Výsledky vyhledávání

Akademický článek

Leveraging Data Locality in Quantum Convolutional Classifiers

Autor: Mingyoung Jeng, Alvir Nobel, Vinayak Jha, David Levy, Dylan Kneidel, Manu Chaudhary, Ishraq Islam, Audrey Facer, Manish Singh, Evan Baumgartner, Eade Vanderhoof, Abina Arshad, Esam El-Araby

Publikováno v: Entropy, Vol 26, Iss 6, p 461 (2024)

Quantum computing (QC) has opened the door to advancements in machine learning (ML) tasks that are currently implemented in the classical domain. Convolutional neural networks (CNNs) are classical ML architectures that exploit data locality and posse

Externí odkaz: https://doaj.org/article/18f42dedc60d4ccca61d6815c21a8226

Zobrazit plný text záznamu

Plný text ve formátu HTML

Akademický článek

Optimizing Multidimensional Pooling for Variational Quantum Algorithms

Autor: Mingyoung Jeng, Alvir Nobel, Vinayak Jha, David Levy, Dylan Kneidel, Manu Chaudhary, Ishraq Islam, Evan Baumgartner, Eade Vanderhoof, Audrey Facer, Manish Singh, Abina Arshad, Esam El-Araby

Publikováno v: Algorithms, Vol 17, Iss 2, p 82 (2024)

Convolutional neural networks (CNNs) have proven to be a very efficient class of machine learning (ML) architectures for handling multidimensional data by maintaining data locality, especially in the field of computer vision. Data pooling, a major co

Externí odkaz: https://doaj.org/article/77c3de95f4d240959f6e166416220a69

Zobrazit plný text záznamu

Plný text ve formátu HTML

Akademický článek

Challenges prescribing and dispensing oral antibiotics with poor palatability for paediatric patients: A qualitative interview study with GPs and pharmacists

Autor: Ayat Elgammal, Joseph Ryan, Colin Bradley, Abina Crean, Margaret Bermingham

Publikováno v: Exploratory Research in Clinical and Social Pharmacy, Vol 17, Iss , Pp 100546- (2025)

Background: Poor palatability of antibiotics is a key cause for non-adherence to antibiotic treatment among children. Failure to complete antibiotic treatment because of poor palatability can cause disease recurrence and may contribute to increasing

Externí odkaz: https://doaj.org/article/700c781bc0ea4dd3ae5dc01d98a54f8f

Zobrazit plný text záznamu