From: 13 February 2024 - To: 27 January 2025
Total Time: 895 hrs 50 mins
Python 678 hrs 52 mins >>>>>>>>>>>>>>>>>>>------ 75.78 %
Java 87 hrs 48 mins >>----------------------- 09.80 %
Other 26 hrs 26 mins >------------------------ 02.95 %
Markdown 20 hrs 11 mins >------------------------ 02.25 %
Bash 14 hrs 56 mins ------------------------- 01.67 %
JSON 13 hrs 9 mins ------------------------- 01.47 %
Text 12 hrs 43 mins ------------------------- 01.42 %
TypeScript 9 hrs ------------------------- 01.01 %
JavaScript 7 hrs 51 mins ------------------------- 00.88 %
CSS 5 hrs 58 mins ------------------------- 00.67 %
Git Config 5 hrs 10 mins ------------------------- 00.58 %
CSV 5 hrs 3 mins ------------------------- 00.56 %
HTML 3 hrs 36 mins ------------------------- 00.40 %
YAML 2 hrs 21 mins ------------------------- 00.26 %
PostScript 49 mins ------------------------- 00.09 %
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
- Pro
Pinned Loading
-
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
-
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
-
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.
Something went wrong, please refresh the page to try again.
If the problem persists, check the GitHub status page or contact support.
If the problem persists, check the GitHub status page or contact support.