Zobrazeno 1 - 10
of 2 367
pro vyhledávání: '"Muhammad, Hamza"'
Recent attention-based volumetric segmentation (VS) methods have achieved remarkable performance in the medical domain which focuses on modeling long-range dependencies. However, for voxel-wise prediction tasks, discriminative local features are key
Externí odkaz:
http://arxiv.org/abs/2410.01003
High-resolution images are preferable in medical imaging domain as they significantly improve the diagnostic capability of the underlying method. In particular, high resolution helps substantially in improving automatic image segmentation. However, m
Externí odkaz:
http://arxiv.org/abs/2410.00986
The proliferation of distributed energy resources has heightened the interactions between transmission and distribution (T&D) systems, necessitating novel analyses for the reliable operation and planning of interconnected T&D networks. A critical gap
Externí odkaz:
http://arxiv.org/abs/2409.14532
We propose a model order reduction approach to speed up the computation of seismograms, i.e. the solution of the seismic wave equation evaluated at a receiver location, for different model parameters. Our approach achieves a reduction of the unknowns
Externí odkaz:
http://arxiv.org/abs/2406.07207
Autor:
Mughal, Muhammad Hamza, Dabral, Rishabh, Habibie, Ikhsanul, Donatelli, Lucia, Habermann, Marc, Theobalt, Christian
Gestures play a key role in human communication. Recent methods for co-speech gesture generation, while managing to generate beat-aligned motions, struggle generating gestures that are semantically aligned with the utterance. Compared to beat gesture
Externí odkaz:
http://arxiv.org/abs/2403.17936
Autor:
Gogioso, Stefano, Wang-Maścianica, Vincent, Waseem, Muhammad Hamza, Scandolo, Carlo Maria, Coecke, Bob
Publikováno v:
EPTCS 397, 2023, pp. 137-151
Constructor theory is a meta-theoretic approach that seeks to characterise concrete theories of physics in terms of the (im)possibility to implement certain abstract "tasks" by means of physical processes. Process theory, on the other hand, pursues a
Externí odkaz:
http://arxiv.org/abs/2401.05364
Autor:
Dündar-Coecke, Selma, Yeh, Lia, Puca, Caterina, Pfaendler, Sieglinde M. -L., Waseem, Muhammad Hamza, Cervoni, Thomas, Kissinger, Aleks, Gogioso, Stefano, Coecke, Bob
Publikováno v:
2023 IEEE International Conference on Quantum Computing and Engineering (QCE), 2023, pp. 21-32
Quantum theory is often regarded as challenging to learn and teach, with advanced mathematical prerequisites ranging from complex numbers and probability theory to matrix multiplication, vector space algebra and symbolic manipulation within the Hilbe
Externí odkaz:
http://arxiv.org/abs/2312.03653
Modern agriculture heavily relies on Site-Specific Farm Management practices, necessitating accurate detection, localization, and quantification of crops and weeds in the field, which can be achieved using deep learning techniques. In this regard, cr
Externí odkaz:
http://arxiv.org/abs/2310.01055
Autor:
Andrew Awuah Wireko, Adam Ben-Jaafar, Jonathan Sing Huk Kong, Krishitha Meenu Mannan, Vivek Sanker, Sophie-Liliane Rosenke, Allswell Naa Adjeley Boye, Princess Afia Nkrumah-Boateng, Jeisun Poornaselvan, Muhammad Hamza Shah, Toufik Abdul-Rahman, Oday Atallah
Publikováno v:
Molecular Brain, Vol 17, Iss 1, Pp 1-22 (2024)
Abstract CNS tumours encompass a diverse group of neoplasms with significant morbidity and mortality. The SHH signalling pathway plays a critical role in the pathogenesis of several CNS tumours, including gliomas, medulloblastomas and others. By infl
Externí odkaz:
https://doaj.org/article/127fd4a474354ac48f7338d83df8193b
