Zobrazeno 1 - 10
of 63 425
pro vyhledávání: '"A. Özkan"'
Publikováno v:
Revista de Gastroenterología de México (English Edition), Vol 89, Iss 2, Pp 232-236 (2024)
Introduction and aims: We aimed to investigate changes in initial platelet indices in patients arriving at the emergency department with acute cholecystitis. Material and methods: A retrospective case-control study was conducted at a tertiary care te
Externí odkaz:
https://doaj.org/article/413e2aead8b448b8bb19200976b4c036
In this work, we propose a new method to track extended targets of different shapes such as ellipses, rectangles and rhombi. We provide an analytical framework to express these shapes as superelliptical contours and propose a Bayesian filtering schem
Externí odkaz:
http://arxiv.org/abs/2406.10389
The feedback-based algorithm for quantum optimization (FALQON) has recently been proposed to solve quadratic unconstrained binary optimization problems. This paper efficiently generalizes FALQON to tackle quadratic constrained binary optimization (QC
Externí odkaz:
http://arxiv.org/abs/2406.08169
Drawing inspiration from the Lyapunov control technique for quantum systems, feedback-based quantum algorithms have been proposed for calculating the ground states of Hamiltonians. In this work, we consider extending these algorithms to tackle calcul
Externí odkaz:
http://arxiv.org/abs/2404.19386
Autor:
Wang, Weixing, Yang, Haojin, Meinel, Christoph, Özkan, Hasan Yagiz, Serna, Cristian Bermudez, Mas-Machuca, Carmen
In recent years, there has been a growing interest in using Machine Learning (ML), especially Deep Learning (DL) to solve Network Intrusion Detection (NID) problems. However, the feature distribution shift problem remains a difficulty, because the ch
Externí odkaz:
http://arxiv.org/abs/2404.15382
Recently, feedback-based quantum algorithms have been introduced to calculate the ground states of Hamiltonians, inspired by quantum Lyapunov control theory. This paper aims to generalize these algorithms to the problem of calculating an eigenstate o
Externí odkaz:
http://arxiv.org/abs/2404.04620
In Optical Coherence Tomography (OCT), speckle noise significantly hampers image quality, affecting diagnostic accuracy. Current methods, including traditional filtering and deep learning techniques, have limitations in noise reduction and detail pre
Externí odkaz:
http://arxiv.org/abs/2402.12735
Stochastic convergence of discrete time Markov processes has been analysed based on a dual Lyapunov approach. Using some existing results on ergodic theory of Markov processes, it has been shown that existence of a properly subinvariant function (cou
Externí odkaz:
http://arxiv.org/abs/2402.12257
Publikováno v:
British Food Journal, 2024, Vol. 126, Issue 11, pp. 3906-3921.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/BFJ-02-2024-0134
Context: Domain-Driven Design (DDD) addresses software challenges, gaining attention for refactoring, reimplementation, and adoption. It centers on domain knowledge to solve complex business problems. Objective: This Systematic Literature Review (SLR
Externí odkaz:
http://arxiv.org/abs/2310.01905