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Disambiguation of "Li, Fangfang"

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High-power thin-disk lasers emitting beams with axially-symmetric polarizations

, , , , , , , , , , , , and . Nanophotonics, 11 (4): 835-846 (2022)
DOI: 10.1515/nanoph-2021-0606

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M.Sc. Yunxuan Li University of Stuttgart

FangFang Wang University of Stuttgart

Yu Li University of Stuttgart

Funing Li University of Stuttgart

A two-stage RNN-based deep reinforcement learning approach for solving the parallel machine scheduling problem with due dates and family setups, , , and . Journal of Intelligent Manufacturing, (2023)

Zheng Li University of Stuttgart

 

Other publications of authors with the same name

Logic BIST Architecture Using Staggered Launch-on-Shift for Testing Designs Containing Asynchronous Clock Domains., , , , , , , , , and 2 other author(s). DFT, page 358-366. IEEE Computer Society, (2010)A Model of In-depth Displacement under Ms8.1 at Kunlun Earthquake with D-InSAR Co-seismic Deformation Field., , , , , and . FSKD (5), page 141-144. IEEE Computer Society, (2009)The development of sex/gender-specific /s/ and its relationship to gender identity in children and adolescents., , , , , and . J. Phonetics, (2016)Effects of residual motion compensation errors on the performance of airborne along-track interferometric SAR., , , , , and . Frontiers of IT & EE, 17 (10): 1095-1106 (2016)Studies on Different CNN Algorithms for Face Skin Disease Classification Based on Clinical Images., , , , , , , , , and 4 other author(s). IEEE Access, (2019)A Novel Method to Detect Interface of Conductivity Changes in Magneto-Acousto-Electrical Tomography Using Chirp Signal Excitation Method., , , , , and . IEEE Access, (2018)The Application of Deep Learning in the Risk Grading of Skin Tumors for Patients Using Clinical Images., , , , , , , , , and 5 other author(s). J. Medical Systems, 43 (8): 283:1-283:7 (2019)CMF: Coupled Matrix Factorization for Recommender Systems., , , , and . CoRR, (2014)Interpretable Classification from Skin Cancer Histology Slides Using Deep Learning: A Retrospective Multicenter Study., , , , , and . CoRR, (2019)Energy-Efficient and Smoothing-Sensitive Curve Recovery of Sensing Physical World., , , , and . BigCom, volume 9196 of Lecture Notes in Computer Science, page 311-324. Springer, (2015)