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ORCIDSitanshu Sekhar Sahu
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2020 – today
- 2024
[j23]Rupesh Kumar Sinha, Sitanshu Sekhar Sahu:
Multi-level image security using modified Rubik's cube algorithm. Int. J. Inf. Comput. Secur. 23(4): 396-409 (2024)- [j22]Pandit Vivek Kumar Pandey
, Sitanshu Sekhar Sahu, Biswajit Karan, Sudhansu Kumar Mishra:
Parkinson Disease Prediction Using CNN-LSTM Model from Voice Signal. SN Comput. Sci. 5(4): 381 (2024) - [j21]Abhishek Thakur, Ankit Kumar, Sudhansu Kumar Mishra, Subhendu Kumar Behera, Jagannath Sethi, Sitanshu Sekhar Sahu, Subrat Kumar Swain:
Product Length Predictions with Machine Learning: An Integrated Approach Using Extreme Gradient Boosting. SN Comput. Sci. 5(6): 659 (2024) - 2023
- [j20]Amit Kumar Sahoo, Sudhansu Kumar Mishra, Deep Shekhar Acharya, Sitanshu Sekhar Sahu, Sanchita Paul, Vikash Kumar Gupta:
Identification and control of Maglev system using fractional and integer order PID controller. J. Intell. Fuzzy Syst. 44(5): 7277-7289 (2023) - 2022
- [j19]Vikas Pathak, Satyasai Jagannath Nanda, Amit Mahesh Joshi, Sitanshu Sekhar Sahu:
Identification of characteristics frequency and hot-spots in protein sequence of COVID-19 disease. Biomed. Signal Process. Control. 78: 103909 (2022) - [j18]Satyajit Mahapatra, Vivek Raj Gupta, Sitanshu Sekhar Sahu, Ganapati Panda:
Deep Neural Network and Extreme Gradient Boosting Based Hybrid Classifier for Improved Prediction of Protein-Protein Interaction. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 155-165 (2022) - [c6]Garima Thakur, Sitanshu Sekhar Sahu, Ying Xie, Sumit Chakravarty:
Classification of Heart Sound using Tunable Q Wavelet Transform and Machine Learning. IEEE Big Data 2022: 2800-2803 - 2021
- [j17]Satyajit Mahapatra, Sitanshu Sekhar Sahu:
Improved prediction of protein-protein interaction using a hybrid of functional-link Siamese neural network and gradient boosting machines. Briefings Bioinform. 22(6) (2021) - [j16]Biswajit Karan, Sitanshu Sekhar Sahu, Juan Rafael Orozco-Arroyave, Kartik Mahto:
Non-negative matrix factorization-based time-frequency feature extraction of voice signal for Parkinson's disease prediction. Comput. Speech Lang. 69: 101216 (2021) - [j15]Vikas Pathak, Satyasai Jagannath Nanda, Amit Mahesh Joshi, Sitanshu Sekhar Sahu:
FPGA implementation of high-speed tunable IIR band pass notch filter for identification of hot-spots in protein. Int. J. Circuit Theory Appl. 49(11): 3748-3765 (2021) - [c5]Vikas Pathak, Satyasai Jagannath Nanda, Amit Mahesh Joshi, Sitanshu Sekhar Sahu:
FPGA Implementation of High Speed Anti-notch Lattice filter for Exon Region Identification in Eukaryotic Genes. ISVLSI 2021: 418-421 - 2020
- [j14]Biswajit Karan, Sitanshu Sekhar Sahu, Juan Rafael Orozco-Arroyave, Kartik Mahto:
Hilbert spectrum analysis for automatic detection and evaluation of Parkinson's speech. Biomed. Signal Process. Control. 61: 102018 (2020) - [j13]Biswajit Karan, Sitanshu Sekhar Sahu, Juan Rafael Orozco-Arroyave, Kartik Mahto:
Hilbert spectrum analysis for automatic detection and evaluation of Parkinson's speech. Biomed. Signal Process. Control. 61: 102050 (2020) - [j12]Vikas Pathak, Satyasai Jagannath Nanda, Amit Mahesh Joshi, Sitanshu Sekhar Sahu:
