| Gene selection and enrichment for microarray data—a comparative network based approach DSK Nayak, S Mahapatra, T Swarnkar Progress in Advanced Computing and Intelligent Engineering: Proceedings of …, 2018 | 17 | 2018 |
| Interpretation of optimized hyper parameters in associative rule learning using eclat and apriori D Mohapatra, J Tripathy, KK Mohanty, DSK Nayak 2021 5th International Conference on Computing Methodologies and …, 2021 | 14 | 2021 |
| En-MinWhale: An ensemble approach based on MRMR and Whale optimization for Cancer diagnosis A Panigrahi, A Pati, B Sahu, MN Das, DSK Nayak, G Sahoo, S Kant IEEE Access, 2023 | 9 | 2023 |
| Quality Control Pipeline for Next Generation Sequencing Data Analysis DSK Nayak, J Das, T Swarnkar Intelligent and Cloud Computing: Proceedings of ICICC 2021, 215-225, 2022 | 9 | 2022 |
| A Comparative Study using Next Generation Sequencing Data and Machine Learning Approach for Crohn's Disease (CD) Identification DSK Nayak, SP Routray, S Sahooo, SK Sahoo, T Swarnkar 2022 International Conference on Machine Learning, Computer Systems and …, 2022 | 8 | 2022 |
| Predicting pediatric appendicitis using ensemble learning techniques A Pati, A Panigrahi, DSK Nayak, G Sahoo, D Singh Procedia Computer Science 218, 1166-1175, 2023 | 6 | 2023 |
| ReCuRandom: A hybrid machine learning model for significant gene identification DSK Nayak, A Pati, A Panigrahi, S Sahoo, T Swarnkar AIP Conference Proceedings 2819 (1), 2023 | 5 | 2023 |
| Deep learning approaches for high dimension cancer microarray data feature prediction: A review DSK Nayak, S Mohapatra, D Al-Dabass, T Swarnkar Computational Intelligence in Cancer Diagnosis, 13-41, 2023 | 5 | 2023 |
| IoT Ecosystems Enable Smart Communication Solutions: A Case Study DSK Nayak, JT ShreerudraPratikb Network 3 (2), 6, 2022 | 4 | 2022 |
| Radiological Differential Diagnoses Based on Cardiovascular and Thoracic Imaging Patterns: Perspectives of Four Large Language Models PK Sarangi, A Irodi, S Panda, DSK Nayak, H Mondal Indian Journal of Radiology and Imaging 34 (02), 269-275, 2024 | 2 | 2024 |
| A Comparative Analysis of Machine Learning Models for Colon Cancer Classification RR Swain, DSK Nayak, T Swarnkar 2023 International Conference in Advances in Power, Signal, and Information …, 2023 | 2 | 2023 |
| A neural network framework for predicting Adenocarcinoma cancer using high-throughput gene expression data S Mohanty, DSK Nayak, T Swarnkar AIP Conference Proceedings 2819 (1), 2023 | 2 | 2023 |
| Deep Learning-based Gated Recurrent Unit Approach to Stock Market Forecasting: An Analysis of Intel's Stock Data N Tripathy, IK Friday, D Rath, DSK Nayak, S Nayak International Journal of Smart Sensor and Adhoc Network 4 (1), 2023 | 2 | 2023 |
| IRGM: An Integrated RNN-GRU Model for Stock Market Price Prediction IK Friday, JF Godslove, DSK Nayak, S Prusty 2022 International Conference on Machine Learning, Computer Systems and …, 2022 | 1 | 2022 |
| Weighted Bayesian Belief Network for diabetics: a predictive model S Kharya, S Soni, A Pati, A Panigrahi, J Giri, H Qin, S Mallik, DSK Nayak, ... Frontiers in Artificial Intelligence 7, 1357121, 2024 | | 2024 |
| Prevalence of multidrug-resistant Klebsiella pneumoniae in urinary tract infections: A retrospective observational study in eastern India S Sahoo, JN Mohanty, SP Routray, A Sarangi, DSK Nayak, S Shah, J Das, ... Microbes and Infectious Diseases, 2024 | | 2024 |
| aiGeneR 1.0: An Artificial Intelligence Technique for the Revelation of Informative and Antibiotic Resistant Genes in Escherichia coli DSK Nayak, S Mahapatra, SP Routray, S Sahoo, SK Sahoo, MM Fouda, ... Frontiers in Bioscience-Landmark 29 (2), 82, 2024 | | 2024 |
| Deep Learning Techniques for Identification of Pneumonia: A CNN Approach R Das, DSK Nayak, CP Rout, L Jena, T Swarnkar 2024 International Conference on Advancements in Smart, Secure and …, 2024 | | 2024 |
| ResNet-50: The Deep Networks for Automated Breast Cancer Classification using MR Images T Das, DSK Nayak, A Kar, L Jena, T Swarnkar 2024 International Conference on Advancements in Smart, Secure and …, 2024 | | 2024 |
| Web-Based Tools Validation for Antimicrobial Resistance Prediction: An Empirical Comparative Analysis SP Routray, S Sahoo, DSK Nayak, S Shah, T Swarnkar SN Computer Science 5 (1), 147, 2024 | | 2024 |
Tripti SwarnkarProfessor of Computer Applications, National Institute of Technology (NITRR) Raipur CGVerified email at nitrr.ac.in
