Zobrazeno 1 - 10
of 23 622
pro vyhledávání: '"P. A. Akram"'
Autor:
Nagies, Sebastian, Geier, Kevin T., Akram, Javed, Bantounas, Dimitrios, Johanning, Michael, Hauke, Philipp
Quantum annealing aims at solving optimization problems of practical relevance using quantum computing hardware. Problems of interest are typically formulated in terms of quadratic unconstrained binary optimization (QUBO) Hamiltonians. However, many
Externí odkaz:
http://arxiv.org/abs/2412.04398
Autor:
Yoosoofsah, Akram
Predicting extubation failure in intensive care is challenging due to complex data and the severe consequences of inaccurate predictions. Machine learning shows promise in improving clinical decision-making but often fails to account for temporal pat
Externí odkaz:
http://arxiv.org/abs/2412.00105
We investigate the dynamical sampling space-time trade-off problem within a graph setting. Specifically, we derive necessary and sufficient conditions for space-time sampling that enable the reconstruction of an initial band-limited signal on a graph
Externí odkaz:
http://arxiv.org/abs/2411.12670
Autor:
Youssry, Akram, Peruzzo, Alberto
Implementing arbitrary unitary transformations is crucial for applications in quantum computing, signal processing, and machine learning. Unitaries govern quantum state evolution, enabling reversible transformations critical in quantum tasks like cry
Externí odkaz:
http://arxiv.org/abs/2411.12610
The objective assessment of gait kinematics is crucial in evaluating human movement, informing clinical decisions, and advancing rehabilitation and assistive technologies. Assessing gait symmetry, in particular, holds significant importance in clinic
Externí odkaz:
http://arxiv.org/abs/2411.10485
In this research, we define two concepts; random matrix and mean square stability. Studying the stability of solutions for perturbed random differential systems is included. Partial moments of the second order were verified, which determines the stab
Externí odkaz:
http://arxiv.org/abs/2411.04929
Landmines remain a pervasive threat in conflict-affected regions worldwide, exacting a toll on innocent lives. Shockingly, every 95 minutes, another individual becomes a victim of these lethal explosive devices (Landmines Monitor 2022 2022), with a s
Externí odkaz:
http://arxiv.org/abs/2410.23998
The effect of regularizers such as weight decay when training deep neural networks is not well understood. We study the influence of weight decay as well as $L2$-regularization when training neural network models in which parameter matrices interact
Externí odkaz:
http://arxiv.org/abs/2410.23819
Beam management is an important technique to improve signal strength and reduce interference in wireless communication systems. Recently, there has been increasing interest in using diverse sensing modalities for beam management. However, it remains
Externí odkaz:
http://arxiv.org/abs/2410.19859
The bimodal metallicity distribution of globular clusters (GCs) in massive galaxies implies two distinct sub-populations: metal-poor and metal-rich. Using the recent data of \textit{Gaia} we highlighted three distinct dissimilarities between metal-po
Externí odkaz:
http://arxiv.org/abs/2410.16276