과제정보
This work was supported by Foundation of State Key Laboratory of Public Big Data (No.2023004), UTM Research Fellow (No.00P27), the National Natural Science Foundation of China (No.61862051), the Science and Technology Foundation of Guizhou Province (No.[2019]1299, No.ZK [2022]449), the Top-notch Talent Program of Guizhou province (No.KY[2018]080), the Natural Science Foundation of Education of Guizhou province(No.[2019]203) and the Funds of Qiannan Normal University for Nationalities (No. qnsy2019rc09). The Educational Department of Guizhou under Grant No. KY [2019]067. Key Laboratory of Advanced Manufacturing Technology of the Ministry of Education of Guizhou University (GZUAMT2022KF [07]) The research is partially funded by the Ministry of Science and Higher Education of the Russian Federation as part of World-class Research Center program: Advanced Digital Technologies (contract No. 075-15-2022-312 dated 20.04.2022) This research is supported by Abu Dhabi's Advanced Technology Research Council via the ASPIRE Award for Research Excellence program through Project Number AARE20-250. This paper has been supported by the RUDN University Strategic Academic Leadership Program. The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work through large group Research Project under grant number RGP2/6/44 This research is supported by ASPIRE, the technology program management pillar of Abu Dhabi's Advanced Technology Research Council (ATRC), via the ASPIRE Award for Research Excellence initiative.
참고문헌
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