Zobrazeno 1 - 10
of 864
pro vyhledávání: '"Moncef Gabbouj"'
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 5, Pp 3824-3838 (2024)
The traditional healthcare system is increasingly challenged by its dependence on inperson consultations and manual monitoring, struggling with issues of scalability, the immediacy of care, and efficient resource allocation. As the global population
Externí odkaz:
https://doaj.org/article/926561ab084946c59f320387a5942c6e
Publikováno v:
IEEE Access, Vol 12, Pp 81017-81029 (2024)
Detecting malware is crucial for ensuring the security of computer systems. Traditional machine learning models face challenges in effectively detecting malware, mainly due to the class imbalance problem, where the number of malware samples is signif
Externí odkaz:
https://doaj.org/article/7a8363afe3fb443bafb463c78f4dcc96
Publikováno v:
IEEE Access, Vol 12, Pp 52428-52438 (2024)
In marine search and rescue missions, the objective is to find a missing person in the water. Time is a critical factor in the identification of the missing person, as any delay in locating them can have life-threatening consequences. Autonomous unma
Externí odkaz:
https://doaj.org/article/3439a5e631d34174af032885fb57b983
Autor:
Alexander Ulrichsen, Paul Murray, Stephen Marshall, Moncef Gabbouj, Serkan Kiranyaz, Mehmet Yamac, Nour Aburaed
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 1470-1484 (2024)
Hyperspectral imaging is a crucial tool in remote sensing, which captures far more spectral information than standard color images. However, the increase in spectral information comes at the cost of spatial resolution. Super-resolution is a popular t
Externí odkaz:
https://doaj.org/article/0f52d6eb2c5d40ac9d8052a8781eeee2
Autor:
Emmi Antikainen, Joonas Linnosmaa, Adil Umer, Niku Oksala, Markku Eskola, Mark van Gils, Jussi Hernesniemi, Moncef Gabbouj
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract With over 17 million annual deaths, cardiovascular diseases (CVDs) dominate the cause of death statistics. CVDs can deteriorate the quality of life drastically and even cause sudden death, all the while inducing massive healthcare costs. Thi
Externí odkaz:
https://doaj.org/article/7af0e8bc284e442da2ab2df72ee9651d
Autor:
Muhammad Asif Khan, Emna Baccour, Zina Chkirbene, Aiman Erbad, Ridha Hamila, Mounir Hamdi, Moncef Gabbouj
Publikováno v:
IEEE Access, Vol 10, Pp 120514-120550 (2022)
5G communication brings substantial improvements in the quality of service provided to various applications by achieving higher throughput and lower latency. However, interactive multimedia applications (e.g., ultra high definition video conferencing
Externí odkaz:
https://doaj.org/article/840b4326350448ad8e44d507e93e4153
Publikováno v:
IEEE Access, Vol 10, Pp 45542-45552 (2022)
In this paper, we propose 2D-Attention (2DA), a generic attention formulation for sequence data, which acts as a complementary computation block that can detect and focus on relevant sources of information for the given learning objective. The propos
Externí odkaz:
https://doaj.org/article/4df7d492251342c5ba17ce8a583a7cda
Publikováno v:
IEEE Access, Vol 10, Pp 24232-24239 (2022)
Spectral-based subspace learning is a common data preprocessing step in many machine learning pipelines. The main aim is to learn a meaningful low dimensional embedding of the data. However, most subspace learning methods do not take into considerati
Externí odkaz:
https://doaj.org/article/921598d6c68744b08b300d65fd009008
Publikováno v:
GIScience & Remote Sensing, Vol 58, Iss 1, Pp 28-47 (2021)
Classification of polarimetric synthetic aperture radar (PolSAR) images is an active research area with a major role in environmental applications. The traditional Machine Learning (ML) methods proposed in this domain generally focus on utilizing hig
Externí odkaz:
https://doaj.org/article/4e72d0a8435145afabd536aa552e62fd
Publikováno v:
IEEE Access, Vol 9, Pp 39560-39567 (2021)
In this paper, we describe a new large dataset for illumination estimation. This dataset, called INTEL-TAU, contains 7022 images in total, which makes it the largest available high-resolution dataset for illumination estimation research. The variety
Externí odkaz:
https://doaj.org/article/3b51f29bd7464d4ab6bbc813f930a283