Zobrazeno 1 - 10
of 4 593
pro vyhledávání: '"Anil, V."'
Autor:
Haman III, George V., Rao, Anil V.
An adaptive mesh refinement and error estimation method for numerically solving optimal control problems is developed using Legendre-Gauss-Radau direct collocation. In regions of the solution where the desired accuracy tolerance has not been met, the
Externí odkaz:
http://arxiv.org/abs/2410.07488
Autor:
Winkler, Katrina L., Rao, Anil V.
An optimal guidance method is developed that reduces sensitivity to parameters in the dynamic model. The method combines a previously developed method for guidance and control using adaptive Legendre-Gauss-Radau (LGR) collocation and a previously dev
Externí odkaz:
http://arxiv.org/abs/2408.04146
Autor:
Abadia-Doyle, Gabriela, Rao, Anil V.
A modified form of Legendre-Gauss orthogonal direct collocation is developed for solving optimal control problems whose solutions are nonsmooth due to control discontinuities. This new method adds switch-time variables, control variables, and colloca
Externí odkaz:
http://arxiv.org/abs/2406.06824
Autor:
Byczkowski, Cale A., Rao, Anil V.
The trajectory optimization of the atmospheric entry of a reusable launch vehicle is studied. The objective is to maximize the crossrange of the vehicle subject to two control-inequality path constraints, two state-inequality path constraints, and on
Externí odkaz:
http://arxiv.org/abs/2406.04185
Autor:
Lu, Ming Y., Chen, Bowen, Williamson, Drew F. K., Chen, Richard J., Ikamura, Kenji, Gerber, Georg, Liang, Ivy, Le, Long Phi, Ding, Tong, Parwani, Anil V, Mahmood, Faisal
The field of computational pathology has witnessed remarkable progress in the development of both task-specific predictive models and task-agnostic self-supervised vision encoders. However, despite the explosive growth of generative artificial intell
Externí odkaz:
http://arxiv.org/abs/2312.07814
Autor:
Song, Andrew H., Williams, Mane, Williamson, Drew F. K., Jaume, Guillaume, Zhang, Andrew, Chen, Bowen, Serafin, Robert, Liu, Jonathan T. C., Baras, Alex, Parwani, Anil V., Mahmood, Faisal
Human tissue and its constituent cells form a microenvironment that is fundamentally three-dimensional (3D). However, the standard-of-care in pathologic diagnosis involves selecting a few two-dimensional (2D) sections for microscopic evaluation, risk
Externí odkaz:
http://arxiv.org/abs/2307.14907
Autor:
Lu, Ming Y., Chen, Bowen, Williamson, Drew F. K., Chen, Richard J., Liang, Ivy, Ding, Tong, Jaume, Guillaume, Odintsov, Igor, Zhang, Andrew, Le, Long Phi, Gerber, Georg, Parwani, Anil V, Mahmood, Faisal
The accelerated adoption of digital pathology and advances in deep learning have enabled the development of powerful models for various pathology tasks across a diverse array of diseases and patient cohorts. However, model training is often difficult
Externí odkaz:
http://arxiv.org/abs/2307.12914
Autor:
Parzyck, C. T., Gupta, N. K., Wu, Y., Anil, V., Bhatt, L., Bouliane, M., Gong, R., Gregory, B. Z., Luo, A., Sutarto, R., He, F., Chuang, Y. -D., Zhou, T., Herranz, G., Kourkoutis, L. F., Singer, A., Schlom, D. G., Hawthorn, D. G., Shen, K. M.
A hallmark of many unconventional superconductors is the presence of many-body interactions which give rise to broken symmetry states intertwined with superconductivity. Recent resonant soft x-ray scattering experiments report commensurate $3a_0$ cha
Externí odkaz:
http://arxiv.org/abs/2307.06486