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pro vyhledávání: '"Banicescu, Ioana"'
Contention resolution addresses the challenge of coordinating access by multiple processes to a shared resource such as memory, disk storage, or a communication channel. Originally spurred by challenges in database systems and bus networks, contentio
Externí odkaz:
http://arxiv.org/abs/2403.03876
Autor:
Ables, Jesse, Kirby, Thomas, Mittal, Sudip, Banicescu, Ioana, Rahimi, Shahram, Anderson, William, Seale, Maria
The current state of the art systems in Artificial Intelligence (AI) enabled intrusion detection use a variety of black box methods. These black box methods are generally trained using Error Based Learning (EBL) techniques with a focus on creating ac
Externí odkaz:
http://arxiv.org/abs/2303.17387
Autor:
Anderson, William, Moore, Kaneesha, Ables, Jesse, Mittal, Sudip, Rahimi, Shahram, Banicescu, Ioana, Seale, Maria
The Human Immune System (HIS) works to protect a body from infection, illness, and disease. This system can inspire cybersecurity professionals to design an Artificial Immune System (AIS) based Intrusion Detection System (IDS). These biologically ins
Externí odkaz:
http://arxiv.org/abs/2208.07801
Autor:
Ables, Jesse, Kirby, Thomas, Anderson, William, Mittal, Sudip, Rahimi, Shahram, Banicescu, Ioana, Seale, Maria
Modern Artificial Intelligence (AI) enabled Intrusion Detection Systems (IDS) are complex black boxes. This means that a security analyst will have little to no explanation or clarification on why an IDS model made a particular prediction. A potentia
Externí odkaz:
http://arxiv.org/abs/2207.07465
Autor:
Neupane, Subash, Ables, Jesse, Anderson, William, Mittal, Sudip, Rahimi, Shahram, Banicescu, Ioana, Seale, Maria
The application of Artificial Intelligence (AI) and Machine Learning (ML) to cybersecurity challenges has gained traction in industry and academia, partially as a result of widespread malware attacks on critical systems such as cloud infrastructures
Externí odkaz:
http://arxiv.org/abs/2207.06236
Scientific applications often contain large, computationally-intensive, and irregular parallel loops or tasks that exhibit stochastic characteristics. Applications may suffer from load imbalance during their execution on high-performance computing (H
Externí odkaz:
http://arxiv.org/abs/1910.06844
Scientific applications are often irregular and characterized by large computationally-intensive parallel loops. Dynamic loop scheduling (DLS) techniques improve the performance of computationally-intensive scientific applications via load balancing
Externí odkaz:
http://arxiv.org/abs/1804.11115
Publikováno v:
Computational Science – ICCS 2020
Applications executing in heterogeneous parallel and/or distributed computing (PDC) environments are often prone to unpredictable runtime due to variations in problem, algorithm, and system characteristics. This serves as a key motivation towards a s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmc_________::ee590a993a2cb2326db1e168cdcc44cc
http://europepmc.org/articles/PMC7302850
http://europepmc.org/articles/PMC7302850
Publikováno v:
In Journal of Computational and Applied Mathematics 2011 236(3):411-421
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