المؤلفون: Ping Guo, Ji-Yong Dai, Yan-Xia Wang

المصدر: 2006 International Conference on Machine Learning and Cybernetics Machine Learning and Cybernetics Machine Learning and Cybernetics, 2006 International Conference on. :1165-1169 Aug, 2006

Relation: Proceedings of 2006 International Conference on Machine Learning and Cybernetics

المؤلفون: Qiaosheng Pan, Ji-yong Dai, Kai-lun Wang, En-ming Miao, Li Zhang

المصدر: 2019 13th Symposium on Piezoelectrcity, Acoustic Waves and Device Applications (SPAWDA).

مصطلحات موضوعية: 010302 applied physics, Materials science, Acoustics, 02 engineering and technology, 021001 nanoscience & nanotechnology, 01 natural sciences, Power (physics), law.invention, Volumetric flow rate, Vibration, Electric power system, law, 0103 physical sciences, Vibrator (electronic), Potentiometer, Tuning fork, 0210 nano-technology, Voltage

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::0a804962db8f10380c4f700abde40fe0
https://doi.org/10.1109/spawda.2019.8681780

المؤلفون: Dian Cao, Qiu Bo Huang, Ji Yong Dai

المصدر: Advanced Materials Research. :1512-1515

مصطلحات موضوعية: Loader, Engineering, Software, Computer simulation, business.industry, General Engineering, Mechanical engineering, Solid modeling, Structural engineering, business, Finite element method, Parametric statistics

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::c0ad2dc39bcf9b93eaed7e9654b31323
https://doi.org/10.4028/www.scientific.net/amr.834-836.1512

المؤلفون: Yan-xia Wang, Ping Guo, Ji-yong Dai

المصدر: 2006 International Conference on Machine Learning and Cybernetics.

مصطلحات موضوعية: business.industry, Computer science, Pattern recognition, computer.software_genre, Data set, ComputingMethodologies_PATTERNRECOGNITION, Dimension (vector space), Outlier, Anomaly detection, Data mining, Artificial intelligence, Projection (set theory), business, computer

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::3f2760868d5bc4ba3a40aa26497e0a49
https://doi.org/10.1109/icmlc.2006.258598