A novel hybrid model using teaching–learning-based optimization and a support vector machine for commodity futures index forecasting SP Das, S Padhy International Journal of Machine Learning and Cybernetics 9 (1), 97-111, 2018 | 153 | 2018 |
Support vector machines for prediction of futures prices in Indian stock market SP Das, S Padhy International Journal of Computer Applications 41 (3), 2012 | 113 | 2012 |
A new hybrid parametric and machine learning model with homogeneity hint for European-style index option pricing SP Das, S Padhy Neural Computing and Applications 28, 4061-4077, 2017 | 43 | 2017 |
Machine learning algorithms for industrial applications SK Das, SP Das, N Dey, AE Hassanien Springer, 2021 | 39 | 2021 |
Unsupervised extreme learning machine and support vector regression hybrid model for predicting energy commodity futures index SP Das, S Padhy Memetic Computing 9, 333-346, 2017 | 31 | 2017 |
Novel hybrid SVM-TLBO forecasting model incorporating dimensionality reduction techniques SP Das, NS Achary, S Padhy Applied Intelligence 45, 1148-1165, 2016 | 25 | 2016 |
A comparative analysis of SVM and ELM classification on software reliability prediction model SK Rath, M Sahu, SP Das, SK Bisoy, M Sain Electronics 11 (17), 2707, 2022 | 20 | 2022 |
Federated reinforcement learning based intrusion detection system using dynamic attention mechanism S Vadigi, K Sethi, D Mohanty, SP Das, P Bera Journal of Information Security and Applications 78, 103608, 2023 | 14 | 2023 |
Hybrid software reliability prediction model using feature selection and support vector classifier SK Rath, M Sahu, SP Das, SK Mohapatra 2022 international conference on emerging smart computing and informatics …, 2022 | 13 | 2022 |
Mukherjee S Das, R Das, A Granados Pentapartitioned Neutrosophic QIdeals of Q-Algebra, Neutrosophic Setsand …, 2021 | 8 | 2021 |
Therapeutic management of ascites in GSD female dog A Kumar, S Das, DN Mohanty International Journal of Science, Environment and Technology 5 (2), 654-657, 2016 | 8 | 2016 |
Role of research and development in Indian automobile industry S Das, P Das Asian-African Journal of Economics and Econometrics 12 (1), 79-87, 2012 | 8 | 2012 |
Survey on machine learning techniques for software reliability accuracy prediction SK Rath, M Sahu, SP Das, J Pradhan International conference on metaheuristics in software engineering and its …, 2022 | 6 | 2022 |
Micromechanics based modelling of deformation behaviour of grain refined rheocast Al–7Si–0.3 Mg alloy P Das, ST Islam, S Das Materials Science and Technology 32 (9), 898-914, 2016 | 6 | 2016 |
Game theory based optimal decision-making system SK Das, AN Das, HK Sinha, SP Das, S Nayak Intelligent and Cloud Computing: Proceedings of ICICC 2019, Volume 1, 761-769, 2020 | 5 | 2020 |
An Efficient Data Mining Technique for an Intrusion Detection System in Network SK Das, S Samal, P Ranjan, SP Das Constraint Decision-Making Systems in Engineering, 1-17, 2023 | 4 | 2023 |
An improved software reliability prediction model by using feature selection and extreme learning machine SK Rath, M Sahu, SP Das, J Pradhan International conference on metaheuristics in software engineering and its …, 2022 | 4 | 2022 |
Improved short-term electricity load forecasting using extreme learning machines SP Das, V Laharika, NS Achray 2017 International Conference on Big Data Analytics and Computational …, 2017 | 4 | 2017 |
Support Vector Machines for Odiya Handwritten Numeral Recognition. RR Das, SS Das, SP Das International Journal of Advanced Research in Computer Science 4 (9), 2013 | 4 | 2013 |
Applications of machine learning in industrial reliability model SK Rath, MK Sahu, SP Das Handbook of Research on Applications of AI, Digital Twin, and Internet of …, 2023 | 3 | 2023 |