Zobrazeno 1 - 10
of 72 480
pro vyhledávání: '"Leach Be"'
Autor:
Ruget, Alice, Wilson, Lewis, Leach, Jonathan, Tobin, Rachael, Mccarthy, Aongus, Buller, Gerald S., Mclaughlin, Steve, Halimi, Abderrahim
Single-photon avalanche diodes (SPADs) are advanced sensors capable of detecting individual photons and recording their arrival times with picosecond resolution using time-correlated Single-Photon Counting detection techniques. They are used in vario
Externí odkaz:
http://arxiv.org/abs/2412.09427
In recent years, the rise of machine learning (ML) in cybersecurity has brought new challenges, including the increasing threat of backdoor poisoning attacks on ML malware classifiers. For instance, adversaries could inject malicious samples into pub
Externí odkaz:
http://arxiv.org/abs/2412.03441
Crowdsourcing is a common approach to rapidly annotate large volumes of data in machine learning applications. Typically, crowd workers are compensated with a flat rate based on an estimated completion time to meet a target hourly wage. Unfortunately
Externí odkaz:
http://arxiv.org/abs/2412.00260
In deep learning (DL) systems, label noise in training datasets often degrades model performance, as models may learn incorrect patterns from mislabeled data. The area of Learning with Noisy Labels (LNL) has introduced methods to effectively train DL
Externí odkaz:
http://arxiv.org/abs/2412.00244
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