Research Publications

Published Research Papers and Preprints

Journal Publications

  1. Yadav, Nidhika (Sep, 2021) [DOI: 10.13140/RG.2.2.13934.95048] AI based Automated Forest Fires handling System for Stopping the Spread of Fires in Forests
  2. Yadav, Nidhika (Aug, 2021) [DOI: 10.13140/RG.2.2.10168.26886] Fuzzy Rough Set Span based Unsupervised Word Sense Disambiguation (ResearchGate.com)
  3. Yadav, Nidhika (July, 2021) [2107.12477] Decision Making Using Rough Set based Spanning Sets for a Decision System (arxiv.org)
  4. Yadav, Nidhika (July, 2021)[2107.12178] Novel Span Measure, Spanning Sets and Applications (arxiv.org)
  5. Yadav, Nidhika (July, 2021) Deep Learning and AI Based Systems to Detect Climate Calamities Before Occurrence and Raising Alarm When Needed (Research Proposal) (DOI: 10.13140/RG.2.2.34807.34728)
  6. Yadav, Nidhika (June, 2021) Computing Fuzzy Rough Set based Similarities with Fuzzy Inference and Its Application to Sentence Similarity Computations (https://arxiv.org/abs/2107.01170)
  7. Yadav, Nidhika (2021), Neighborhood Rough Set based Multi-document Summarization. (https://arxiv.org/abs/2106.07338)
  8. Chatterjee, N. and Yadav, N. (2020). Novel Rough Set based Aggregate Rank-Measure & its Application to Supervised Multi Document Summarization. Available online [https://arxiv.org/abs/2002.03259]
  9. Yadav, N., & Chatterjee, N. (2019). Rough Set based Span and its Application to Extractive Text Summarization. Journal of Intelligent & Fuzzy Systems, 37(3), pp. 4299- 4309. Impact Factor: 1.85
  10. Chatterjee, N., & Yadav, N. (2019). Fuzzy Rough Set-based Sentence Similarity Measure and its Application to Text Summarization. IETE Technical Review, 36(5), pp. 517-525. Impact Factor: 1.8
  11. Yadav, N. and Chatterjee, N. (2018). Fuzzy Rough Set Based Technique for User Specific Information Retrieval: A Case Study on Wikipedia Data. International Journal of Rough Set and Data Analysis (IJRSDA), 5(4), pp. 32-47.

Short Technical Articles

  1. Yadav, Nidhika (Sep, 2021)Macro and Micro Sentiment of an Organization for Job Selection by Candidates and vice-versa (DOI: 10.13140/RG.2.2.20439.39844)
  2. Yadav, Nidhika (Sep, 2021), AI based Robotics -Ethics, Safety and Hackings (DOI:10.13140/RG.2.2.27962.93125)
  3. Yadav, Nidhika (Sep, 2021) AI based Application for Individuals Climate Sensitivity Index Computation (DOI: 10.13140/RG.2.2.35309.51686)
  4. Yadav, Nidhika (Sept, 2021) Local Warming and Its Effect on Global Environment (DOI: 10.13140/RG.2.2.16972.54408 )

Conference Papers         

  1. Yadav, N., & Chatterjee, N. A*-Reduct (2020): A Heuristic Rough Set Based Feature Selection Algorithm and Its Application to Text Summarization. In ICDSMLA, pp. 239-245. Springer, Singapore.
  2. Yadav, N., Aggarwal, T., & Chatterjee, N. (2020). Random Indexing and Centroid Based Technique for Multi Document Summarization. In ICDSMLA 2019, pp. 246-252. Springer, Singapore.
  3. Chatterjee, N., & Yadav, N. (2019). Hybrid Latent Semantic Analysis and Random Indexing Model for Text Summarization. In Information and Communication Technology for Competitive Strategies, pp. 149-156. Springer, Singapore.
  4. Yadav, N., & Chatterjee, N. (2017, July). A novel approach for feature selection using Rough Sets. In International Conference on Computer, Communications and Electronics (Comptelix), pp. 195-199. IEEE.
  5. Yadav, N., & Chatterjee, N. (2016, December). Text Summarization Using Sentiment Analysis for DUC Data. In 2016 International Conference on Information Technology (ICIT), pp. 229-234. IEEE.
  6. Soft Rough Sets based Automated Keyword selection. To be communicated.
  7. Fuzzy Rough Sets and its applications, Advances in Computer Science and Information Technology, 2015.
  8. Combination of Genetic Algorithm with Fuzzy Systems, Advances in Computer Science and Information Technology, 2015.
  9. Text Summarization using Rough Sets, International Conference on Natural Language Processing, 2014.

Published Technical Books

  1. M.Tech Project: Application of Rough Sets
  2. Ph.D. Thesis
  3. M.S. Project: Certain Aspects of Linear Groups over Fields

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Technical Presentations Slides
  1. A Novel Approach for Feature Selection  using Rough Sets
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