Zobrazeno 1 - 10
of 179
pro vyhledávání: '"Qahwaji Rami"'
Yes
This survey provides an insightful overview of recent advancements in facial recognition technology, mainly focusing on multi-modal face recognition and its applications in security biometrics and identity verification. Central to this study
This survey provides an insightful overview of recent advancements in facial recognition technology, mainly focusing on multi-modal face recognition and its applications in security biometrics and identity verification. Central to this study
Externí odkaz:
http://hdl.handle.net/10454/20167
Autor:
García-Rigo Alberto, Núñez Marlon, Qahwaji Rami, Ashamari Omar, Jiggens Piers, Pérez Gustau, Hernández-Pajares Manuel, Hilgers Alain
Publikováno v:
Journal of Space Weather and Space Climate, Vol 6, p A28 (2016)
A web-based prototype system for predicting solar energetic particle (SEP) events and solar flares for use by space launch operators is presented. The system has been developed as a result of the European Space Agency (ESA) project SEPsFLAREs (Solar
Externí odkaz:
https://doaj.org/article/c4ed7509cd28439fbcca4fd1db58921e
Publikováno v:
Journal of Space Weather and Space Climate, Vol 5, p A15 (2015)
The variation of solar irradiance is one of the natural forcing mechanisms of the terrestrial climate. Hence, the time-dependent solar irradiance is an important input parameter for climate modelling. The solar surface magnetic field is a powerful pr
Externí odkaz:
https://doaj.org/article/c227a3f3584543a880903d79eb16d8fb
Yes
Facial recognition technology is crucial for precise and rapid identity verification and security. This research delves into advancements in facial recognition technology for verification purposes, employing a combination of convolutional ne
Facial recognition technology is crucial for precise and rapid identity verification and security. This research delves into advancements in facial recognition technology for verification purposes, employing a combination of convolutional ne
Externí odkaz:
http://hdl.handle.net/10454/20128
Yes
Background: This study proposes a decision support system created in collaboration with machine learning experts and ophthalmologists for detecting keratoconus (KC) severity. The system employs an ensemble machine model and minimal corneal m
Background: This study proposes a decision support system created in collaboration with machine learning experts and ophthalmologists for detecting keratoconus (KC) severity. The system employs an ensemble machine model and minimal corneal m
Externí odkaz:
http://hdl.handle.net/10454/19963
Autor:
Pietrella Marco, Núñez Marlon, Mikhailov Andrei, Kutiev Ivan, Jakowski Norbert, Egorova Tatiana, Delouille Véronique, Cid Consuelo, Bergeot Nicolas, Belehaki Anna, Tsagouri Ioanna, Potapov Alexander, Qahwaji Rami, Tulunay Yurdanur, Velinov Peter, Viljanen Ari
Publikováno v:
Journal of Space Weather and Space Climate, Vol 3, p A17 (2013)
This paper aims at providing an overview of latest advances in space weather modeling in an operational environment in Europe, including both the introduction of new models and improvements to existing codes and algorithms that address the broad rang
Externí odkaz:
https://doaj.org/article/e3b3b28dedf04571a57f6353440f1a5c
Yes
The development of many tools and technologies for people with visual impairment has become a major priority in the field of assistive technology research. However, many of these technology advancements have limitations in terms of the human
The development of many tools and technologies for people with visual impairment has become a major priority in the field of assistive technology research. However, many of these technology advancements have limitations in terms of the human
Externí odkaz:
http://hdl.handle.net/10454/19757
Autor:
Al-Fahdawi, S., Al-Waisy, A.S., Zeebaree, D.Q., Qahwaji, Rami S.R., Natiq, H., Mohammed, M.A., Nedoma, J., Martinek, R., Deveci, M.
Yes
Detecting multiple ocular diseases in fundus images is crucial in ophthalmic diagnosis. This study introduces the Fundus-DeepNet system, an automated multi-label deep learning classification system designed to identify multiple ocular diseas
Detecting multiple ocular diseases in fundus images is crucial in ophthalmic diagnosis. This study introduces the Fundus-DeepNet system, an automated multi-label deep learning classification system designed to identify multiple ocular diseas
Externí odkaz:
http://hdl.handle.net/10454/19604
Autor:
Al-Fahdawi, Shumoos, Al-Waisy, Alaa S., Zeebaree, Diyar Qader, Qahwaji, Rami, Natiq, Hayder, Mohammed, Mazin Abed, Nedoma, Jan, Martinek, Radek, Deveci, Muhammet
Publikováno v:
In Information Fusion February 2024 102
Autor:
Park, Sung-Hong, Leka, K. D., Kusano, Kanya, Andries, Jesse, Barnes, Graham, Bingham, Suzy, Bloomfield, D. Shaun, McCloskey, Aoife E., Delouille, Veronique, Falconer, David, Gallagher, Peter T., Georgoulis, Manolis K., Kubo, Yuki, Lee, Kangjin, Lee, Sangwoo, Lobzin, Vasily, Mun, JunChul, Murray, Sophie A., Nageem, Tarek A. M. Hamad, Qahwaji, Rami, Sharpe, Michael, Steenburgh, Rob A., Steward, Graham, Terkildsen, Michael
A crucial challenge to successful flare prediction is forecasting periods that transition between "flare-quiet" and "flare-active". Building on earlier studies in this series (Barnes et al. 2016; Leka et al. 2019a,b) in which we describe methodology,
Externí odkaz:
http://arxiv.org/abs/2001.02808