Sandeep Kumar

Employment

Employment history is unavailable.

Education

• Gautam Buddha University Doctor of Philosophy
  2020 - Present
• C-DAC Noida (GGSIPU) Master of Technology
  2018 - 2020
• University of Delhi Bachelor of Technology in Computer Science
  2013 - 2017

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

• ROUGE-SS: A New ROUGE Variant for the Evaluation of Text Summarization
  Recent Advances in Computer Science and Communications 2024 DOI: 10.2174/0126662558304595240528111535
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• Improving ROUGE-1 by 6%: A novel multilingual transformer for abstractive news summarization
  Concurrency and Computation Practice and Experience 2024 DOI: 10.1002/cpe.8199
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• Performance Metrics of T2SAM Model for Abstractive Text Summarization on different Datasets
  2024 15th International Conference on Computing Communication and Networking Technologies Icccnt 2024 2024 DOI: 10.1109/ICCCNT61001.2024.10724501
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• Named entity recognition for natural language understanding using BERT model
  2ND ONLINE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SUSTAINABLE COMPUTING FOR SMART CITIES: AIS2C2 2023 DOI: 10.1063/5.0181535
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• ROUGE-SS: A New ROUGE Variant for Evaluation of Text Summarization
  2023 DOI: 10.22541/au.168984209.92955863/v1
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• A Natural Language Processing System using CWS Pipeline for Extraction of Linguistic Features
  Procedia Computer Science 2023 DOI: 10.1016/j.procs.2023.01.155
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• An abstractive text summarization technique using transformer model with self-attention mechanism
  Neural Computing and Applications 2023 DOI: 10.1007/s00521-023-08687-7
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• Smart Cities Emergence with Artificial Intelligence- Natural Language Processing
  Intelligent Systems for Ioe Based Smart Cities 2023 DOI: 10.2174/9789815124965123010008
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• Classifying Human Gender by Learning the Acoustic Features of Voice Samples
  Neuro Quantology 2022
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• Prediction of Breast and Lung Cancer, Comparative Review and Analysis Using Machine Learning Techniques
  Smart Computing and Self Adaptive Systems 2021 DOI: 10.1201/9781003156123-13
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