaipurVerificeret mail på skit.ac.in
Amit M Joshi,Associate Professor at MNIT, Jaipur, IndiaVerificeret mail på mnit.ac.in
JUAN RAFAEL OROZCO ARROYAVEFull Professor, GITA Lab, Universidad de Antioquia UdeAVerificeret mail på udea.edu.co
Nithin GeorgeIndian Institute of Technology GandhinagarVerificeret mail på iitgn.ac.in
Tyler WeirickRIKENVerificeret mail på louisville.edu
Dr. Ram Chandra BarikAsst. Prof., C. V. Raman Global University, PhD, NIT DurgapurVerificeret mail på cgu-odisha.ac.in
Lalu MansinhaDept. of Earth Sciences, Western UniversityVerificeret mail på uwo.ca
Dr. Sweta Kumari JhaBIT MesraVerificeret mail på bitmesra.ac.in
Jagannath SethiAsst. Prof., OUTRVerificeret mail på cet.edu.in

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Sitanshu Sekhar Sahu

Associate Professor, Dept. of Electronics & Communication Engg., Birla Institute of Technology,India

Verificeret mail på bitmesra.ac.in

Signal & Image Processing Speech Processing Bioinformatics Machine Learning


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
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	242	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	151	2020
Soil moisture prediction using machine learning S Prakash, A Sharma, SS Sahu 2018 Second International Conference on Inventive Communication and …, 2018	93	2018
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	84	2019
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	77	2016
An improved S-transform for time-frequency analysis SS Sahu, G Panda, NV George 2009 IEEE International Advance Computing Conference, 315-319, 2009	76	2009
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	72	2011
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	61	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	56	2020
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	55	2014
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
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	42	2021
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	38	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	33	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	26	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	24	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	23	2019
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	21	2020
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	21	2014
Detection of Parkinson disease using variational mode decomposition of speech signal B Karan, K Mahto, SS Sahu 2018 International Conference on Communication and Signal Processing (ICCSP …, 2018	18	2018

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