Transformer-Based Self-Supervised Learning for Histopathological Classification of Ischemic Stroke Clot Origin

no code implementations • 1 May 2024 • K. Yeh, M. S. Jabal, V. Gupta, D. F. Kallmes, W. Brinjikji, B. S. Erdal

Conclusion: The study demonstrates the extent of efficacy of transformer-based deep learning models in identifying ischemic stroke clot origins from histopathological images and emphasizes the need for refined modeling techniques specifically adapted to thrombi WSI.

Self-Supervised Learning Transfer Learning +1

Safety during Transient Response in Direct Current Microgrids using Control Barrier Functions

no code implementations • 4 Feb 2021 • K. C. Kosaraju, S. Sivaranjani, V. Gupta

To achieve this, we propose an optimization based controller design using control barrier functions.

A Second Chromatic Timing Event of Interstellar Origin toward PSR J1713+0747

no code implementations • 11 Dec 2017 • M. T. Lam, J. A. Ellis, G. Grillo, M. L. Jones, J. S. Hazboun, P. R. Brook, J. E. Turner, S. Chatterjee, J. M. Cordes, T. J. W. Lazio, M. E. DeCesar, Z. Arzoumanian, H. Blumer, H. T. Cromartie, P. B. Demorest, T. Dolch, R. D. Ferdman, E. C. Ferrara, E. Fonseca, N. Garver-Daniels, P. A. Gentile, V. Gupta, D. R. Lorimer, R. S. Lynch, D. R. Madison, M. A. McLaughlin, C. Ng, D. J. Nice, T. T. Pennucci, S. M. Ransom, R. Spiewak, I. H. Stairs, D. R. Stinebring, K. Stovall, J. K. Swiggum, S. J. Vigeland, W. W. Zhu

The frequency dependence of radio pulse arrival times provides a probe of structures in the intervening media.

High Energy Astrophysical Phenomena