From: 14 February 2024 - To: 18 April 2026
Total Time: 1,048 hrs 45 mins
Python 811 hrs 8 mins >>>>>>>>>>>>>>>>>>>------ 77.34 %
Java 87 hrs 48 mins >>----------------------- 08.37 %
Other 28 hrs 11 mins >------------------------ 02.69 %
Markdown 21 hrs 46 mins >------------------------ 02.08 %
Bash 17 hrs 34 mins ------------------------- 01.68 %
Text 17 hrs 1 min ------------------------- 01.62 %
JSON 13 hrs 28 mins ------------------------- 01.29 %
TypeScript 9 hrs ------------------------- 00.86 %
JavaScript 8 hrs 5 mins ------------------------- 00.77 %
HTML 7 hrs 59 mins ------------------------- 00.76 %
Git Config 6 hrs 20 mins ------------------------- 00.61 %
CSS 6 hrs ------------------------- 00.57 %
CSV 5 hrs 48 mins ------------------------- 00.55 %
YAML 3 hrs 41 mins ------------------------- 00.35 %
Docker 1 hr 2 mins ------------------------- 00.10 %
PostScript 49 mins ------------------------- 00.08 %
MATLAB 37 mins ------------------------- 00.06 %
TeX 34 mins ------------------------- 00.05 %
GitIgnore file 18 mins ------------------------- 00.03 %
SSH Config 16 mins ------------------------- 00.03 %
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Highlights
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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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