E-LIB Suche - Ergebnisse für: Elgohary, Ahmed

1

An Efficient Hardware Implementation of CNN Generic Process..:

, In: 2023 5th Novel Intelligent and Leading Emerging Sciences Conference (NILES),

Elgohary, Ahmed ; Nasr, Omar A. - p. 217-221 , 2023

Link: https://doi.org/10.1109/..

2

Geoengineering characteristics modeling of Eocene limestone..:

Elgohary, Ahmed ; Saad, Ahmed M. ; Sakr, Mohamed A. H..
Environmental Earth Sciences. 81 (2022) 3 - p. , 2022

Link: https://doi.org/10.1007/..

3

Covid Pneumonitis Presenting as Intractable Hiccups:

Ezeigwe, Obinna ; Hayat, Khizar ; Elgohary, Ahmed.
International Journal of Clinical Medicine. 13 (2022) 5 - p. 199-203 , 2022

Link: https://doi.org/10.4236/..

4

Effects of comorbid disorders on reward processing and conn..:

Grimm, Oliver ; van Rooij, Daan ; Tshagharyan, Asya...
Translational Psychiatry. 11 (2021) 1 - p. , 2021

Link: https://doi.org/10.1038/..

5

Noise Reduction in Reset Domain Crossings Verification Usin..:

, In: 2020 IEEE East-West Design & Test Symposium (EWDTS),

Fawzy, Mohamed ; Elgohary, Ahmed ; Ibrahim, Hala - p. 1-5 , 2020

Link: https://doi.org/10.1109/..

6

Fabrication of sealed sapphire microfluidic devices using f..:

Elgohary, Ahmed ; Block, Erica ; Squier, Jeff...
Applied Optics. 59 (2020) 30 - p. 9285 , 2020

Link: https://doi.org/10.1364/..

7

Compressed linear algebra for declarative large-scale machi..:

Elgohary, Ahmed ; Boehm, Matthias ; Haas, Peter J...
Communications of the ACM. 62 (2019) 5 - p. 83-91 , 2019

Link: https://doi.org/10.1145/..

8

Compressed linear algebra for declarative large-scale machi..:

Elgohary, Ahmed ; Boehm, Matthias ; Haas, Peter J...
Communications of the ACM. 62 (2019) 5 - p. 83-91 , 2019

Link: https://dl.acm.org/doi/1..

9

Scaling Machine Learning via Compressed Linear Algebra:

Elgohary, Ahmed ; Boehm, Matthias ; Haas, Peter J...
ACM SIGMOD Record. 46 (2017) 1 - p. 42-49 , 2017

Link: https://dl.acm.org/doi/1..

10

Compressed linear algebra for large-scale machine learning:

Elgohary, Ahmed ; Boehm, Matthias ; Haas, Peter J...
The VLDB Journal. 27 (2017) 5 - p. 719-744 , 2017

Link: https://doi.org/10.1007/..

11

Scaling Machine Learning via Compressed Linear Algebra:

Elgohary, Ahmed ; Boehm, Matthias ; Haas, Peter J...
ACM SIGMOD Record. 46 (2017) 1 - p. 42-49 , 2017

Link: https://doi.org/10.1145/..

12

Compressed linear algebra for large-scale machine learning:

Elgohary, Ahmed ; Boehm, Matthias ; Haas, Peter J...
Proceedings of the VLDB Endowment. 9 (2016) 12 - p. 960-971 , 2016

Link: https://doi.org/10.14778..

13

Compressed linear algebra for large-scale machine learning:

Elgohary, Ahmed ; Boehm, Matthias ; Haas, Peter J...
Proceedings of the VLDB Endowment. 9 (2016) 12 - p. 960-971 , 2016

Link: https://dl.acm.org/doi/1..

14

Greedy column subset selection for large-scale data sets:

Farahat, Ahmed K. ; Elgohary, Ahmed ; Ghodsi, Ali.
Knowledge and Information Systems. 45 (2014) 1 - p. 1-34 , 2014

Link: https://doi.org/10.1007/..

15

Video : Unsupervised indoor localization (UnLoc): beyond..:

, In: Proceedings of the 12th annual international conference on Mobile systems, applications, and services,

Wang, He ; Sen, Souvik ; Mariakakis, Alex... - p. 393 ff. , 2014

Link: https://dl.acm.org/doi/1..