VLSI implementation of anti-notch lattice structure for identification of exon regions in Eukaryotic genes. IET Comput. Digit. Tech. 14(5): 217-229 (2020) - [j11]Vikas Pathak, Satyasai Jagannath Nanda, Amit Mahesh Joshi, Sitanshu Sekhar Sahu:
Hardware implementation of infinite impulse response anti-notch filter for exon region identification in eukaryotic genes. Int. J. Circuit Theory Appl. 48(12): 2242-2256 (2020)
2010 – 2019
- 2019
- [j10]Ram Chandra Barik, Suvamoy Changder, Sitanshu Sekhar Sahu:
A New Bi-Level Encoding and Decoding Scheme for Pixel Expansion Based Visual Cryptography. Int. J. Rough Sets Data Anal. 6(1): 18-42 (2019) - [j9]Rupesh Kumar Sinha, Sitanshu Sekhar Sahu:
Adaptive firefly algorithm based optimized key generation for image security. J. Intell. Fuzzy Syst. 36(5): 4437-4447 (2019) - [j8]Navneet Nayan, Sitanshu Sekhar Sahu, Sanjeet Kumar:
Detecting anomalous crowd behavior using correlation analysis of optical flow. Signal Image Video Process. 13(6): 1233-1241 (2019) - [c4]Biswajit Karan, Satyajit Mahapatra, Sitanshu Sekhar Sahu:
Prediction of Protein Interactions in Rice and Blast Fungus Using Machine Learning. ICIT 2019: 33-36 - [c3]Anu Sri, Sitanshu Sekhar Sahu:
Improved fractal-SPIHT hybrid image compression algorithm. ICCCNT 2019: 1-4 - 2018
- [j7]Ram Chandra Barik, Sitanshu Sekhar Sahu, Suvamoy Changder:
A novel smooth texture-based visual cryptography approach for secure communication. Int. J. Electron. Secur. Digit. Forensics 10(2): 109-137 (2018) - [j6]Rupesh Kumar Sinha, Sitanshu Sekhar Sahu:
Secure image encryption based on improved bat optimized piecewise linear chaotic map through integrated permutation-confusion and double diffusion. J. Intell. Fuzzy Syst. 35(2): 1567-1578 (2018) - 2017
- [j5]Chandan Pandey, Rokkam Sandeep, Aikansh Priyam, Satyajit Mahapatra, Sitanshu Sekhar Sahu:
Predicting protein-RNA interaction using sequence derived features and machine learning approach. Int. J. Data Min. Bioinform. 19(3): 270-282 (2017) - 2016
- [j4]Manish Kumar, Sudhansu Kumar Mishra, Sitanshu Sekhar Sahu:
Cat Swarm Optimization Based Functional Link Artificial Neural Network Filter for Gaussian Noise Removal from Computed Tomography Images. Appl. Comput. Intell. Soft Comput. 2016: 6304915:1-6304915:6 (2016) - 2011
- [j3]Sitanshu Sekhar Sahu, Ganapati Panda:
Identification of Protein-Coding Regions in DNA Sequences Using A Time-Frequency Filtering Approach. Genom. Proteom. Bioinform. 9(1-2): 45-55 (2011) - [j2]Sitanshu Sekhar Sahu, Ganapati Panda:
Efficient Localization of Hot Spots in Proteins Using a Novel S-Transform Based Filtering Approach. IEEE ACM Trans. Comput. Biol. Bioinform. 8(5): 1235-1246 (2011) - 2010
- [j1]Sitanshu Sekhar Sahu, Ganapati Panda:
A novel feature representation method based on Chou's pseudo amino acid composition for protein structural class prediction. Comput. Biol. Chem. 34(5-6): 320-327 (2010)
2000 – 2009
- 2009
- [c2]Sitanshu Sekhar Sahu, Ganapati Panda:
A new approach for identification of hot spots in proteins using S-Transform filtering. GENSiPS 2009: 1-4 - [c1]Sitanshu Sekhar Sahu, Ganapati Panda, Satyasai Jagannath Nanda:
Improved Protein Structural Class Prediction using Genetic Algorithm and Artificial Immune System. NaBIC 2009: 731-735
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