المؤلفون: Khan, Umer Amir, Khan, Noman Mujeeb, Zafar, Muhammad Hamza

المصدر: 20 ; Energy Conversion and Management: X ; 100486

مصطلحات موضوعية: VDP::Teknologi: 500

وصف الملف: application/pdf

العلاقة: Khan, U. A., Khan, N. M., Zafar, M. H. (2023). Resource efficient PV power forecasting: Transductive transfer learning based hybrid deep learning model for smart grid in Industry 5.0. Energy Conversion and Management: X, 20, Article 100486.; urn:issn:2590-1745; https://hdl.handle.net/11250/3126567Test; https://doi.org/10.1016/j.ecmx.2023.100486Test; cristin:2218966

الإتاحة: https://doi.org/10.1016/j.ecmx.2023.100486Test
https://hdl.handle.net/11250/3126567Test

المؤلفون: Gilbert, Nicolas, Costello, Andrew, Ellison, Jamie R, Khan, Umer, Knight, Mark, Linnell, Michael J, Ralphs, Robert, Mewis, Ryan E, Sutcliffe, Oliver B

وصف الملف: text

العلاقة: https://e-space.mmu.ac.uk/628354Test/; https://www.sciencedirect.com/science/article/pii/S2468170921000503Test; https://e-space.mmu.ac.uk/628354/3/Gilbert_ADBHINACA_R2.pdfTest; Gilbert, Nicolas , Costello, Andrew , Ellison, Jamie R , Khan, Umer , Knight, Mark , Linnell, Michael J , Ralphs, Robert ORCID logoorcid:0000-0001-8359-2598 , Mewis, Ryan E and Sutcliffe, Oliver B (2021) Synthesis, characterisation, detection and quantification of a novel hexyl-substituted synthetic cannabinoid receptor agonist: (S)-N-(1-amino-3,3-dimethyl-1-oxobutan-2-yl)-1-hexyl-1H-indazole-3-carboxamide (ADB-HINACA). Forensic Chemistry, 26. p. 100354. ISSN 2468-1709

الإتاحة: https://e-space.mmu.ac.uk/628354/3/Gilbert_ADBHINACA_R2.pdfTest

المؤلفون: Pittman, Jessica E., Khan, Umer, Laguna, Theresa A., Heltshe, Sonya, Goss, Christopher H., Sanders, Don B.

المساهمون: Pediatrics, School of Medicine

المصدر: PMC

مصطلحات موضوعية: Clinical trial, Cystic fibrosis, Phase III, Study design

وصف الملف: application/pdf

العلاقة: Journal of Cystic Fibrosis; Pittman JE, Khan U, Laguna TA, Heltshe S, Goss CH, Sanders DB. Rates of adverse and serious adverse events in children with cystic fibrosis. J Cyst Fibros. 2021;20(6):972-977. doi:10.1016/j.jcf.2021.02.013; https://hdl.handle.net/1805/35798Test

الإتاحة: https://doi.org/10.1016/j.jcf.2021.02.013Test
https://hdl.handle.net/1805/35798Test

المؤلفون: Bertrand, Anne, Khan, Umer, Hoang, Dung M., Novikov, Dmitry S., Krishnamurthy, Pavan, Rajamohamed Sait, Hameetha B., Little, Benjamin W., Sigurdsson, Einar M., Wadghiri, Youssef Z.

المساهمون: Algorithms, models and methods for images and signals of the human brain = Algorithmes, modèles et méthodes pour les images et les signaux du cerveau humain ICM Paris (ARAMIS), Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière AP-HP, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière AP-HP, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), CHU Pitié-Salpêtrière AP-HP, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), New York University School of Medicine (NYU), New York University School of Medicine, NYU System (NYU)-NYU System (NYU), University of Iceland Reykjavik

المصدر: ISSN: 1053-8119.

مصطلحات موضوعية: Alzeheimer's disease, MEMRI, Axonal transport, Neuronal transport, Tauopathy, [SDV.MHEP.OS]Life Sciences [q-bio]/Human health and pathology/Sensory Organs

العلاقة: hal-01439335; https://inria.hal.science/hal-01439335Test; https://inria.hal.science/hal-01439335/documentTest; https://inria.hal.science/hal-01439335/file/neuroimage.pdfTest

الإتاحة: https://doi.org/10.1016/j.neuroimage.2012.08.065Test
https://inria.hal.science/hal-01439335Test
https://inria.hal.science/hal-01439335/documentTest
https://inria.hal.science/hal-01439335/file/neuroimage.pdfTest

المؤلفون: Khan, Umer, Schmidt-Thieme, Lars, Nanopoulos, Alexandros

العلاقة: Khan, Umer; Schmidt-Thieme, Lars; Nanopoulos, Alexandros : Collaborative SVM classification in scale-free peer-to-peer networks. In: Expert Systems with Applications : an international journal. 69 (2017). - S. 74-86. ISSN 0957-4174; 2590-1885 10.1016/j.eswa.2016.10.008 (Peer-Review-Journal)

الإتاحة: https://doi.org/10.1016/j.eswa.2016.10.008Test
https://edoc.ku.de/id/eprint/32670Test/

المؤلفون: Behrens, Thorsten, Browne, Brian, Dubrawsky, Ido, Kligerman, Daniel, Sweeney, Michael, Riley, Charles, Khan, Umer

المصدر: Cisco PIX Firewalls ; page 1-40

الإتاحة: https://doi.org/10.1016/b978-159749004-7/50005-4Test

المؤلفون: Behrens, Thorsten, Browne, Brian, Dubrawsky, Ido, Kligerman, Daniel, Sweeney, Michael, Riley, Charles, Khan, Umer

المصدر: Cisco PIX Firewalls ; page 41-111

الإتاحة: https://doi.org/10.1016/b978-159749004-7/50006-6Test

المؤلفون: Behrens, Thorsten, Browne, Brian, Dubrawsky, Ido, Kligerman, Daniel, Sweeney, Michael, Riley, Charles, Khan, Umer

المصدر: Cisco PIX Firewalls ; page 447-476

الإتاحة: https://doi.org/10.1016/b978-159749004-7/50015-7Test

المؤلفون: Behrens, Thorsten, Browne, Brian, Dubrawsky, Ido, Kligerman, Daniel, Sweeney, Michael, Riley, Charles, Khan, Umer

المصدر: Cisco PIX Firewalls ; page 309-350

الإتاحة: https://doi.org/10.1016/b978-159749004-7/50012-1Test

المؤلفون: Behrens, Thorsten, Browne, Brian, Dubrawsky, Ido, Kligerman, Daniel, Sweeney, Michael, Riley, Charles, Khan, Umer

المصدر: Cisco PIX Firewalls ; page 401-446

الإتاحة: https://doi.org/10.1016/b978-159749004-7/50014-5Test