Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Mohamed Ebraheem"'
Autor:
Ruth Bahr, James Anibal, Steven Bedrick, Jean-Christophe Bélisle-Pipon, Yael Bensoussan, Nate Blaylock, Joris Castermans, Keith Comito, David Dorr, Greg Hale, Christie Jackson, Andrea Krussel, Kimberly Kuman, Akash Raj Komarlu, Jordan Lerner-Ellis, Maria Powell, Vardit Ravitsky, Anaïs Rameau, Charlie Reavis, Alexandros Sigaras, Samantha Salvi Cruz, Jenny Vojtech, Megan Urbano, Stephanie Watts, Robin Zhao, Jamie Toghranegar, the Bridge2AI-Voice Consortium, Olivier Elemento, Satrajit Ghosh, Jean Christophe Belisle-Pipon, Phillip Payne, Alistair Johnson, Donald Bolser, Frank Rudzicz, Jordan Lerner Ellis, Kathy Jenkins, Shaheen Awan, Micah Boyer, Bill Hersh, Toufeeq Ahmed Syed, Duncan Sutherland, Enrique Diaz-Ocampo, Elizabeth Silberhoz, John Costello, Alexander Gelbard, Kimberly Vinson, Tempestt Neal, Lochana Jayachandran, Evan Ng, Selina Casalino, Yassmeen Abdel-Aty, Karim Hanna, Theresa Zesiewicz, Elijah Moothedan, Emily Evangelista, Mohamed Ebraheem, Karlee Newberry, Iris De Santiago, Ellie Eiseman, JM Rahman, Stacy Jo, Anna Goldenberg
Publikováno v:
Frontiers in Digital Health, Vol 6 (2024)
IntroductionThe 2024 Voice AI Symposium, presented by the Bridge2AI-Voice Consortium, featured deep-dive educational workshops conducted by experts from diverse fields to explore the latest advancements in voice biomarkers and artificial intelligence
Externí odkaz:
https://doaj.org/article/d0c3fa2244264c528b00ef241449f74b
Publikováno v:
Arabian Journal of Geosciences. 16
Besides nitrate deposits located in the Atacama Desert of Chile and the Mojave Desert of California, the present work documents, for the first time, the occurrence of potassium nitrate as oval-suboval-shaped aggregations associated with the Late Maas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8691e190169c82bed809585cee3adb6c
https://doi.org/10.1007/s12517-023-11360-x
https://doi.org/10.1007/s12517-023-11360-x
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031063930
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::346f3636407caba76f736bc5f3b669fb
https://doi.org/10.1007/978-3-031-06394-7_59
https://doi.org/10.1007/978-3-031-06394-7_59
Autor:
Qurashi Mohamed Ali, Asim Mohammed Abdalla, Mohamed Ebraheem, Heitham Muteakil Mohammed, Ali Gad Karim A Salih, Abulqasim M. B. Sideeg, Tarig Gasim Mohamed Alarabi, Nidal Abubaker Harun
Publikováno v:
International Journal of Morphology. 37:1038-1045
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d627d772c09c0b5524cf794bd611c0ec
https://doi.org/10.4067/s0717-95022019000301038
https://doi.org/10.4067/s0717-95022019000301038
Publikováno v:
FG
This paper presents a proof-of-concept demonstrating the feasibility of global (non-person specific) mood classification using smartphone data. We employed a publicly available dataset consisting of six weeks of phone activity data. It included call,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2f52a8acf127cdc7cca380b85068756
https://doi.org/10.1109/fg47880.2020.00105
https://doi.org/10.1109/fg47880.2020.00105
Autor:
Bushra Hussein A. Malik, Moawia Gameraddin, Mohamed Ebraheem, Qurashi Mohamed Ali, Awadia Gareeballah
Publikováno v:
Journal of Health Research and Reviews. 5:142
Background: Fetal foot length (FFL) is a biometric parameter that has been established for estimating the gestational age (GA). Accurate knowledge of fetal weight (FW) and GA assist Clinicians in the evaluation of fetal growth and predict neonatal ou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2ef31d71158a46478611b13d66f526c
https://doi.org/10.4103/jhrr.jhrr_23_18
https://doi.org/10.4103/jhrr.jhrr_23_18
Publikováno v:
MEJ. Mansoura Engineering Journal. 24:1-10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2173359eaa90a609e70d539b374ac032
https://doi.org/10.21608/bfemu.2021.147357
https://doi.org/10.21608/bfemu.2021.147357