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Python code for the short links model and the RNN based network for rainfall estimation from smart city's E-band links, The network is based on PyTorch framework.

Python 54.92% Jupyter Notebook 45.08%

rain-estimation-from-smart-citys-eband-links's Introduction

  • ๐Ÿ‘‹ Hi, my name is Joshua Shay Kricheli
  • ๐Ÿ‡บ๐Ÿ‡ธ I am in my Computer Science Doctoral Studies at Arizona State University (ASU), USA
  • ๐Ÿ”Ž I also serve as a Research Associate at the V2 Lab directed by Professor Paulo Shakarian focusing on Neuro-Symbolic AI
  • ๐ŸŽ“ Before that I graduated from my M.Sc. in Computer Science and B.Sc. in Mechatronics Engineering, both from Ben Gurion University of the Negev (BGU), Israel
  • ๐Ÿ‘€ Iโ€™m interested in Artificial Intelligence, Robotics, Modern Control Theory, Game Theory, Data Science and Machine Learning
  • ๐Ÿ‡ฎ๐Ÿ‡ฑ I'm based in Phoenix, Arizona, USA
  • ๐Ÿ‘ฅ Iโ€™m looking to collaborate on various AI-ML-related problems, both from a formal and algorithmic approach
  • ๐Ÿ”— More information about me is available at krichelj.github.io
  • โ˜€๏ธ ASU organizational email: [email protected]
  • ๐Ÿซ BGU organizational email: [email protected]
  • ๐Ÿ“ฎ Personal email: [email protected]

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