Zobrazeno 1 - 10
of 169 787
pro vyhledávání: '"A. Adnan"'
Autor:
Black, Kevin, Brown, Noah, Driess, Danny, Esmail, Adnan, Equi, Michael, Finn, Chelsea, Fusai, Niccolo, Groom, Lachy, Hausman, Karol, Ichter, Brian, Jakubczak, Szymon, Jones, Tim, Ke, Liyiming, Levine, Sergey, Li-Bell, Adrian, Mothukuri, Mohith, Nair, Suraj, Pertsch, Karl, Shi, Lucy Xiaoyang, Tanner, James, Vuong, Quan, Walling, Anna, Wang, Haohuan, Zhilinsky, Ury
Robot learning holds tremendous promise to unlock the full potential of flexible, general, and dexterous robot systems, as well as to address some of the deepest questions in artificial intelligence. However, bringing robot learning to the level of g
Externí odkaz:
http://arxiv.org/abs/2410.24164
Autor:
Holwerda, Benne W., Robertson, Clayton, Cook, Kyle, Pimbblet, Kevin A., Casura, Sarah, Sansom, Anne E., Patel, Divya, Butrum, Trevor, Glass, David H. W., Kelvin, Lee, Baldry, Ivan K., De Propris, Roberto, Bamford, Steven, Masters, Karen, Stone, Maria, Hardin, Tim, Walmsley, Mike, Liske, Jochen, Adnan, S M Rafee
Galaxy Zoo is an online project to classify morphological features in extra-galactic imaging surveys with public voting. In this paper, we compare the classifications made for two different surveys, the Dark Energy Spectroscopic Instrument (DESI) ima
Externí odkaz:
http://arxiv.org/abs/2410.19985
Autor:
Ebrahem, Adnan, Hohl, Jannes, Jessen, Etienne, Eikelder, Marco F. P. ten, Schillinger, Dominik
We present a framework for modeling liver regrowth on the organ scale that is based on three components: (1) a multiscale perfusion model that combines synthetic vascular tree generation with a multi-compartment homogenized flow model, including a ho
Externí odkaz:
http://arxiv.org/abs/2410.19529
Seamless integration of artificial intelligence (AI) and machine learning (ML) techniques with wireless systems is a crucial step for 6G AInization. However, such integration faces challenges in terms of model functionality and lifecycle management.
Externí odkaz:
http://arxiv.org/abs/2410.18793
Generative artificial intelligence (GAI) has emerged as a pivotal technology for content generation, reasoning, and decision-making, making it a promising solution on the 6G stage characterized by openness, connected intelligence, and service democra
Externí odkaz:
http://arxiv.org/abs/2410.18790
Autor:
Aijaz, Adnan
The IEEE 802.1 time-sensitive networking (TSN) standards improve real-time capabilities of the standard Ethernet. TSN and local/private 5G systems are envisaged to co-exist in industrial environments. The IEEE 802.1CB standard provides fault toleranc
Externí odkaz:
http://arxiv.org/abs/2410.18739
Autor:
Shiotari, Akitoshi, Nishida, Jun, Hammud, Adnan, Schulz, Fabian, Wolf, Martin, Kumagai, Takashi, Müller, Melanie
Scattering-type scanning near-field optical microscopy (s-SNOM) allows for the observation of the optical response of material surfaces with a resolution far below the diffraction limit. A spatial resolution of 10-100 nm is routinely achieved in s-SN
Externí odkaz:
http://arxiv.org/abs/2410.18455
Advanced automated AI techniques allow us to classify protein sequences and discern their biological families and functions. Conventional approaches for classifying these protein families often focus on extracting N-Gram features from the sequences w
Externí odkaz:
http://arxiv.org/abs/2410.17293
Computer-aided diagnosis (CAD) is today considered a vital tool in the field of biological image categorization, segmentation, and other related tasks. The current breakthrough in computer vision algorithms and deep learning approaches has substantia
Externí odkaz:
http://arxiv.org/abs/2410.14833
The linear canonical transform (LCT) serves as a powerful generalization of the Fourier transform (FT), encapsulating various integral transforms within a unified framework. This versatility has made it a cornerstone in fields such as signal processi
Externí odkaz:
http://arxiv.org/abs/2410.19001