Zobrazeno 1 - 10
of 313
pro vyhledávání: '"Nader Bagherzadeh"'
Autor:
Mohammed Alnemari, Nader Bagherzadeh
Publikováno v:
Applied Sciences, Vol 14, Iss 20, p 9354 (2024)
This paper proposes the “ultimate compression” method as a solution to the expansive computation and high storage costs required by state-of-the-art neural network models in inference. Our approach uniquely combines tensor decomposition technique
Externí odkaz:
https://doaj.org/article/0332db16ecea414a8552b11359d2979a
Publikováno v:
IET Quantum Communication, Vol 3, Iss 1, Pp 1-4 (2022)
Abstract Quantum Computing has emerged as one of the important dimensions of global research lately, on both the prospects, hardware as well as algorithms. With enhanced processing powers, several architectures based on adiabatic concepts resulting i
Externí odkaz:
https://doaj.org/article/4404a327d1f040d989a76cc7095533f3
Publikováno v:
Computer Methods and Programs in Biomedicine Update, Vol 3, Iss , Pp 100100- (2023)
Hypotension frequently occurs in intensive care units (ICUs) and is correlated to worsening patient outcomes. In this study, we propose a machine learning (ML) algorithm that predicts hypotensive events in ICUs by extracting the information from pati
Externí odkaz:
https://doaj.org/article/93a5e2e8fc124f0bb2847269dc870f83
Publikováno v:
Machine Learning with Applications, Vol 9, Iss , Pp 100381- (2022)
Destruction caused by violent conflicts play a big role in understanding the dynamics and consequences of conflicts, which is now the focus of a large body of ongoing literature in economics and political science. However, existing data on conflict l
Externí odkaz:
https://doaj.org/article/b8f08dd648e145e88a7628c41f0b2fba
Publikováno v:
PeerJ Computer Science, Vol 8, p e924 (2022)
This paper proposes a storage-efficient ensemble classification to overcome the low inference accuracy of binary neural networks (BNNs). When external power is enough in a dynamic powered system, classification results can be enhanced by aggregating
Externí odkaz:
https://doaj.org/article/2917d87656114d8aa18dbf8e98d51f77
Publikováno v:
IEEE Access, Vol 8, Pp 33101-33112 (2020)
Source-throttling algorithms aim at adjusting network load appropriately so that high network throughput can be maintained and latency can be decreased efficiently. One challenge of designing a source-throttling algorithm is how to precisely evaluate
Externí odkaz:
https://doaj.org/article/dc2113a7c0804a319a19c77a29bb3e8c
Autor:
Mahdi Torabzadehkashi, Siavash Rezaei, Ali HeydariGorji, Hosein Bobarshad, Vladimir Alves, Nader Bagherzadeh
Publikováno v:
Journal of Big Data, Vol 6, Iss 1, Pp 1-29 (2019)
Abstract In the era of big data applications, the demand for more sophisticated data centers and high-performance data processing mechanisms is increasing drastically. Data are originally stored in storage systems. To process data, application server
Externí odkaz:
https://doaj.org/article/eece7cf51eb8484a87dc7b2ab48d18cc
Publikováno v:
Results in Physics, Vol 7, Iss , Pp 3543-3551 (2017)
Nanotechnologies, notably quantum-dot cellular automata, have achieved major attentions for their prominent features as compared to the conventional CMOS circuitry. Quantum-dot cellular automata, particularly owning to its considerable reduction in s
Externí odkaz:
https://doaj.org/article/a2974869dcf24c50ad76ea6f5c50c170
Publikováno v:
IEEE Transactions on Emerging Topics in Computing. :1-12
Autor:
Min Soo Kim, Raul Murillo, Alberto A. Del Barrio, Nader Bagherzadeh, Guillermo Botella, HyunJin Kim
Publikováno v:
IEEE Transactions on Emerging Topics in Computing. 10:2079-2085
The Posit Number System was introduced in 2017 as a replacement for floating-point numbers. Since then, the community has explored its application in Neural Network related tasks and produced some unit designs which are still far from being competiti