Zobrazeno 1 - 10
of 152 930
pro vyhledávání: '"A A Adnan"'
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
Autor:
Hajomer, Adnan A. E., Kanitschar, Florian, Jain, Nitin, Hentschel, Michael, Zhang, Runjia, Lütkenhaus, Norbert, Andersen, Ulrik L., Pacher, Christoph, Gehring, Tobias
Establishing secure data communication necessitates secure key exchange over a public channel. Quantum key distribution (QKD), which leverages the principles of quantum physics, can achieve this with information-theoretic security. The discrete modul
Externí odkaz:
http://arxiv.org/abs/2410.13702
Autor:
He, Shizhe, Paschali, Magdalini, Ouyang, Jiahong, Masood, Adnan, Chaudhari, Akshay, Adeli, Ehsan
Publikováno v:
International Workshop on Machine Learning in Clinical Neuroimaging (MLCN) 2024
Representation learning has become increasingly important, especially as powerful models have shifted towards learning latent representations before fine-tuning for downstream tasks. This approach is particularly valuable in leveraging the structural
Externí odkaz:
http://arxiv.org/abs/2410.12053