Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Gabriel Avelino Sampedro"'
Autor:
S. Phani Praveen, Mohammad Kamrul Hasan, Siti Norul Huda Sheikh Abdullah, Uddagiri Sirisha, N. S. Koti Mani Kumar Tirumanadham, Shayla Islam, Fatima Rayan Awad Ahmed, Thowiba E. Ahmed, Ayman Afrin Noboni, Gabriel Avelino Sampedro, Chan Yeob Yeun, Taher M. Ghazal
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
IntroductionGlobal Cardiovascular disease (CVD) is still one of the leading causes of death and requires the enhancement of diagnostic methods for the effective detection of early signs and prediction of the disease outcomes. The current diagnostic t
Externí odkaz:
https://doaj.org/article/261f8a01b402474884413969dc986db6
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:
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
Publikováno v:
IEEE Access, Vol 12, Pp 95659-95672 (2024)
Artificial Intelligence (AI) has made tremendous progress in anomaly detection. However, AI models work as a black-box, making it challenging to provide reasoning behind their judgments in a Log Anomaly Detection (LAD). To the rescue, Explainable Art
Externí odkaz:
https://doaj.org/article/aa543fc4b5c64677bd47ed3e3fafc5c8
Autor:
Sidra Abbas, Gabriel Avelino Sampedro, Moez Krichen, Meznah A. Alamro, Alaeddine Mihoub, Rastislav Kulhanek
Publikováno v:
IEEE Access, Vol 12, Pp 89055-89068 (2024)
The increasing occurrence of Hypertension highlights the need for advanced predictive tools in healthcare. This research proposes a novel approach that combines machine and deep learning for new feature generation and hypertension prediction. We expl
Externí odkaz:
https://doaj.org/article/7b9a6a06e09a4b88a34b3870b5e90539
Autor:
Made Adi Paramartha Putra, Nyoman Bogi Aditya Karna, Revin Naufal Alief, Ahmad Zainudin, Dong-Seong Kim, Jae-Min Lee, Gabriel Avelino Sampedro
Publikováno v:
IEEE Access, Vol 12, Pp 82413-82426 (2024)
This paper introduces PureFed, an innovative Federated Learning (FL) framework designed for efficiency, collaboration, and trustworthiness. In the background of FL research, it was observed that previous frameworks often neglected participant privacy
Externí odkaz:
https://doaj.org/article/27b0a103e554492d9b74f25b2e84bdd8
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