financially supported by the National Natural Science Foundation of China (Nos.U2032101 and 11905306);Fundamental Research Funds for the Central Universities (No.19lgpy14);“100 Top Talents Program” of Sun Yat-sen University;the support of 19U2 beamline at Shanghai Synchrotron Radiation Facility。
Poly(3,4-ethylenedioxythiophene)(PEDOT) is one of the most successful conductive polymers that recently has been used in wearable sensors for human health monitoring. In this work, we prepared a series of PEDOT hybrid...
The author extends their appreciation to the Deputyship for Research&Innovation,Ministry of Education in Saudi Arabia for funding this research work through the project number(IFPSAU-2021/01/18128).
The design and analysis of a fractional order proportional integral deri-vate(FOPID)controller integrated with an adaptive neuro-fuzzy inference system(ANFIS)is proposed in this study.Afirst order plus delay time plant...
The research in this article is supported by the Science and Technology Innovation 2030-“New Generation Artificial Intelligence”Major Project(2018AA0101901);the National Key Research and Development Project(2018YFB1005103);the National Natural Science Foundation of China(Grant Nos.61772156 and 61976073);Shenzhen Foundational Research Funding(JCYJ20200109113441941);the Foundation of Heilongjiang Province(F2018013).
Discourse parsing is an important research area in natural language processing(NLP),which aims to parse the discourse structure of coherent sentences.In this survey,we introduce several different kinds of discourse pa...
Supported by the National Key R&D Program of China(Grant No.2019YFA0709503);the Shanghai Sailing Program;the Natural Science Foundation of Shanghai(Grant No.20ZR1429000);the National Natural Science Foundation of China(Grant No.62002221);Shanghai Municipal of Science and Technology Project(Grant No.20JC1419500);the HPC of School of Mathematical Sciences at Shanghai Jiao Tong University。
Why heavily parameterized neural networks(NNs) do not overfit the data is an important long standing open question. We propose a phenomenological model of the NN training to explain this non-overfitting puzzle. Our li...