Zobrazeno 1 - 10
of 76
pro vyhledávání: '"TAMER ABUHMED"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Urban gas pipelines pose significant risks to public safety and infrastructure integrity, necessitating thorough risk assessment methodologies to mitigate potential hazards. This study investigates the dynamics of population distribution, de
Externí odkaz:
https://doaj.org/article/0fee878abce7499e85a7e7de2d40d3b4
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract The challenge of making flexible, standard, and early medical diagnoses is significant. However, some limitations are not fully overcome. First, the diagnosis rules established by medical experts or learned from a trained dataset prove stati
Externí odkaz:
https://doaj.org/article/c46f2136221c4d268a3974f75b3d98cf
Time-series visual explainability for Alzheimer’s disease progression detection for smart healthcare
Publikováno v:
Alexandria Engineering Journal, Vol 82, Iss , Pp 484-502 (2023)
Artificial intelligence (AI)-based diagnostic systems provide less error-prone and safer support to clinicians, enhancing the medical decision-making process. This study presents a smart and reliable healthcare framework for detecting Alzheimer's dis
Externí odkaz:
https://doaj.org/article/502d16a6ebfe4769966127478070f6db
Publikováno v:
Diagnostics, Vol 14, Iss 21, p 2385 (2024)
Background: Depression is a pervasive mental health condition, particularly affecting older adults, where early detection and intervention are essential to mitigate its impact. This study presents an explainable multi-layer dynamic ensemble framework
Externí odkaz:
https://doaj.org/article/23662f9ea0a844e3b81cc42f2b78f91c
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-22 (2023)
Abstract Alzheimer’s disease (AD) is the most common form of dementia. Early and accurate detection of AD is crucial to plan for disease modifying therapies that could prevent or delay the conversion to sever stages of the disease. As a chronic dis
Externí odkaz:
https://doaj.org/article/6adf926f399e4c6bac85f670ae4bb9fd
Publikováno v:
Geo-spatial Information Science, Vol 26, Iss 3, Pp 496-513 (2023)
ABSTRACTMost countries and territories worldwide are affected by coronavirus disease 2019 (COVID-19), and some cities have become known as epicenters owing to high outbreaks. Because of the changeable and unknown nature of the virus, managers of diff
Externí odkaz:
https://doaj.org/article/5b9efab41a42454ba09978e9927bd249
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Automated multi-organ segmentation plays an essential part in the computer-aided diagnostic (CAD) of chest X-ray fluoroscopy. However, developing a CAD system for the anatomical structure segmentation remains challenging due to several indis
Externí odkaz:
https://doaj.org/article/f826aceac6764638a5d01499d51e95d5
Publikováno v:
Journal of Materiomics, Vol 8, Iss 3, Pp 678-684 (2022)
In this work, a machine learning (ML) model was created to predict intrinsic hardness of various compounds using their crystal chemistry. For this purpose, an initial dataset, containing the hardness values of 270 compounds and counterpart applied lo
Externí odkaz:
https://doaj.org/article/6e9fdbc93bab442a992a65fed465d77d
Autor:
Jalal Safari Bazargani, Abolghasem Sadeghi-Niaraki, Fatema Rahimi, Tamer Abuhmed, Soo-Mi Choi
Publikováno v:
IEEE Access, Vol 10, Pp 130632-130641 (2022)
In today’s world, technology has assumed an indispensable role in everyday life. However, though developments in the Internet of Things (IoT) have laid a foundation for achieving different educational purposes, IoT is not being employed to its full
Externí odkaz:
https://doaj.org/article/84ff538fc8ad4bc9aac3df8be6e9cca9
Publikováno v:
PLoS ONE, Vol 18, Iss 5, p e0285455 (2023)
This study aims to predict head trauma outcome for Neurosurgical patients in children, adults, and elderly people. As Machine Learning (ML) algorithms are helpful in healthcare field, a comparative study of various ML techniques is developed. Several
Externí odkaz:
https://doaj.org/article/f2ea6fb1b89f46fe871a571d92b9168c