Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Marissa Gee"'
Publikováno v:
Frontiers in Physiology, Vol 10 (2019)
Type I diabetes (T1D) is an autoimmune disease that can be managed, but for which there is currently no cure. Recent discoveries, particularly in mouse models, indicate that targeted modulation of the immune response has the potential to move an indi
Externí odkaz:
https://doaj.org/article/00d0e64158694a5384a87d4aee2f40f0
Autor:
Alexander Vladimirsky, Marissa Gee
We propose a model for path-planning based on a single performance metric that accurately accounts for the the potential (spatially inhomogeneous) cost of breakdowns and repairs. These random breakdowns (or system faults) happen at a known, spatially
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22d6ec54ffe20fc1a6ae4a58eabfd796
Publikováno v:
Transportation research. Part C, Emerging technologies. 138
During a pandemic such as COVID-19, managing public transit effectively becomes a critical policy decision. On the one hand, efficient transportation plays a pivotal role in enabling the movement of essential workers and keeping the economy moving. O
Autor:
Marissa Gee, Eva Loeser, Swagata Biswas, Fei Ren, Matt Haberland, Brendon G. Anderson, Andrea L. Bertozzi, Olga Turanova
Publikováno v:
Informatics in Control, Automation and Robotics ISBN: 9783030319922
ICINCO (Selected Papers)
ICINCO (Selected Papers)
In the field of swarm robotics, the design and implementation of spatial density control laws has received much attention, with less emphasis being placed on performance evaluation. This work fills that gap by introducing an error metric that provide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::062c8f2e6061e451112021e70d3a9b36
https://doi.org/10.1007/978-3-030-31993-9_13
https://doi.org/10.1007/978-3-030-31993-9_13
Autor:
Olga Turanova, Marissa Gee, Brendon G. Anderson, Eva Loeser, Andrea L. Bertozzi, Matt Haberland, Fei Ren, Swagata Biswas
Publikováno v:
ICINCO (2)
Anderson, BG; Loeser, E; Gee, M; Ren, F; Biswas, S; Turanova, O; et al.(2018). Quantitative Assessment of Robotic Swarm Coverage. Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics (ICINCO)---Volume 2, 2018, pp. 91--101. doi: 10.5220/0006844601010111. UCLA: Retrieved from: http://www.escholarship.org/uc/item/7rz9z3w9
Anderson, BG; Loeser, E; Gee, M; Ren, F; Biswas, S; Turanova, O; et al.(2018). Quantitative Assessment of Robotic Swarm Coverage. Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics (ICINCO)---Volume 2, 2018, pp. 91--101. doi: 10.5220/0006844601010111. UCLA: Retrieved from: http://www.escholarship.org/uc/item/7rz9z3w9
This paper studies a generally applicable, sensitive, and intuitive error metric for the assessment of robotic swarm density controller performance. Inspired by vortex blob numerical methods, it overcomes the shortcomings of a common strategy based o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35d9c7dc5d42518f069d145994427069
https://escholarship.org/uc/item/7rz9z3w9
https://escholarship.org/uc/item/7rz9z3w9
Autor:
David Kwan, Marissa Gee, Brenda Castro, Rebekah Justice, Preethi Seshadri, Zachary Dodds, Terrence Diaz
Publikováno v:
SIGCSE
This paper shares the five-year development and deployment of MyCS, a CS curriculum for "middle-years students," roughly in US grades 4-10. Consistent with many middle-years curricula, MyCS promotes positive individual identification with its field,