Zobrazeno 1 - 10
of 72 086
pro vyhledávání: '"Leach, A"'
Autor:
Bray, C., Fretwell, S., Zepeda-Ruiz, L. A., Kim, I., Samanta, A., Wang, K., Stone-Whitehead, C., Warburton, W. K., Ponce, F., Leach, K. G., Abells, R., Amaro, P., Andoche, A., Cantor, R., Diercks, D., Guerra, M., Hall, A., Harris, C., Harris, J., Hayen, L., Hervieux, P. A., Kim, G. B., Lennarz, A., Lordi, V., Machado, J., Machule, P., Marino, A., McKeen, D., Mougeot, X., Ruiz, C., Smolsky, J. P. Santos J., Waters, B. D., Friedrich, S.
Superconducting sensors doped with rare isotopes have recently demonstrated powerful sensing performance for sub-keV radiation from nuclear decay. Here, we report the first high-resolution recoil spectroscopy of a single, selected nuclear state using
Externí odkaz:
http://arxiv.org/abs/2411.08076
Federated Learning (FL) offers a promising solution to the privacy concerns associated with centralized Machine Learning (ML) by enabling decentralized, collaborative learning. However, FL is vulnerable to various security threats, including poisonin
Externí odkaz:
http://arxiv.org/abs/2411.03231
We present the characterization of cosmogenic muon backgrounds for the Colorado Underground Research Institute (CURIE), located in the Edgar Experimental Mine (EEM) in Idaho Springs, Colorado. The CURIE facility at the EEM offers a versatile shallow
Externí odkaz:
http://arxiv.org/abs/2411.01626
Federated Learning (FL) shows promise in preserving privacy and enabling collaborative learning. However, most current solutions focus on private data collected from a single domain. A significant challenge arises when client data comes from diverse
Externí odkaz:
http://arxiv.org/abs/2410.22622
Autor:
Ray, Dwaipayan, Collister, Robert, Rasiwala, Hussain, Backes, Lucas, Balbuena, Ali V., Brunner, Thomas, Casandjian, Iroise, Chambers, Chris, vitan, Megan, Daniels, Tim, Dilling, Jens, Elmansali, Ryan, Fairbank, William, Fudenberg, Daniel, Gornea, Razvan, Gratta, Giorgio, Iverson, Alec, Kwiatkowski, Anna A., Leach, Kyle G., Lennarz, Annika, Li, Zepeng, Medina-Peregrina, Melissa, Murray, Kevin, Sullivan, Kevin O, Ross, Regan, Shaikh, Raad, Shang, Xiao, Soderstrom, Joseph, Varentsov, Victor, Yang, Liang
Neutrinoless double beta decay ($0 \nu \beta \beta$) provides a way to probe physics beyond the Standard Model of particle physics. The upcoming nEXO experiment will search for $0\nu\beta\beta$ decay in $^{136}$Xe with a projected half-life sensitivi
Externí odkaz:
http://arxiv.org/abs/2410.18138
Publikováno v:
29th International Conference on Automation and Computing (ICAC 2024)
This paper has proposed a Digital Twin (DT) framework for real-time motion and pose control of soft robotic grippers. The developed DT is based on an industrial robot workstation, integrated with our newly proposed approach for soft gripper control,
Externí odkaz:
http://arxiv.org/abs/2410.14928
Rapid document classification is critical in several time-sensitive applications like digital forensics and large-scale media classification. Traditional approaches that rely on heavy-duty deep learning models fall short due to high inference times o
Externí odkaz:
http://arxiv.org/abs/2410.01166
Autor:
Kim, Inwook, Bray, Connor, Marino, Andrew, Stone-Whitehead, Caitlyn, Lamm, Amii, Abells, Ryan, Amaro, Pedro, Andoche, Adrien, Cantor, Robin, Diercks, David, Fretwell, Spencer, Gillespie, Abigail, Guerra, Mauro, Hall, Ad, Harris, Cameron N., Harris, Jackson T., Hinkle, Calvin, Hayen, Leendert M., Hervieux, Paul-Antoine, Kim, Geon-Bo, Leach, Kyle G., Lennarz, Annika, Lordi, Vincenzo, Machado, Jorge, McKeen, David, Mougeot, Xavier, Ponce, Francisco, Ruiz, Chris, Samanta, Amit, Santos, José Paulo, Smolsky, Joseph, Taylor, John, Templet, Joseph, Upadhyayula, Sriteja, Wagner, Louis, Warburton, William K., Waters, Benjamin, Friedrich, Stephan
The Beryllium Electron capture in Superconducting Tunnel junctions (BeEST) experiment searches for evidence of heavy neutrino mass eigenstates in the nuclear electron capture decay of $^7$Be by precisely measuring the recoil energy of the $^7$Li daug
Externí odkaz:
http://arxiv.org/abs/2409.19085
Autor:
Klusty, Mitchell A., Logan, W. Vaiden, Armstrong, Samuel E., Mullen, Aaron D., Leach, Caroline N., Talbert, Jeff, Bumgardner, V. K. Cody
Administrative documentation is a major driver of rising healthcare costs and is linked to adverse outcomes, including physician burnout and diminished quality of care. This paper introduces a secure system that applies recent advancements in speech-
Externí odkaz:
http://arxiv.org/abs/2409.15378
Recent growth and proliferation of malware has tested practitioners' ability to promptly classify new samples according to malware families. In contrast to labor-intensive reverse engineering efforts, machine learning approaches have demonstrated inc
Externí odkaz:
http://arxiv.org/abs/2409.13213