Výsledky vyhledávání

Akademický článek

Intelligent standalone eye blinking monitoring system for computer users

Autor: Ahmad Jiman, Amjad Abdullateef, Alaa Almelawi, Khan Yunus, Yasser Kadah, Ahmad Turki, Mohammed Abdulaal, Nebras Sobahi, Eyad Attar

Publikováno v: Journal of Eye Movement Research, Vol 17, Iss 5 (2024)

Purpose: Working on computers for long hours has become a regular task for millions of people around the world. This has led to the increase of eye and vision issues related to prolonged computer use, known as computer vision syndrome (CVS). A main c

Externí odkaz: https://doaj.org/article/cce40766ee014f1897a38945e065de1d

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Akademický článek

Exact methods for the longest induced cycle problem

Autor: Ahmad Turki Anaqreh, Boglárka G.-Tóth, Tamás Vinkó

Publikováno v: Croatian Operational Research Review, Vol 15, Iss 2, Pp 199-212 (2024)

The longest induced (or chordless) cycle problem is a graph problem classified as NP-complete and involves the task of determining the largest possible subset of vertices within a graph in such a way that the induced subgraph forms a cycle. Within th

Externí odkaz: https://doaj.org/article/30f87a58caa442b399080dbad409015d

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Akademický článek

Right congenital diaphragmatic hernia associated with hepatic pulmonary fusion

Autor: Maher Al-Zaiem, Atiah Alzahrani, Enas I Raml, Nedaa Alsulaimani, Lujain Alzahrani, Ahmad Turki

Publikováno v: Journal of Pediatric Surgery Case Reports, Vol 89, Iss , Pp 102540- (2023)

Hepato-pulmonary fusion (HPF) is a rare congenital malformation that may be associated with right-sided congenital diaphragmatic hernias (CDH). According to our literature review, only 34 cases have been reported. We report herein two cases of hepato

Externí odkaz: https://doaj.org/article/561c7ec719424f60a5d8cc279ecef7fb

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Akademický článek

Enhancing Pediatric Adnexal Torsion Diagnosis: Prediction Method Utilizing Machine Learning Techniques

Autor: Ahmad Turki, Enas Raml

Publikováno v: Children, Vol 10, Iss 10, p 1612 (2023)

This study systematically examines pediatric adnexal torsion, proposing a diagnostic approach using machine learning techniques to distinguish it from acute appendicitis. Our retrospective analysis involved 41 female pediatric patients divided into t

Externí odkaz: https://doaj.org/article/a83972c9593541ad8e9289be6509adc0

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