Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Bogdan Czejdo"'
Autor:
Janusz Zalewski, Ingrid A. Buckley, Bogdan Czejdo, Steven Drager, Andrew J. Kornecki, Nary Subramanian
Publikováno v:
Information, Vol 7, Iss 2, p 33 (2016)
This paper addresses the challenge of measuring security, understood as a system property, of cyberphysical systems, in the category of similar properties, such as safety and reliability. First, it attempts to define precisely what security, as a sys
Externí odkaz:
https://doaj.org/article/5202f7433d094358b23cd25e07cd4f76
Autor:
Janusz Zalewski, Andrew Kornecki, Bogdan Czejdo, Fernando Gonzalez, Nary Subramanian, Dawid Trawczynski
Publikováno v:
2014 ASEE Annual Conference & Exposition Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1504af6cf98d8d05b01f7500cfe6efed
https://doi.org/10.18260/1-2--20237
https://doi.org/10.18260/1-2--20237
Autor:
Wiktor B. Daszczuk, Bogdan Czejdo
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030195007
DepCoS-RELCOMEX
DepCoS-RELCOMEX
IoT networks continuously evolve and require new theoretical and practical studies. Complex cooperation between IoT devices, based on interaction with their internal states especially needs to be based on new significant scientific solutions. To purs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6971969a3498675985507dead6faad95
https://doi.org/10.1007/978-3-030-19501-4_11
https://doi.org/10.1007/978-3-030-19501-4_11
Publikováno v:
CCWC
In this paper, we describe our protein folding research with the goal of improving protein model scoring by grouping of protein models and using an interpreter for machine learning (ML). The traditional approach is to use a handful of popular ML algo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b31725d55e29f07822e8a9b2856ffda
https://doi.org/10.1109/ccwc.2019.8666524
https://doi.org/10.1109/ccwc.2019.8666524
Autor:
Bogdan Czejdo, Michelle P. Aranha, Catherine Spooner, Julie C. Mitchell, Omar Demerdash, Jeremy C. Smith
Publikováno v:
Biochimica et Biophysica Acta (BBA) - General Subjects. 1864:129535
Selecting peptides that bind strongly to the major histocompatibility complex (MHC) for inclusion in a vaccine has therapeutic potential for infections and tumors. Machine learning models trained on sequence data exist for peptide:MHC (p:MHC) binding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49529bd8c32c9852717ca2c9273d16df
https://doi.org/10.1016/j.bbagen.2020.129535
https://doi.org/10.1016/j.bbagen.2020.129535
In this paper, we extended previous studies of cooperating autonomous robots to include situations when environmental changes and changes in the number of robots in the swarm can affect the efficiency to execute tasks assigned to the swarm of robots.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0d26897e176f46012ca02aedcfeec93
http://arxiv.org/abs/1901.00758
http://arxiv.org/abs/1901.00758
Publikováno v:
SoutheastCon 2018.
In recent years Artificial Intelligence (AI) and Machine Learning (ML) have emerged from academic labs and become prominent drivers of innovation in the high-tech industry. The number of jobs in this area has rapidly increased along with research out
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f649245052cdc97017b1cac8bb2b07ed
https://doi.org/10.1109/secon.2018.8479098
https://doi.org/10.1109/secon.2018.8479098
Publikováno v:
Warsaw University of Technology-OmegaPSIR
This paper discusses new techniques to enhance Automated Transit Networks (ATN, previously called Personal Rapid Transit - PRT) based on Artificial Intelligence tools. The main direction is improvement of the cooperation of autonomous modules that us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40c8938305a585e56e9843848a9129dc
Publikováno v:
Foundations of Computing and Decision Sciences. 38:87-96
In this presentation, we discuss how a data warehouse can support situational awareness and data forensic needs for investigation of event streams violating rules. The data warehouse for event streams can contain summary tables showing rule violation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3c1d0840213aa53410503cfbbb2df6f
https://doi.org/10.2478/fcds-2013-0001
https://doi.org/10.2478/fcds-2013-0001
Publikováno v:
International Journal of Communications, Network and System Sciences. :593-602
The challenge of achieving situational understanding is a limiting factor in effective, timely, and adaptive cyber-security analysis. Anomaly detection fills a critical role in network assessment and trend analysis, both of which underlie the establi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::321bf4ff85d25e489095b9a1cddc1789
https://doi.org/10.4236/ijcns.2012.529069
https://doi.org/10.4236/ijcns.2012.529069