Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Kamyar Azizzadenesheli"'
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 24, Pp n/a-n/a (2023)
Abstract Seismic wave arrival time measurements form the basis for numerous downstream applications. State‐of‐the‐art approaches for phase picking use deep neural networks to annotate seismograms at each station independently, yet human experts
Externí odkaz:
https://doaj.org/article/4db7643dbcbb4be895a076b19831c68f
Autor:
Yan Yang, Angela F. Gao, Jorge C. Castellanos, Zachary E. Ross, Kamyar Azizzadenesheli, Robert W. Clayton
Publikováno v:
The Seismic Record, Vol 1, Iss 3, Pp 126-134 (2021)
Seismic wave propagation forms the basis for most aspects of seismological research, yet solving the wave equation is a major computational burden that inhibits the progress of research. This is exacerbated by the fact that new simulations must be pe
Externí odkaz:
https://doaj.org/article/a39c077129d64fc6918c53d1c565af48
Publikováno v:
Sensors, Vol 23, Iss 7, p 3572 (2023)
This work presents a framework that allows Unmanned Surface Vehicles (USVs) to avoid dynamic obstacles through initial training on an Unmanned Ground Vehicle (UGV) and cross-domain retraining on a USV. This is achieved by integrating a Deep Reinforce
Externí odkaz:
https://doaj.org/article/0ac5030034084f5c98f4c055685600a0
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 61:1-12
Seismic waveform modeling is a powerful tool for determining earth structure models and unraveling earthquake rupture processes, but it is usually computationally expensive. We introduce a scheme to vastly accelerate these calculations with a recentl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c7aeec25d8d5377dd004ce76eead21d
https://doi.org/10.1109/tgrs.2023.3264210
https://doi.org/10.1109/tgrs.2023.3264210
Publikováno v:
IFAC-PapersOnLine. 55:79-84
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab7ec679a929796f8f59fdb5111a7c50
https://doi.org/10.1016/j.ifacol.2022.09.327
https://doi.org/10.1016/j.ifacol.2022.09.327
We study policy optimization problems for deterministic Markov decision processes (MDPs) with metric state and action spaces, which we refer to as Metric Policy Optimization Problems (MPOPs). Our goal is to establish theoretical results on the well-p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::142ef4b945a3e07124221f1b94369f98
http://arxiv.org/abs/2207.05850
http://arxiv.org/abs/2207.05850
Autor:
Michael O’Connell, Guanya Shi, Xichen Shi, Kamyar Azizzadenesheli, Anima Anandkumar, Yisong Yue, Soon-Jo Chung
Executing safe and precise flight maneuvers in dynamic high-speed winds is important for the ongoing commoditization of uninhabited aerial vehicles (UAVs). However, because the relationship between various wind conditions and its effect on aircraft m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::420c3f5a880d5921eec9e60811aff651
http://arxiv.org/abs/2205.06908
http://arxiv.org/abs/2205.06908
Autor:
Animashree Anandkumar, Nikola B. Kovachki, Burigede Liu, Kamyar Azizzadenesheli, Andrew M. Stuart, Zongyi Li, Kaushik Bhattacharya
The macroscopic properties of materials that we observe and exploit in engineering application result from complex interactions between physics at multiple length and time scales: electronic, atomistic, defects, domains etc. Multiscale modeling seeks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22e0a799351a42343a4a45fa35df45c1
https://resolver.caltech.edu/CaltechAUTHORS:20210225-132721680
https://resolver.caltech.edu/CaltechAUTHORS:20210225-132721680
Publikováno v:
2021 60th IEEE Conference on Decision and Control (CDC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d51f2030ec636361f63e2bfe1930dc73
https://doi.org/10.1109/cdc45484.2021.9683670
https://doi.org/10.1109/cdc45484.2021.9683670
Autor:
Jorge C. Castellanos, Yan Yang, Robert W. Clayton, Zachary E. Ross, Kamyar Azizzadenesheli, Angela F. Gao
Seismic wave propagation forms the basis for most aspects of seismological research, yet solving the wave equation is a major computational burden that inhibits the progress of research. This is exacerbated by the fact that new simulations must be pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bf40b56684a602b0b19d8b3d73666c4
http://arxiv.org/abs/2108.05421
http://arxiv.org/abs/2108.05421