From: 13 February 2024 - To: 03 January 2025
Total Time: 842 hrs 29 mins
Python 635 hrs 43 mins >>>>>>>>>>>>>>>>>>>------ 75.46 %
Java 87 hrs 48 mins >>>---------------------- 10.42 %
Other 23 hrs 25 mins >------------------------ 02.78 %
Markdown 19 hrs 55 mins >------------------------ 02.36 %
JSON 13 hrs 2 mins ------------------------- 01.55 %
Text 11 hrs 17 mins ------------------------- 01.34 %
Bash 10 hrs 24 mins ------------------------- 01.24 %
TypeScript 9 hrs ------------------------- 01.07 %
JavaScript 7 hrs 51 mins ------------------------- 00.93 %
CSS 5 hrs 58 mins ------------------------- 00.71 %
Git Config 4 hrs 48 mins ------------------------- 00.57 %
CSV 4 hrs 37 mins ------------------------- 00.55 %
HTML 3 hrs 36 mins ------------------------- 00.43 %
YAML 2 hrs 21 mins ------------------------- 00.28 %
PostScript 49 mins ------------------------- 00.10 %
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 %
Progressing.......
Highlights
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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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BF-RIS-Channel-Covariance-DeepLearning
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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
Python
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