Shom Prasad Das - researchr alias

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Viewing Publication 1 - 8 from 8

2026

Software reliability prediction using ensemble learning and SMOTE on features selected by jaya optimizationSuneel Kumar Rath, Madhusmita Sahu, Sukant Kishoro Bisoy, Prabodh Kumar Sahoo, Shom Prasad Das. isse, 22(1):6, June 2026. [doi]

2025

A novel hybrid JAYA optimization algorithm and extreme learning machine classifier (JAYA-ELM) for software reliability predictionSuneel Kumar Rath, Madhusmita Sahu, Shom Prasad Das, Sukant Kishoro Bisoy. idt, 19(1):132-149, 2025. [doi]

2024

Software Reliability Prediction Using Ensemble Learning on Selected Features in Imbalanced and Balanced Datasets: A ReviewSuneel Kumar Rath, Madhusmita Sahu, Shom Prasad Das, Junali Jasmine Jena, Chitralekha Jena, Baseem Khan, Ahmed Ali, Pitshou Bokoro. csse, 48(6):1513-1536, 2024. [doi]

2023

Federated reinforcement learning based intrusion detection system using dynamic attention mechanismSreekanth Vadigi, Kamalakanta Sethi, Dinesh Mohanty, Shom Prasad Das, Padmalochan Bera. istr, 78:103608, November 2023. [doi]

2018

A novel hybrid model using teaching-learning-based optimization and a support vector machine for commodity futures index forecastingShom Prasad Das, Sudarsan Padhy. mlc, 9(1):97-111, 2018. [doi]

2017

Unsupervised extreme learning machine and support vector regression hybrid model for predicting energy commodity futures indexShom Prasad Das, Sudarsan Padhy. memetic, 9(4):333-346, 2017. [doi]

A new hybrid parametric and machine learning model with homogeneity hint for European-style index option pricingShom Prasad Das, Sudarsan Padhy. nca, 28(12):4061-4077, 2017. [doi]

2016

Novel hybrid SVM-TLBO forecasting model incorporating dimensionality reduction techniquesShom Prasad Das, N. Sangita Achary, Sudarsan Padhy. apin, 45(4):1148-1165, 2016. [doi]

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