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1927, 2D. ed., Qing shi hua, 11 double leaves
Book
10/2015, Volume 5, Issue 13, pp. 84666 - 84672
Improving the mechanical durability is crucial to superhydrophobic metal surfaces. Here we present a simple and efficient method to fabricate a stable... 
Journal Article
2014, ISBN 3642542980
Resistance and capacitance (RC) extraction is an essential step in modeling the interconnection wires and substrate coupling effect in nanometer-technology... 
Computer science | Engineering | Numerical analysis | Computer simulation | Systems engineering | Computer aided design
Web Resource
2002, Di 1 ban., Gu dai wen ming tan suo zhi lü cong shu, ISBN 9787533915834, 129
Book
Chinese Journal of Sensors and Actuators, ISSN 1004-1699, 05/2017, Volume 30, Issue 5, pp. 674 - 677
Journal Article
Journal Article
Lancet Oncology, The, ISSN 1470-2045, 2015, Volume 16, Issue 16, pp. 1659 - 1666
Journal Article
Marine and Petroleum Geology, ISSN 0264-8172, 11/2019, Volume 109, pp. 408 - 418
Tracing the nature of dolomitizing fluids and constraining the dolomitization time are of great significance for understanding dolomite genesis and reservoir... 
Miaolingian–Furongian Series | Dolomitizing fluids | Dolomite | Strontium isotopes | Southeast Sichuan Basin
Journal Article
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, ISSN 0258-8013, 2013, Volume 33, Issue 31, pp. 26 - 33
Journal Article
Journal Article
Scientific Reports, ISSN 2045-2322, 2012, Volume 2, Issue 1, p. 870
The use of nanomaterials for strain sensors has attracted attention due to their unique electromechanical properties. However, nanomaterials have yet to... 
MULTIDISCIPLINARY SCIENCES | CARBON | FILMS | Nanomaterials | Fabrics | Sensors | Films | Nanotechnology | Alloys
Journal Article
by Bao, WZ and Xie, XQ and Xu, J and Guo, X and Song, JJ and Wu, WJ and Su, DW and Wang, GX
CHEMISTRY-A EUROPEAN JOURNAL, ISSN 0947-6539, 09/2017, Volume 23, Issue 51, pp. 12613 - 12619
Journal Article
Artificial Intelligence Review, ISSN 0269-2821, 01/2019, Volume 51, Issue 1, pp. 19 - 32
The time complexity of traditional support vector machine (SVM) is O(l3) and l is the the training sample size, and it can not solve the large scale problems.... 
Granular support vector machine | Support vector machine | Prospects | Basic model | Rudiment | SVM | MODEL | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | PREDICTION | Support vector machines | Algorithms | Learning theory | Research & development--R&D | Artificial intelligence | Machine learning
Journal Article