Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Najlaa Jannah"'
Autor:
Ahmed Mohammed Alghamdi, Waleed A Al Shehri, Jameel Almalki, Najlaa Jannah, Faisal S Alsubaei
Publikováno v:
PLoS ONE, Vol 19, Iss 8, p e0305483 (2024)
The COVID-19 epidemic is affecting individuals in many ways and continues to spread all over the world. Vaccines and traditional medical techniques are still being researched. In diagnosis and therapy, biological and digital technology is used to ove
Externí odkaz:
https://doaj.org/article/cdb09940c7c641e39c285e1ac9ddfc8a
Autor:
Jameel Almalki, Waleed Al Shehri, Rashid Mehmood, Khalid Alsaif, Saeed M. Alshahrani, Najlaa Jannah, Nayyar Ahmed Khan
Publikováno v:
Information, Vol 13, Iss 10, p 448 (2022)
Significant modifications have been seen in healthcare facilities over the past two decades. With the use of IoT-enabled devices, the monitoring and analysis of patient diagnostic parameters is made considerably easy. The new technology shift for med
Externí odkaz:
https://doaj.org/article/d2bc5078cf25444f8f8ec7ec98e418d5
Autor:
Waleed Al Shehri, Jameel Almalki, Rashid Mehmood, Khalid Alsaif, Saeed M. Alshahrani, Najlaa Jannah, Someah Alangari
Publikováno v:
Sustainability; Volume 14; Issue 19; Pages: 12222
The COVID-19 pandemic affects individuals in many ways and has spread worldwide. Current methods of COVID-19 detection are based on physicians analyzing the patient’s symptoms. Machine learning with deep learning approaches applied to image process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8363f6a93f4ddd0b11e35983ccfbd07
Autor:
Najlaa Jannah, Sillas Hadjiloucas
Publikováno v:
UKSim
Detection and treatment of arrhythmias has become one of the main goals in cardiac care diagnosis provided by general practitioners. Electrocardiogram (ECG) analysis is one of the most commonly used tools to test and diagnose heart problems. Classifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45683e638fb388c71bdb3779297195a5
https://doi.org/10.1109/uksim.2017.16
https://doi.org/10.1109/uksim.2017.16