Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Shahbaz Memon"'
Autor:
Shahbaz Memon, Rimaz Mustafa, Mohammed Essa, Mohsen Al Zahrani, Musaed Alharbi, Bader Ahmari, Husam Alsadi
Publikováno v:
Pediatric Hematology Oncology Journal, Vol 8, Iss 1, Pp 39-40 (2023)
Background: Severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) is the cause of COVID-19. Almost 50% of infected people with the virus are asymptomatic. After the introduction of the COVID-19 vaccine, there is a significant reduction in symp
Externí odkaz:
https://doaj.org/article/07e3f2efb47c4b31825e5189731bb4a7
Publikováno v:
5061-5064 (2022). doi:10.1109/IGARSS46834.2022.9884699
IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022, Kuala Lumpur, Malaysia, 2022-07-17-2022-07-22
IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium
IEEE International Geoscience and Remote Sensing Symposium (GRSS)
IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022, Kuala Lumpur, Malaysia, 2022-07-17-2022-07-22
IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium
IEEE International Geoscience and Remote Sensing Symposium (GRSS)
In Remote Sensing (RS) classification, generalization ability is one of the measure that characterizes the success of Machine Learning (ML) models, but is often impeded by the scarce availability of annotated training data. Annotated RS samples are e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d7b081789c96eecc8328fbe5ed8f869
https://hdl.handle.net/2128/31857
https://hdl.handle.net/2128/31857
Publikováno v:
Pattern Recognition. ICPR International Workshops and Challenges ISBN: 9783030687922
ICPR Workshops (8)
ICPR Workshops (8)
Computer-aided diagnostics is helping the medical experts for fast diagnostics, using machine learning and representation learning techniques. Various types of diagnostics are using the assistance of machine learning approaches including endoscopy. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d08c361b27d22fbb94763017a6f9341f
https://doi.org/10.1007/978-3-030-68793-9_21
https://doi.org/10.1007/978-3-030-68793-9_21
Autor:
Shahbaz Memon, Dorothée Vallot, Thomas Zwinger, Jan Åström, Helmut Neukirchen, Morris Riedel, Matthias Book
Scientific computing applications involving complex simulations and data-intensive processing are often composed of multiple tasks forming a workflow of computing jobs. Scientific communities running such applications on distributed and heterogeneous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be460b3254013c930e7b89063d4b8a05
https://www.geosci-model-dev-discuss.net/gmd-2018-158/
https://www.geosci-model-dev-discuss.net/gmd-2018-158/
Publikováno v:
IGARSS
IEEE 1128-1131 (2018). doi:10.1109/IGARSS.2018.8519364
2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, Spain, 2018-07-22-2018-07-27
IEEE 1128-1131 (2018). doi:10.1109/IGARSS.2018.8519364
2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018, Valencia, Spain, 2018-07-22-2018-07-27
The progress of remote sensing technologies leads to increased supply of high-resolution image data. However, solutions for processing large volumes of data are lagging behind: desktop computers cannot cope anymore with the requirements of macro-scal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b266f403feb78c0c644a075e47abf050
https://doi.org/10.1109/igarss.2018.8519364
https://doi.org/10.1109/igarss.2018.8519364
Autor:
Helmut Neukirchen, Daniel Dougherty, Ákos Hajnal, Marton Istvan, Matthias Book, Peter Kascuk, Shahbaz Memon, Morris Riedel, Andrew S. Grimshaw
Publikováno v:
IEEE 97-105 (2017). doi:10.1109/ICICT.2017.8320171
2017 International Conference on Information and Communication Technologies (ICICT), Karachi, Pakistan, 2017-12-30-2017-12-31
2017 International Conference on Information and Communication Technologies (ICICT), Karachi, Pakistan, 2017-12-30-2017-12-31
The XSEDE project seeks to provide “a single virtual system that scientists can use to interactively share computing resources, data and experience.” The potential compute resources in XSEDE are diverse in many dimensions, node architectures, int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be3a1dcf93a607a939224255194d7361
https://doi.org/10.1109/icict.2017.8320171
https://doi.org/10.1109/icict.2017.8320171
Publikováno v:
IGARSS
Classification of remote sensing images often use Support Vector Machines (SVMs) that require an n-fold cross-validation phase in order to do model selection. This phase is characterized by sweeping through a wide set of parameter combinations of SVM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df6f26610b0c08db002eb9bc63cdd6d2
https://doi.org/10.1109/igarss.2017.8127797
https://doi.org/10.1109/igarss.2017.8127797
Autor:
N. Attig, Borries Demeler, Gary E. Gorbet, Shahbaz Memon, Thomas Lippert, Lahiru Gunathilake, Andrew S. Grimshaw, Morris Riedel, Florian Janetzko, Raminder Singh, Suresh Marru
Publikováno v:
Concurrency and Computation: Practice and Experience. 26:2280-2291
The UltraScan data analysis application is a software package that is able to take advantage of computational resources in order to support the interpretation of analytical ultracentrifugation experiments. Since 2006, the UltraScan scientific gateway
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77606d9d8b27ccdee7f3d3344314de4c
https://doi.org/10.1002/cpe.3251
https://doi.org/10.1002/cpe.3251