A new approach for identification of hot spots in proteins using S-Transform filtering. - Sitanshu Sekhar Sahu; Ganapati Panda (GENSiPS, 2009)

Improved Protein Structural Class Prediction using Genetic Algorithm and Artificial Immune System. - Sitanshu Sekhar Sahu; Ganapati Panda; Satyasai Jagannath Nanda (NaBIC, 2009)

A novel feature representation method based on Chou's pseudo amino acid composition for protein structural class prediction. - Sitanshu Sekhar Sahu; Ganapati Panda (Comput. Biol. Chem., 2010)

Identification of Protein-Coding Regions in DNA Sequences Using A Time-Frequency Filtering Approach. - Sitanshu Sekhar Sahu; Ganapati Panda (Genom. Proteom. Bioinform., 2011)

Efficient Localization of Hot Spots in Proteins Using a Novel S-Transform Based Filtering Approach. - Sitanshu Sekhar Sahu; Ganapati Panda (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Cat Swarm Optimization Based Functional Link Artificial Neural Network Filter for Gaussian Noise Removal from Computed Tomography Images. - Manish Kumar 009; Sudhansu Kumar Mishra; Sitanshu Sekhar Sahu (Appl. Comput. Intell. Soft Comput., 2016)

Predicting protein-RNA interaction using sequence derived features and machine learning approach. - Chandan Pandey; Rokkam Sandeep; Aikansh Priyam; Satyajit Mahapatra; Sitanshu Sekhar Sahu (Int. J. Data Min. Bioinform., 2017)

A novel smooth texture-based visual cryptography approach for secure communication. - Ram Chandra Barik; Sitanshu Sekhar Sahu; Suvamoy Changder (Int. J. Electron. Secur. Digit. Forensics, 2018)

Secure image encryption based on improved bat optimized piecewise linear chaotic map through integrated permutation-confusion and double diffusion. - Rupesh Kumar Sinha; Sitanshu Sekhar Sahu (J. Intell. Fuzzy Syst., 2018)

Prediction of Protein Interactions in Rice and Blast Fungus Using Machine Learning. - Biswajit Karan; Satyajit Mahapatra; Sitanshu Sekhar Sahu (ICIT, 2019)

Improved fractal-SPIHT hybrid image compression algorithm. - Anu Sri; Sitanshu Sekhar Sahu (ICCCNT, 2019)

A New Bi-Level Encoding and Decoding Scheme for Pixel Expansion Based Visual Cryptography. - Ram Chandra Barik; Suvamoy Changder; Sitanshu Sekhar Sahu (Int. J. Rough Sets Data Anal., 2019)

Adaptive firefly algorithm based optimized key generation for image security. - Rupesh Kumar Sinha; Sitanshu Sekhar Sahu (J. Intell. Fuzzy Syst., 2019)

Detecting anomalous crowd behavior using correlation analysis of optical flow. - Navneet Nayan; Sitanshu Sekhar Sahu; Sanjeet Kumar (Signal Image Video Process., 2019)

Hilbert spectrum analysis for automatic detection and evaluation of Parkinson's speech. - Biswajit Karan; Sitanshu Sekhar Sahu; Juan Rafael Orozco-Arroyave; Kartik Mahto (Biomed. Signal Process. Control., 2020)

VLSI implementation of anti-notch lattice structure for identification of exon regions in Eukaryotic genes. - Vikas Pathak; Satyasai Jagannath Nanda; Amit Mahesh Joshi; Sitanshu Sekhar Sahu (IET Comput. Digit. Tech., 2020)

Hardware implementation of infinite impulse response anti-notch filter for exon region identification in eukaryotic genes. - Vikas Pathak; Satyasai Jagannath Nanda; Amit Mahesh Joshi; Sitanshu Sekhar Sahu (Int. J. Circuit Theory Appl., 2020)

FPGA Implementation of High Speed Anti-notch Lattice filter for Exon Region Identification in Eukaryotic Genes. - Vikas Pathak; Satyasai Jagannath Nanda; Amit Mahesh Joshi; Sitanshu Sekhar Sahu (ISVLSI, 2021)

Improved prediction of protein-protein interaction using a hybrid of functional-link Siamese neural network and gradient boosting machines. - Satyajit Mahapatra; Sitanshu Sekhar Sahu (Briefings Bioinform., 2021)

Non-negative matrix factorization-based time-frequency feature extraction of voice signal for Parkinson's disease prediction. - Biswajit Karan; Sitanshu Sekhar Sahu; Juan Rafael Orozco-Arroyave; Kartik Mahto (Comput. Speech Lang., 2021)

FPGA implementation of high-speed tunable IIR band pass notch filter for identification of hot-spots in protein. - Vikas Pathak; Satyasai Jagannath Nanda; Amit Mahesh Joshi; Sitanshu Sekhar Sahu (Int. J. Circuit Theory Appl., 2021)

Classification of Heart Sound using Tunable Q Wavelet Transform and Machine Learning. - Garima Thakur; Sitanshu Sekhar Sahu; Ying Xie 001; Sumit Chakravarty (IEEE Big Data, 2022)

Identification of characteristics frequency and hot-spots in protein sequence of COVID-19 disease. - Vikas Pathak; Satyasai Jagannath Nanda; Amit Mahesh Joshi; Sitanshu Sekhar Sahu (Biomed. Signal Process. Control., 2022)

Deep Neural Network and Extreme Gradient Boosting Based Hybrid Classifier for Improved Prediction of Protein-Protein Interaction. - Satyajit Mahapatra; Vivek Raj Gupta; Sitanshu Sekhar Sahu; Ganapati Panda (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Multi-level image security using modified Rubik's cube algorithm. - Rupesh Kumar Sinha; Sitanshu Sekhar Sahu (Int. J. Inf. Comput. Secur., 2024)

Parkinson Disease Prediction Using CNN-LSTM Model from Voice Signal. - Pandit Vivek Kumar Pandey; Sitanshu Sekhar Sahu; Biswajit Karan; Sudhansu Kumar Mishra (SN Comput. Sci., 2024)

Product Length Predictions with Machine Learning: An Integrated Approach Using Extreme Gradient Boosting. - Abhishek Thakur; Ankit Kumar; Sudhansu Kumar Mishra; Subhendu Kumar Behera; Jagannath Sethi; Sitanshu Sekhar Sahu; Subrat Kumar Swain (SN Comput. Sci., 2024)

Parkinson's Disease Detection Using Wavelet Packet Absolute Amplitude Deviation (WPAAD) from voice signals. - Pandit Vivek Kumar Pandey; Sitanshu Sekhar Sahu; Biswajit Karan; Juan Rafael Orozco-Arroyave (ICASSP Workshops, 2025)