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khinthandarkyaw98/README.md
From: 13 February 2024 - To: 27 January 2025

Total Time: 895 hrs 50 mins

Python           678 hrs 52 mins >>>>>>>>>>>>>>>>>>>------   75.78 %
Java             87 hrs 48 mins  >>-----------------------   09.80 %
Other            26 hrs 26 mins  >------------------------   02.95 %
Markdown         20 hrs 11 mins  >------------------------   02.25 %
Bash             14 hrs 56 mins  -------------------------   01.67 %
JSON             13 hrs 9 mins   -------------------------   01.47 %
Text             12 hrs 43 mins  -------------------------   01.42 %
TypeScript       9 hrs           -------------------------   01.01 %
JavaScript       7 hrs 51 mins   -------------------------   00.88 %
CSS              5 hrs 58 mins   -------------------------   00.67 %
Git Config       5 hrs 10 mins   -------------------------   00.58 %
CSV              5 hrs 3 mins    -------------------------   00.56 %
HTML             3 hrs 36 mins   -------------------------   00.40 %
YAML             2 hrs 21 mins   -------------------------   00.26 %
PostScript       49 mins         -------------------------   00.09 %
GitIgnore file   18 mins         -------------------------   00.04 %
Docker           17 mins         -------------------------   00.03 %
MATLAB           13 mins         -------------------------   00.03 %
TSConfig         11 mins         -------------------------   00.02 %
GraphQL          8 mins          -------------------------   00.02 %

Pinned Loading

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    Neural Network Based Optimization of Transmit Beamforming and RIS Coefficients Using Channel Covariances in MISO Downlink

    Python 1 1

  2. BF-RIS-Channel-Covariance-DeepLearning BF-RIS-Channel-Covariance-DeepLearning Public

    Optimization of Transmit Beamforming based on Unsupervised Learning With Channel Covariances for MISO Downlink Assisted by Reconfigurable Intelligent Surfaces

    Python 10 2

  3. Optimizing-UAV-trajectory-for-maximum-data-rate-via-Q-Learning Optimizing-UAV-trajectory-for-maximum-data-rate-via-Q-Learning Public

    During our participation in the Internship Exchange Program, my friend and I collaborated with the guidance of our esteemed supervisor from NTHU.

    Python 33 2

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