Shuo Deng
Orcid: 0000-0002-6787-0399
According to our database1,
Shuo Deng
authored at least 17 papers
between 2009 and 2024.
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Bibliography
2024
Improved uniform error bounds of a Lawson-type exponential wave integrator method for the Klein-Gordon-Dirac equation.
Appl. Math. Comput., 2024
Research on Mathematical Model Construction and Tooth Profile Modification of Internal Gear with High Contact Ratio.
Proceedings of the 9th Asia-Pacific Conference on Intelligent Robot Systems, 2024
2023
Sensitivity Enhancement of 2D Material-Based Surface Plasmon Resonance Sensor with an Al-Ni Bimetallic Structure.
Sensors, February, 2023
2020
Experimental Investigation of the Dielectric Constants of Thin Noble Metallic Films Using a Surface Plasmon Resonance Sensor.
Sensors, 2020
2019
Multi-step Nyström methods for general second-order initial value problems y″(t) = f(t, y(t), y′(t)).
Int. J. Comput. Math., 2019
2018
Extended explicit pseudo two-step RKN methods for oscillatory systems y ″ + M y = f(y).
Numer. Algorithms, 2018
J. Comput. Appl. Math., 2018
Trigonometrically fitted multi-step RKN methods for second-order oscillatory initial value problems.
Appl. Math. Comput., 2018
2017
Kill two birds with one stone: Boosting both object detection accuracy and speed with adaptive patch-of-interest composition.
Proceedings of the 2017 IEEE International Conference on Multimedia & Expo Workshops, 2017
2015
PhD thesis, 2015
Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, 2015
Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, 2015
2014
All your network are belong to us: a transport framework for mobile network selection.
Proceedings of the 15th Workshop on Mobile Computing Systems and Applications, 2014
Proceedings of the 2014 Internet Measurement Conference, 2014
2013
Proceedings of the 2013 Internet Measurement Conference, 2013
2012
Proceedings of the Conference on emerging Networking Experiments and Technologies, 2012
2009
Urban Road Network Modeling and Real-Time Prediction Based on Householder Transformation and Adjacent Vector.
Proceedings of the Advances in Neural Networks, 2009