All Stories

  1. A novel approach to generate distractors for Multiple Choice Questions

    Article • Expert Systems with Applications, September 2023, Elsevier

    Archana Praveen Kumar

  2. A Novel Framework for the Generation of Multiple Choice Question Stems Using Semantic and Machine-Learning Techniques

    Article • International Journal of Artificial Intelligence in Education, March 2023, Springer Science + Business Media

    Archana Praveen Kumar

  3. Pattern-Based Syntactic Simplification of Compound and Complex Sentences

    Article • IEEE Access, January 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Archana Praveen Kumar

  4. A Neural Attention Model for Automatic Question Generation Using Dual Encoders

    Article • November 2021, Springer Science + Business Media

    Archana Praveen Kumar

  5. Analysis and prediction of smart data using machine learning

    Article • January 2020, American Institute of Physics

    Radhika Sreedharan, Archana Praveen Kumar

  6. A Statistical approach to evaluate the efficiency and effectiveness of the Machine Learning algorithms analyzing Sentiments

    Article • August 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Archana Praveen Kumar

  7. A bottom up procedure for text line segmentation of latin script

    Article • September 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Archana Praveen Kumar

  8. Construction and evaluation of metaontology using databases

    Article • December 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Archana Praveen Kumar

  9. Document Library System Using RDF Based Inferences

    Article • January 2013, Springer Science + Business Media

    Archana Praveen Kumar

  10. Architecture for Raw Data Processing at Sensor Nodes in Semantic Wireless Sensor Networks

    Article • International Journal of Computer Applications, October 2012, Foundation of Computer Science

    Archana Praveen Kumar