Zobrazeno 1 - 10
of 6 201
pro vyhledávání: '"A, Esmaili"'
Autor:
Esmaili-Dokht, Pouya, Sgherzi, Francesco, Girelli, Valeria Soldera, Boixaderas, Isaac, Carmin, Mariana, Monemi, Alireza, Armejach, Adria, Mercadal, Estanislao, Llort, German, Radojkovic, Petar, Moreto, Miquel, Gimenez, Judit, Martorell, Xavier, Ayguade, Eduard, Labarta, Jesus, Confalonieri, Emanuele, Dubey, Rishabh, Adlard, Jason
The Memory stress (Mess) framework provides a unified view of the memory system benchmarking, simulation and application profiling. The Mess benchmark provides a holistic and detailed memory system characterization. It is based on hundreds of measure
Externí odkaz:
http://arxiv.org/abs/2405.10170
The neutrino sector of the standard model of particles can contain more than one sterile neutrino states. Generally, existence of more sterile states leads to better, or at least equally good, fit to the short baseline anomalous data due to the large
Externí odkaz:
http://arxiv.org/abs/2405.10419
The percent-level precision attained by modern cosmic ray (CR) observations motivates reaching a comparable or better control of theoretical uncertainties. Here we focus on energy-loss processes affecting low-energy CR protons ($\sim 0.1-5$ GeV), whe
Externí odkaz:
http://arxiv.org/abs/2403.18012
Inverse resolution of spatially varying diffusion coefficient using Physics-Informed neural networks
Resolving the diffusion coefficient is a key element in many biological and engineering systems, including pharmacological drug transport and fluid mechanics analyses. Additionally, these systems often have spatial variation in the diffusion coeffici
Externí odkaz:
http://arxiv.org/abs/2403.03970
Autor:
Esmaili, Molud, Christensen, Ken
Public permissionless blockchains facilitate peer-to-peer digital transactions, yet face performance challenges specifically minimizing transaction confirmation time to decrease energy and time consumption per transaction. Performance evaluation and
Externí odkaz:
http://arxiv.org/abs/2402.18049
We examine the thermodynamic characteristics of unified quantum statistics as a novel framework that undergoes a crossover between Bose-Einstein and Fermi-Dirac statistics by varying a generalization parameter $\delta$. We find an attractive intrinsi
Externí odkaz:
http://arxiv.org/abs/2310.16736
Publikováno v:
Computer Physics Communications, 299 (2024) 109154
An ultra high energy electromagnetic cascade, a purely leptonic process and initiated by either photons or $e^\pm$, can be a source of high energy neutrinos. We present a public python3 code, MUNHECA, to compute the neutrino spectrum by taking into a
Externí odkaz:
http://arxiv.org/abs/2310.01510
Publikováno v:
Caspian Journal of Internal Medicine, Vol 15, Iss 4, Pp 713-728 (2024)
Background: Our study discusses the probable etiologies and characteristics of pulmonary cavities in post-COVID-19 patients. A pulmonary cavity is a late complication of the disease, yet it has led to multiple referrals to our tertiary hospital in Te
Externí odkaz:
https://doaj.org/article/710eaac5003a4245afef51f4a0a6f25d
Publikováno v:
Optimization 73 (2024), no. 9, 2745--2789
We study an optimal control problem for a stochastic model of tumour growth with drug application. This model consists of three stochastic hyperbolic equations describing the evolution of tumour cells. It also includes two stochastic parabolic equati
Externí odkaz:
http://arxiv.org/abs/2307.09574
In this paper, we present different architectures of Convolutional Neural Networks (CNN) to analyze and classify the brain tumors into benign and malignant types using the Magnetic Resonance Imaging (MRI) technique. Different CNN architecture optimiz
Externí odkaz:
http://arxiv.org/abs/2307.07503