From: 14 February 2024 - To: 29 October 2026
Total Time: 1,199 hrs 29 mins
Python 890 hrs 59 mins >>>>>>>>>>>>>>>>>>>------ 74.28 %
Java 87 hrs 48 mins >>----------------------- 07.32 %
Markdown 53 hrs 15 mins >------------------------ 04.44 %
Other 41 hrs 9 mins >------------------------ 03.43 %
Bash 20 hrs 42 mins ------------------------- 01.73 %
Text 19 hrs 55 mins ------------------------- 01.66 %
JSON 19 hrs 29 mins ------------------------- 01.62 %
TypeScript 9 hrs ------------------------- 00.75 %
Git Config 8 hrs 58 mins ------------------------- 00.75 %
TeX 8 hrs 34 mins ------------------------- 00.72 %
JavaScript 8 hrs 19 mins ------------------------- 00.69 %
CSV 8 hrs 11 mins ------------------------- 00.68 %
HTML 8 hrs 11 mins ------------------------- 00.68 %
CSS 6 hrs ------------------------- 00.50 %
YAML 3 hrs 44 mins ------------------------- 00.31 %
Docker 1 hr 2 mins ------------------------- 00.09 %
PostScript 49 mins ------------------------- 00.07 %
MATLAB 37 mins ------------------------- 00.05 %
SSH Config 33 mins ------------------------- 00.05 %
Makefile 30 mins ------------------------- 00.04 %
Progressing.......
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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