Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Abdullah, Al Hejaili"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Due to the rising use of the Internet of Things (IoT), the connectivity of networks increases the risk of Distributed Denial of Service (DDoS) attacks. Decentralized systems commonly used in centralized security systems fail to adequately pr
Externí odkaz:
https://doaj.org/article/729a35e4232a43c2b6cda7e8c6f68e06
Publikováno v:
Frontiers in Neuroinformatics, Vol 18 (2024)
Alzheimer's disease (AD) is a progressive neurological disorder characterized by the gradual deterioration of cognitive functions, leading to dementia and significantly impacting the quality of life for millions of people worldwide. Early and accurat
Externí odkaz:
https://doaj.org/article/1b338881794b461c907c2cf12036fe01
Autor:
Sidra Abbas, Stephen Ojo, Abdullah Al Hejaili, Gabriel Avelino Sampedro, Ahmad Almadhor, Monji Mohamed Zaidi, Natalia Kryvinska
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract As cardiovascular disorders are prevalent, there is a growing demand for reliable and precise diagnostic methods within this domain. Audio signal-based heart disease detection is a promising area of research that leverages sound signals gene
Externí odkaz:
https://doaj.org/article/517ba2e3aa8942f6b93a0b848a249b3d
Autor:
Sidra Abbas, Imen Bouazzi, Gabriel Avelino Sampedro, Shtwai Alsubai, Ahmad S. Almadhor, Abdullah Al Hejaili, Natalia Kryvinska
Publikováno v:
IEEE Access, Vol 12, Pp 151987-151997 (2024)
Darknet refers to a significant portion of the internet that is hidden and not indexed by traditional search engines. It is often associated with illicit activities such as the trafficking of illicit goods, such as drugs, weapons, and stolen data. To
Externí odkaz:
https://doaj.org/article/33d868b882254f698207035af237b0d6
Autor:
Sidra Abbas, Stephen Ojo, Imen Bouazzi, Gabriel Avelino Sampedro, Abdullah Al Hejaili, Ahmad S. Almadhor, Rastislav Kulhanek
Publikováno v:
IEEE Access, Vol 12, Pp 138904-138920 (2024)
The widespread use of smartphones has brought convenience and connectivity to the fingertips of the masses. As a result, this has paved the way for potential security vulnerabilities concerning sensitive data, particularly by exploiting side-channel
Externí odkaz:
https://doaj.org/article/17f06f1754054ea9b51369f0a70a0a16
Autor:
Monji Mohamed Zaidi, Gabriel Avelino Sampedro, Ahmad Almadhor, Shtwai Alsubai, Abdullah Al Hejaili, Michal Gregus, Sidra Abbas
Publikováno v:
IEEE Access, Vol 12, Pp 105497-105510 (2024)
Suspicious Human activity recognition (SHAR) is crucial for improving surveillance and security systems by recognizing and reducing possible hazards in different situations. This study focuses on the task of precisely identifying potentially suspicio
Externí odkaz:
https://doaj.org/article/ca9ab96ae7be482597d2354074a2d21d
Autor:
Ahmad Almadhor, Sidra Abbas, Gabriel Avelino Sampedro, Shtwai Alsubai, Stephen Ojo, Abdullah Al Hejaili, Lubomira Strazovska
Publikováno v:
IEEE Access, Vol 12, Pp 58097-58105 (2024)
This research delves into applying active and machine learning techniques to predict student anxiety. This research explores how these technologies can be explored to understand and predict student anxiety levels. This study utilizes active learning
Externí odkaz:
https://doaj.org/article/86f429e704364ed3ba50795dec20350c
Autor:
Sidra Abbas, Gabriel Avelino Sampedro, Shtwai Alsubai, Stephen Ojo, Ahmad S. Almadhor, Abdullah Al Hejaili, Lubomira Strazovska
Publikováno v:
IEEE Access, Vol 12, Pp 44949-44959 (2024)
This research explores the potential of technologies in human activity recognition among the elderly population. More precisely, using sensor data and implementing Active Learning (AL), Machine Learning (ML), and Deep learning (DL) techniques for eld
Externí odkaz:
https://doaj.org/article/c4749961f8794a7f831b72179fb4b907
Autor:
Sidra Abbas, Shtwai Alsubai, Muhammad Ibrar Ul Haque, Gabriel Avelino Sampedro, Ahmad Almadhor, Abdullah Al Hejaili, Iryna Ivanochko
Publikováno v:
IEEE Access, Vol 12, Pp 22595-22607 (2024)
Smartwatches with cutting-edge sensors are becoming commonplace in our daily lives. Despite their widespread use, it can be challenging to interpret accelerometer and gyroscope data efficiently for Human Activity Recognition (HAR). This study explore
Externí odkaz:
https://doaj.org/article/1a0c7161e3f6480f9a2901314078a9fd
Autor:
Sidra Abbas, Imen Bouazzi, Stephen Ojo, Gabriel Avelino Sampedro, Ahmad S. Almadhor, Abdullah Al Hejaili, Zuzana Stolicna
Publikováno v:
IEEE Access, Vol 12, Pp 1706-1717 (2024)
Energy providers and the power grid are severely harmed by electricity theft, which also causes economic and non-technical losses. Energy theft causes a decline in power quality and overall profitability. Smart grids may address the problem of power
Externí odkaz:
https://doaj.org/article/feb130e4e2cd43f8b4e38bae35cad41f