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research-paper-implementation

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This code is the implementation of the research paper: Statistical change detection for multi-dimensional data. Xiuyao Song, Mingxi Wu, Christopher Jermaine, and Sanjay Ranka. 2007 In Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining. Association for Computing Machinery,New York,NY,USA,667–676.

  • Updated Jun 8, 2024
  • Jupyter Notebook

This code is the implementation of the research paper: New insights on integer programming models for the kidney exchange problem. Miguel Constantino, Xenia Klimentova, Ana Viana, and Abdur Rais (Constantino et al). European Journal of Operational Research, 231(1):57–68, 2013. Integer programs in the paper are solved using glpk solver in python.

  • Updated Jun 7, 2024
  • Jupyter Notebook

This repository belongs to the paper "Reliability and Latency Analysis for Wireless Communication Systems with a Secret-Key Budget" (K.-L. Besser, R. F. Schaefer, H. V. Poor, IEEE Transactions on Communications, vol. 72, no. 2, pp. 1033-1044, Feb. 2024).

  • Updated Feb 16, 2024
  • Python

This repository is accompanying the paper "Frequency Diversity for Ultra-Reliable and Secure Communications in Sub-THz Two-Ray Scenarios" (Karl-L. Besser, Eduard Jorswieck, and Justin Coon, IEEE ICC 2023. doi:10.1109/ICC45041.2023.10279098).

  • Updated Oct 31, 2023
  • Python

This repository is accompanying the paper "Multi-User Frequency Assignment for Ultra-Reliable mmWave Two-Ray Channels" (WiOpt 2022, DOI:10.23919/WiOpt56218.2022.9930571)

  • Updated Nov 15, 2022
  • Python

This repository is accompanying the papers "Artificial Fast Fading from Reconfigurable Surfaces Enables Ultra-Reliable Communications" (SPAWC 2021), "RIS-Assisted Statistical Channel Shaping for Ultra-High Reliability" (WSA 2021), and "Reconfigurable Intelligent Surface Phase Hopping for Ultra-Reliable Communications" (TWC, DOI:10.1109/TWC.2022.…

  • Updated Nov 15, 2022
  • Python

Data in the social networking services is increasing day by day. So, there is heavy requirement to study the highly dynamic behavior of the users towards these services. The task here is to estimate the comment count that a post is expected to receive in next few(H) hours. Data has been scraped from one of the most popular social networking site…

  • Updated Aug 8, 2022
  • Jupyter Notebook

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