From: 13 February 2024 - To: 24 February 2025
Total Time: 919 hrs 15 mins
Python 696 hrs 55 mins >>>>>>>>>>>>>>>>>>>------ 75.81 %
Java 87 hrs 48 mins >>----------------------- 09.55 %
Other 26 hrs 26 mins >------------------------ 02.88 %
Markdown 20 hrs 49 mins >------------------------ 02.27 %
Bash 16 hrs 11 mins ------------------------- 01.76 %
Text 15 hrs 43 mins ------------------------- 01.71 %
JSON 13 hrs 9 mins ------------------------- 01.43 %
TypeScript 9 hrs ------------------------- 00.98 %
JavaScript 7 hrs 52 mins ------------------------- 00.86 %
CSS 5 hrs 58 mins ------------------------- 00.65 %
Git Config 5 hrs 20 mins ------------------------- 00.58 %
CSV 5 hrs 3 mins ------------------------- 00.55 %
HTML 3 hrs 54 mins ------------------------- 00.42 %
YAML 2 hrs 22 mins ------------------------- 00.26 %
PostScript 49 mins ------------------------- 00.09 %
GitIgnore file 18 mins ------------------------- 00.03 %
Docker 17 mins ------------------------- 00.03 %
MATLAB 13 mins ------------------------- 00.02 %
TSConfig 11 mins ------------------------- 00.02 %
GraphQL 8 mins ------------------------- 00.02 %
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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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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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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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