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Promoting research training in tertiary education
[1] |
James H. Elder. A new training program in data analytics & visualization. Big Data & Information Analytics, 2016, 1 (1) : i-iii. doi: 10.3934/bdia.2016.1.1i |
[2] |
Ana Alonso Rodríguez, Hugo Beirão da Veiga, Alfio Quarteroni. The research of Alberto Valli. Discrete and Continuous Dynamical Systems - S, 2016, 9 (1) : xi-xvii. doi: 10.3934/dcdss.2016.9.1xi |
[3] |
Hugo Beirão da Veiga, Alessandro Morando, Paola Trebeschi. The research of Paolo Secchi. Discrete and Continuous Dynamical Systems - S, 2016, 9 (1) : iii-ix. doi: 10.3934/dcdss.2016.9.1iii |
[4] |
Changyan Di, Qingguo Zhou, Jun Shen, Li Li, Rui Zhou, Jiayin Lin. Innovation event model for STEM education: A constructivism perspective. STEM Education, 2021, 1 (1) : 60-74. doi: 10.3934/steme.2021005 |
[5] |
Zaineb Chelly Dagdia, Ana Cristina Simões e Silva. Effects of COVID-19 pandemic on education and society. STEM Education, 2022, 2 (3) : 197-220. doi: 10.3934/steme.2022013 |
[6] |
Elvio Accinelli, Filipe Martins, Humberto Muñiz, Bruno M. P. M. Oliveira, Alberto A. Pinto. Firms, technology, training and government fiscal policies: An evolutionary approach. Discrete and Continuous Dynamical Systems - B, 2021, 26 (11) : 5723-5754. doi: 10.3934/dcdsb.2021180 |
[7] |
Tanya Evans, Sergiy Klymchuk, Priscilla E. L. Murphy, Julia Novak, Jason Stephens, Mike Thomas. Non-routine mathematical problem-solving: Creativity, engagement, and intuition of STEM tertiary students. STEM Education, 2021, 1 (4) : 256-278. doi: 10.3934/steme.2021017 |
[8] |
Sanjukta Hota, Folashade Agusto, Hem Raj Joshi, Suzanne Lenhart. Optimal control and stability analysis of an epidemic model with education campaign and treatment. Conference Publications, 2015, 2015 (special) : 621-634. doi: 10.3934/proc.2015.0621 |
[9] |
Yujuan Li, Robert N. Hibbard, Peter L. A. Sercombe, Amanda L. Kelk, Cheng-Yuan Xu. Inspiring and engaging high school students with science and technology education in regional Australia. STEM Education, 2021, 1 (2) : 114-126. doi: 10.3934/steme.2021009 |
[10] |
Mingfeng Wang, Ruijun Liu, Chunsong Zhang, Zhao Tang. Daran robot, a reconfigurable, powerful, and affordable robotic platform for STEM education. STEM Education, 2021, 1 (4) : 299-308. doi: 10.3934/steme.2021019 |
[11] |
Sarai Hedges, Kim Given. Addressing confirmation bias in middle school data science education. Foundations of Data Science, 2022 doi: 10.3934/fods.2021035 |
[12] |
Daniel Genin. Research announcement: Boundedness of orbits for trapezoidal outer billiards. Electronic Research Announcements, 2008, 15: 71-78. doi: 10.3934/era.2008.15.71 |
[13] |
Li Zhang, Xiaofeng Zhou, Min Chen. The research on the properties of Fourier matrix and bent function. Numerical Algebra, Control and Optimization, 2020, 10 (4) : 571-578. doi: 10.3934/naco.2020052 |
[14] |
Liu Hui, Lin Zhi, Waqas Ahmad. Network(graph) data research in the coordinate system. Mathematical Foundations of Computing, 2018, 1 (1) : 1-10. doi: 10.3934/mfc.2018001 |
[15] |
Leonid A. Bunimovich. Dynamical systems and operations research: A basic model. Discrete and Continuous Dynamical Systems - B, 2001, 1 (2) : 209-218. doi: 10.3934/dcdsb.2001.1.209 |
[16] |
Richard Evan Schwartz. Research announcement: unbounded orbits for outer billiards. Electronic Research Announcements, 2007, 14: 1-6. doi: 10.3934/era.2007.14.1 |
[17] |
Daniel T. Wise. Research announcement: The structure of groups with a quasiconvex hierarchy. Electronic Research Announcements, 2009, 16: 44-55. doi: 10.3934/era.2009.16.44 |
[18] |
Chengwen Jiao, Qi Feng. Research on the parallel–batch scheduling with linearly lookahead model. Journal of Industrial and Management Optimization, 2021, 17 (6) : 3551-3558. doi: 10.3934/jimo.2020132 |
[19] |
Qi Zhang, Tao Du, Changzheng Tian. A Sim2real method based on DDQN for training a self-driving scale car. Mathematical Foundations of Computing, 2019, 2 (4) : 315-331. doi: 10.3934/mfc.2019020 |
[20] |
Bao Wang, Alex Lin, Penghang Yin, Wei Zhu, Andrea L. Bertozzi, Stanley J. Osher. Adversarial defense via the data-dependent activation, total variation minimization, and adversarial training. Inverse Problems and Imaging, 2021, 15 (1) : 129-145. doi: 10.3934/ipi.2020046 |
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