Zobrazeno 1 - 10
of 30 953
pro vyhledávání: '"Dawood, A. A."'
Autor:
Dawood, Moez, Heavner, Ben, Wheeler, Marsha M., Ungar, Rachel A., LoTempio, Jonathan, Wiel, Laurens, Berger, Seth, Bernstein, Jonathan A., Chong, Jessica X., Délot, Emmanuèle C., Eichler, Evan E., Gibbs, Richard A., Lupski, James R., Shojaie, Ali, Talkowski, Michael E., Wagner, Alex H., Wei, Chia-Lin, Wellington, Christopher, Wheeler, Matthew T., Members, GREGoR Partner, Carvalho, Claudia M. B., Gifford, Casey A., May, Susanne, Miller, Danny E., Rehm, Heidi L., Sedlazeck, Fritz J., Vilain, Eric, O'Donnell-Luria, Anne, Posey, Jennifer E., Chadwick, Lisa H., Bamshad, Michael J., Montgomery, Stephen B., Diseases, Genomics Research to Elucidate the Genetics of Rare, Consortium
Rare diseases are collectively common, affecting approximately one in twenty individuals worldwide. In recent years, rapid progress has been made in rare disease diagnostics due to advances in DNA sequencing, development of new computational and expe
Externí odkaz:
http://arxiv.org/abs/2412.14338
Palpation of human tissue during Minimally Invasive Surgery is hampered due to restricted access. In this extended abstract, we present a variable stiffness and dynamic force range sensor that has the potential to address this challenge. The sensor u
Externí odkaz:
http://arxiv.org/abs/2412.10239
Autor:
Mondal, Avinandan, Kothawala, Dawood
We discuss the structure of microcanonical ensembles in inertial and non-inertial frames attached to a confined system of positive energy particles in curved spacetime. Under certain physically reasonable assumptions that ensure the existence of such
Externí odkaz:
http://arxiv.org/abs/2412.10058
Autor:
Wang, Yuanyuan, Song, Qian, Wasif, Dawood, Shahzad, Muhammad, Koller, Christoph, Bamber, Jonathan, Zhu, Xiao Xiang
Uncertainty quantification (UQ) is essential for assessing the reliability of Earth observation (EO) products. However, the extensive use of machine learning models in EO introduces an additional layer of complexity, as those models themselves are in
Externí odkaz:
http://arxiv.org/abs/2412.06451
Reinforcement learning (RL) has been successfully applied to a variety of robotics applications, where it outperforms classical methods. However, the safety aspect of RL and the transfer to the real world remain an open challenge. A prominent field f
Externí odkaz:
http://arxiv.org/abs/2412.04153
This paper explores modifications to General Relativity (GR) by considering higher-order curvature terms in the gravitational action, specifically focusing on the quadratic Ricci scalar and a particular cubic contraction of the Riemann tensor. These
Externí odkaz:
http://arxiv.org/abs/2410.01266
Autor:
Dawood, Peter, Blaimer, Martin, Herrler, Jürgen, Liebig, Patrick, Weinmüller, Simon, Malik, Shaihan, Jakob, Peter M., Zaiss, Moritz
Purpose: To non-heuristically identify dedicated variable flip angle (VFA) schemes optimized for the point-spread function (PSF) and signal-to-noise ratio (SNR) of multiple tissues in 3D FSE sequences with very long echo trains at 7T. Methods: The pr
Externí odkaz:
http://arxiv.org/abs/2409.20251
Autor:
Shokry, Ahmed, Gomaa, Walid, Zaenker, Tobias, Dawood, Murad, Maged, Shady A., Awad, Mohammed I., Bennewitz, Maren
Peg-in-hole assembly in unknown environments is a challenging task due to onboard sensor errors, which result in uncertainty and variations in task parameters such as the hole position and orientation. Meta Reinforcement Learning (Meta RL) has been p
Externí odkaz:
http://arxiv.org/abs/2409.16208
Autor:
Dawood, Jina, Gren, Lucas
Leadership in agile teams is a collective responsibility where team members share leadership work based on expertise and skills. However, the understanding of leadership in this context is limited. This study explores the under-researched area of pro
Externí odkaz:
http://arxiv.org/abs/2409.11685
Accurate inertial parameter identification is crucial for the simulation and control of robots encountering intermittent contact with the environment. Classically, robots' inertial parameters are obtained from CAD models that are not precise (and som
Externí odkaz:
http://arxiv.org/abs/2409.09850