From: 14 February 2024 - To: 17 October 2025
Total Time: 953 hrs 9 mins
Python 723 hrs 47 mins >>>>>>>>>>>>>>>>>>>------ 75.94 %
Java 87 hrs 48 mins >>----------------------- 09.21 %
Other 26 hrs 36 mins >------------------------ 02.79 %
Markdown 21 hrs 14 mins >------------------------ 02.23 %
Text 16 hrs 26 mins ------------------------- 01.73 %
Bash 16 hrs 11 mins ------------------------- 01.70 %
JSON 13 hrs 9 mins ------------------------- 01.38 %
TypeScript 9 hrs ------------------------- 00.95 %
JavaScript 8 hrs 5 mins ------------------------- 00.85 %
HTML 7 hrs 43 mins ------------------------- 00.81 %
CSS 6 hrs ------------------------- 00.63 %
Git Config 5 hrs 46 mins ------------------------- 00.61 %
CSV 5 hrs 3 mins ------------------------- 00.53 %
YAML 2 hrs 22 mins ------------------------- 00.25 %
PostScript 49 mins ------------------------- 00.09 %
MATLAB 37 mins ------------------------- 00.07 %
TeX 33 mins ------------------------- 00.06 %
GitIgnore file 18 mins ------------------------- 00.03 %
Docker 17 mins ------------------------- 00.03 %
SSH Config 15 mins ------------------------- 00.03 %

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BF-RIS-Channel-Covariance-DeepLearning
BF-RIS-Channel-Covariance-DeepLearning PublicOptimization of Transmit Beamforming based on Unsupervised Learning With Channel Covariances for MISO Downlink Assisted by Reconfigurable Intelligent Surfaces
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Optimization-of-Transmit-Beamforming-and-RIS-Coefficients-Using-Channel-Covariances-in-MISO-Downlink
Optimization-of-Transmit-Beamforming-and-RIS-Coefficients-Using-Channel-Covariances-in-MISO-Downlink PublicNeural Network Based Optimization of Transmit Beamforming and RIS Coefficients Using Channel Covariances in MISO Downlink
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Optimizing-UAV-trajectory-for-maximum-data-rate-via-Q-Learning
Optimizing-UAV-trajectory-for-maximum-data-rate-via-Q-Learning PublicDuring our participation in the Internship Exchange Program, my friend and I collaborated with the guidance of our esteemed supervisor from NTHU.
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