Zobrazeno 1 - 10
of 13 659
pro vyhledávání: '"ROY, B"'
In today's digital age, cyberspace has become integral to daily life, however it has also led to an increase in cybercriminal activities. This paper explores cybercrime trends and highlights the need for cybercrime awareness (cyberawareness) to mitig
Externí odkaz:
http://arxiv.org/abs/2410.09089
Autor:
Bandyopadhyay, Riddi, Sarlis, Nicolas V., Weygand, James M., Strangeway, Robert J., Torbert, Roy B., Burch, James L.
Turbulence is a prevalent phenomenon in space and astrophysical plasmas, often characterized by stochastic fluctuations. While laboratory experiments and numerical simulations have revealed chaotic behavior, in-situ observations of turbulent plasmas
Externí odkaz:
http://arxiv.org/abs/2409.13991
Autor:
Beedle, Jason M. H., Gershman, Daniel J., Uritsky, Vadim M., Shuster, Jason R., Phan, Tai D., Giles, Barbara L., Genestreti, Kevin J., Torbert, Roy B.
Dayside magnetic reconnection allows for the transfer of the solar wind's energy into Earth's magnetosphere. This process takes place in electron diffusion regions (EDRs) embedded in ion diffusion regions (IDRs), which form in the magnetopause bounda
Externí odkaz:
http://arxiv.org/abs/2405.11003
We examine the numerical approximation of a quasilinear stochastic differential equation (SDE) with multiplicative fractional Brownian motion. The stochastic integral is interpreted in the Wick-It\^o-Skorohod (WIS) sense that is well defined and cent
Externí odkaz:
http://arxiv.org/abs/2404.07013
Autor:
Beedle, Jason M. H., Chen, Li-Jen, Shuster, Jason R., Gurram, Harsha, Gershman, Dan J., Chen, Yuxi, Rice, Rachel C., Burkholder, Brandon L., Ardakani, Akhtar S., Genestreti, Kevin J., Torbert, Roy B.
On April 24th, 2023, a CME event caused the solar wind to become sub-Alfvenic, leading to the development of an Alfven Wing configuration in the Earth's Magnetosphere. Alfven Wings have previously been observed as cavities of low flow in Jupiter's ma
Externí odkaz:
http://arxiv.org/abs/2402.16895
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Modeling global net ecosystem exchange is essential to understanding and quantifying the complex interactions between the Earth’s terrestrial ecosystems and the atmosphere. Emphasizing the inter-relatedness between the global net ecosystem
Externí odkaz:
https://doaj.org/article/d87e5945046c4f208662d452800e2e43
Autor:
Rather, Nadeem, Simorangkir, Roy B. V. B., Buckley, John L., O'Flynn, Brendan, Tedesco, Salvatore
In this paper, we present a new approach for robust reading of identification and sensor data from chipless RFID sensor tags. For the first time, Machine Learning (ML) and Deep Learning (DL) regression modelling techniques are applied to a dataset of
Externí odkaz:
http://arxiv.org/abs/2308.13944
Autor:
Allaire, C., Ammendola, R., Aschenauer, E. -C., Balandat, M., Battaglieri, M., Bernauer, J., Bondì, M., Branson, N., Britton, T., Butter, A., Chahrour, I., Chatagnon, P., Cisbani, E., Cline, E. W., Dash, S., Dean, C., Deconinck, W., Deshpande, A., Diefenthaler, M., Ent, R., Fanelli, C., Finger, M., Finger, Jr., M., Fol, E., Furletov, S., Gao, Y., Giroux, J., Waduge, N. C. Gunawardhana, Harish, R., Hassan, O., Hegde, P. L., Hernández-Pinto, R. J., Blin, A. Hiller, Horn, T., Huang, J., Jayakodige, D., Joo, B., Junaid, M., Karande, P., Kriesten, B., Elayavalli, R. Kunnawalkam, Lin, M., Liu, F., Liuti, S., Matousek, G., McEneaney, M., McSpadden, D., Menzo, T., Miceli, T., Mikuni, V., Montgomery, R., Nachman, B., Nair, R. R., Niestroy, J., Oregon, S. A. Ochoa, Oleniacz, J., Osborn, J. D., Paudel, C., Pecar, C., Peng, C., Perdue, G. N., Phelps, W., Purschke, M. L., Rajput, K., Ren, Y., Renteria-Estrada, D. F., Richford, D., Roy, B. J., Roy, D., Sato, N., Satogata, T., Sborlini, G., Schram, M., Shih, D., Singh, J., Singh, R., Siodmok, A., Stone, P., Stevens, J., Suarez, L., Suresh, K., Tawfik, A. -N., Acosta, F. Torales, Tran, N., Trotta, R., Twagirayezu, F. J., Tyson, R., Volkova, S., Vossen, A., Walter, E., Whiteson, D., Williams, M., Wu, S., Zachariou, N., Zurita, P.
The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune time for artificial intelligence (AI) to be included from the start at
Externí odkaz:
http://arxiv.org/abs/2307.08593