Smart Japanese listening course design based on data intelligent analysis and FPGA
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Software
Reference20 articles.
1. Ito, N., Sugimoto, T., Ishida, S., Kobayashi, I., & Sugeno, M. (n.d.). A model of rhetorical structure analysis of Japanese instructional texts and its application to a smart help system. 2004 IEEE International Conference On Systems, Man and Cybernetics (IEEE Cat. No.04CH37583). doi:10.1109/icsmc.2004.1400908.
2. Yin, Z. (2018). Educational Ability evaluation of Japanese Language Teachers under MOOC Environment. 2018 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS). doi:10.1109/icitbs.2018.00083.
3. Implementation and evaluation of an FPGA-based network data anonymizer;Nakamura;IEEJ Trans Electr Electron Eng,2017
4. Karim, S., Harkin, J., McDaid, L., Gardiner, B., Liu, J., Halliday, D.M., Johnson, A.P. (2018). FPGA-based Fault-injection and Data Acquisition of Self-repairing Spiking Neural Network Hardware. 2018 IEEE International Symposium On Circuits and Systems (ISCAS). doi:10.1109/Pisces.2018.8351512.
5. GPOP: a cache and memory-efficient framework for graph processing over partitions;Lakhotia,2019
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