Zobrazeno 1 - 10
of 29 347
pro vyhledávání: '"A Kirschner"'
Neural networks are increasingly used in real-time systems, such as automated driving applications. This requires high-performance hardware with predictable timing behavior. State-of-the-art real-time hardware is limited in memory and compute resourc
Externí odkaz:
http://arxiv.org/abs/2410.10340
Autor:
Smith, Lucas D., Cannady, Nicholas, Caputo, Regina, Kierans, Carolyn, Kirschner, Nicholas, Liceaga-Indart, Iker, McEnery, Julie, Metzler, Zachary, Moiseev, A. A., Parker, Lucas, Perkins, Jeremy, Sasaki, Makoto, Schoenwald, Adam J., Shy, Daniel, Valverde, Janeth, Wasti, Sambid, Woolf, Richard, Bolotnikov, Aleksey, Caligiure, Thomas J., Crosier, A. Wilder, Fried, Jack, Ghosh, Priyarshini, Griffin, Sean, Grove, J. Eric, Hays, Elizabeth, Kong, Emily, Mitchell, John, Phlips, Bernard, Sleator, Clio, Thompson, D. J., Wulf, Eric, Zajczyk, Anna
Publikováno v:
Proc. SPIE 13093, Space Telescopes and Instrumentation 2024: Ultraviolet to Gamma Ray, 130937Z (21 August 2024)
The ComPair balloon instrument is a prototype gamma-ray telescope that aims to further develop technology for observing the gamma-ray sky in the MeV regime. ComPair combines four detector subsystems to enable parallel Compton scattering and pair-prod
Externí odkaz:
http://arxiv.org/abs/2410.02557
Autor:
Kirschner, Robin Jeanne, Yang, Jinyu, Elshani, Edonis, Micheler, Carina M., Leibbrand, Tobias, Müller, Dirk, Glowalla, Claudio, Rajaei, Nader, Burgkart, Rainer, Haddadin, Sami
Safety for physical human-robot interaction (pHRI) is a major concern for all application domains. While current standardization for industrial robot applications provide safety constraints that address the onset of pain in blunt impacts, these impac
Externí odkaz:
http://arxiv.org/abs/2408.06175
Autor:
Kirschner, Nicholas, Kierans, Carolyn, Wasti, Sambid, Schoenwald, Adam J., Caputo, Regina, Griffin, Sean, Liceaga-Indart, Iker, Parker, Lucas, Perkins, Jeremy S., Zajczyk, Anna
The ComPair balloon instrument is a prototype of the All-sky Medium Energy Gamma-ray Observatory (AMEGO) mission concept. AMEGO aims to bridge the spectral gap in sensitivity that currently exists from $\sim$100 keV to $\sim$100 MeV by being sensitiv
Externí odkaz:
http://arxiv.org/abs/2407.18737
Autor:
Shy, Daniel, Woolf, Richard S., Sleator, Clio, Phlips, Bernard, Grove, J. Eric, Wulf, Eric A., Johnson-Rambert, Mary, Davis, Mitch, Kong, Emily, Caligiure, Thomas, Crosier, A. Wilder, Bolotnikov, Aleksey, Cannady, Nicholas, Carini, Gabriella A., Caputo, Regina, Fried, Jack, Ghosh, Priyarshini, Griffin, Sean, Hays, Elizabeth, Herrmann, Sven, Kierans, Carolyn, Kirschner, Nicholas, Liceaga-Indart, Iker, Metzler, Zachary, McEnery, Julie, Mitchell, John, Moiseev, A. A., Parker, Lucas, Dellapenna, Alfred, Perkins, Jeremy S., Sasaki, Makoto, Schoenwald, Adam J., Smith, Lucas D., Valverde, Janeth, Wasti, Sambid, Zajczyk, Anna
The ComPair gamma-ray telescope is a technology demonstrator for a future gamma-ray telescope called the All-sky Medium Energy Gamma-ray Observatory (AMEGO). The instrument is composed of four subsystems, a double-sided silicon strip detector, a virt
Externí odkaz:
http://arxiv.org/abs/2405.06839
Autor:
Kirschner, Robin Jeanne, Micheler, Carina M., Zhou, Yangcan, Siegner, Sebastian, Hamad, Mazin, Glowalla, Claudio, Neumann, Jan, Rajaei, Nader, Burgkart, Rainer, Haddadin, Sami
The use of pointed or edged tools or objects is one of the most challenging aspects of today's application of physical human-robot interaction (pHRI). One reason for this is that the severity of harm caused by such edged or pointed impactors is less
Externí odkaz:
http://arxiv.org/abs/2404.04004
Autor:
Kirschner, Johannes, Bakhtiari, Seyed Alireza, Chandak, Kushagra, Tkachuk, Volodymyr, Szepesvári, Csaba
A long line of works characterizes the sample complexity of regret minimization in sequential decision-making by min-max programs. In the corresponding saddle-point game, the min-player optimizes the sampling distribution against an adversarial max-p
Externí odkaz:
http://arxiv.org/abs/2403.10379
Autor:
Royer, Jessica, Paquola, Casey, Valk, Sofie L., Kirschner, Matthias, Hong, Seok-Jun, Park, Bo-yong, Bethlehem, Richard A. I., Leech, Robert, Yeo, B. T. Thomas, Jefferies, Elizabeth, Smallwood, Jonathan, Margulies, Daniel, Bernhardt, Boris C.
Multimodal neuroimaging grants a powerful in vivo window into the structure and function of the human brain. Recent methodological and conceptual advances have enabled investigations of the interplay between large-scale spatial trends, or gradients,
Externí odkaz:
http://arxiv.org/abs/2402.11055
Autor:
Hackenberg, Maren, Pfaffenlehner, Michelle, Behrens, Max, Pechmann, Astrid, Kirschner, Janbernd, Binder, Harald
In a longitudinal clinical registry, different measurement instruments might have been used for assessing individuals at different time points. To combine them, we investigate deep learning techniques for obtaining a joint latent representation, to w
Externí odkaz:
http://arxiv.org/abs/2312.00616
Autor:
Laubenbacher, Reinhard, Adler, Fred, An, Gary, Castiglione, Filippo, Eubank, Stephen, Fonseca, Luis L., Glazier, James, Helikar, Tomas, Jett-Tilton, Marti, Kirschner, Denise, Macklin, Paul, Mehrad, Borna, Moore, Beth, Pasour, Virginia, Shmulevich, Ilya, Smith, Amber, Voigt, Isabel, Yankeelov, Thomas E., Ziemssen, Tjalf
Publikováno v:
npj Syst Biol Appl 10, 19 (2024). PMID: 38365857
Medical digital twins are computational models of human biology relevant to a given medical condition, which can be tailored to an individual patient, thereby predicting the course of disease and individualized treatments, an important goal of person
Externí odkaz:
http://arxiv.org/abs/2310.18374