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Academic Articles & Research Papers
Showing 20 of 626 academic articles
John A. Hamilton, David A. Nash, Udo W. Pooch • CRC Press eBooks
(2020)
Multiple processor systems may be divided into two general categories: parallel processors (multiprocessors) and distributed systems (multicomputers). The distributed simulations, that is, simulations implemented over distributed systems. P...
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DOI: https://doi.org/10.1201/9781003067849-5
Pedro Pablo Cárdenas Alzate, Jaime Alberto Echeverri Franco, Jacobo Echeverri Hoyos • Epidemiologia
(2026)
Background/Objectives: Cholera remains a major public health problem, particularly in regions with limited access to safe drinking water and sanitation. Traditional compartmental models may underrepresent adaptive human behavioral responses...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/epidemiologia7050142
S. Srinivasan, Niraj Kumar Jha • IEEE Transactions on Parallel and Distributed Systems
(1999)
Distributed computer systems are increasingly being employed for critical applications, such as aircraft control, industrial process control, and banking systems. Maximizing performance has been the conventional objective in the allocation ...
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DOI: https://doi.org/10.1109/71.755824
Bengt Jönsson • ACM Transactions on Programming Languages and Systems
(1994)
We present a method for specification and verification of distributed systems that communicate via asynchronous message passing. The method handles both safety and liveness properties. It is compositional, i.e., a specification of a composi...
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Open Access
DOI: https://doi.org/10.1145/174662.174665
M. Amouroux, A. El Jai, El Hassan Zerrik • International Journal of Systems Science
(1994)
The aim of this paper is to develop the concept of regional observability for distributed systems. This original concept is closer to practical considerations since it only requires the observation of the state on a given subregion. We show...
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DOI: https://doi.org/10.1080/00207729408928961
Eric Hatleback • The Journal of Defense Modeling and Simulation Applications Methodology Technology
(2017)
I argue that marking a proper distinction between two types of research in the cybersecurity field obviates the present debate concerning a “science of cybersecurity.” Once the terminology has been properly disambiguated, the accurate descr...
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cc-by-nc
DOI: https://doi.org/10.1177/1548512917737635
Dipankar Dasgupta, Zahid Akhtar, Sajib Sen • The Journal of Defense Modeling and Simulation Applications Methodology Technology
(2020)
Today’s world is highly network interconnected owing to the pervasiveness of small personal devices (e.g., smartphones) as well as large computing devices or services (e.g., cloud computing or online banking), and thereby each passing minut...
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DOI: https://doi.org/10.1177/1548512920951275
Chee‐Wooi Ten, Junho Hong, Chen‐Ching Liu • IEEE Transactions on Smart Grid
(2011)
Cybersecurity of the substations in a power system is a major issue as the substations become increasingly dependent on computer and communication networks. This paper is concerned with anomaly detection in the computer network environment ...
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DOI: https://doi.org/10.1109/tsg.2011.2159406
Chee‐Wooi Ten, Chen‐Ching Liu, Manimaran Govindarasu • IEEE Transactions on Power Systems
(2008)
Vulnerability assessment is a requirement of NERC's cybersecurity standards for electric power systems. The purpose is to study the impact of a cyber attack on supervisory control and data acquisition (SCADA) systems. Compliance of the requ...
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DOI: https://doi.org/10.1109/tpwrs.2008.2002298
Ben D. Sawyer, Peter A. Hancock • Human Factors The Journal of the Human Factors and Ergonomics Society
(2018)
OBJECTIVE: This work assesses the efficacy of the "prevalence effect" as a form of cyberattack in human-automation teaming, using an email task. BACKGROUND: Under the prevalence effect, rare signals are more difficult to detect, even when t...
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Open Access
DOI: https://doi.org/10.1177/0018720818780472
Mohammad S. Jalali, Jessica Kaiser • Journal of Medical Internet Research
(2018)
BACKGROUND: Cybersecurity incidents are a growing threat to the health care industry in general and hospitals in particular. The health care industry has lagged behind other industries in protecting its main stakeholder (ie, patients), and ...
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DOI: https://doi.org/10.2139/ssrn.3100364
PMC: 5996174
Kumpati S. Narendra, Snehasis Mukhopadhyay • IEEE Conference on Decision and Control (CDC)
(2005)
Some of the problems that arise in the control of nonlinear systems in the presence of uncertainty are considered. Multilayer neural networks and radial basis function networks are used in the design of identifiers and controllers, and grad...
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DOI: https://doi.org/10.1109/cdc.1992.371803
Qeethara Kadhim Al-Shayea (2011)
Artificial neural networks are finding many uses in the medical diagnosis application. The goal of this paper is to evaluate artificial neural network in disease diagnosis. Two cases are studied. The first one is acute nephritis disease; da...
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M.J. Willis, Christine Di Massimo, Gary A. Montague, Ming T. Tham et al. • IEE Proceedings D Control Theory and Applications
(1991)
Artificial neural networks are made up of highly interconnected layers of simple ‘neuron-like’ nodes. The neurons act as nonlinear processing elements within the network. An attractive property of artificial neural networks is that, given t...
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DOI: https://doi.org/10.1049/ip-d.1991.0036
Gene A. Tagliarini, John Fury Christ, Edward W. Page • IEEE Transactions on Computers
(1991)
The design of feedback (or recurrent) neural networks to produce good solutions to complex optimization problems is discussed. The theoretical basis for applying neural networks to optimization problems is reviewed, and a design rule that s...
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DOI: https://doi.org/10.1109/12.106220
S. Reynold Chu, Rahmat A. Shoureshi, Manoel Fernando Tenorio • IEEE Control Systems Magazine
(1990)
Two approaches are presented for utilization of neural networks in identification of dynamical systems. In the first approach, a Hopfield network is used to implement a least-squares estimation for time-varying and time-invariant systems. T...
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DOI: https://doi.org/10.1109/37.55121
Byoung S. Kim, Anthony J. Calise • Journal of Guidance Control and Dynamics
(1997)
The theoretical developmentofa direct adaptivetracking controlarchitectureusingneuralnetworks ispresented. Emphasis is placed on utilization of neural networks in a ight control architecture based on feedback linearization of the aircraft...
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DOI: https://doi.org/10.2514/2.4029
Stefano Nolfi, Domenico Parisi, Jeffrey L. Elman • Adaptive Behavior
(1994)
This article describes simulations on populations of neural networks that both evolve at the population level and learn at the individual level. Unlike other simulations, the evolutionary task (finding food in the environment) and the learn...
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DOI: https://doi.org/10.1177/105971239400300102
Dana H. Ballard • National Conference on Artificial Intelligence
(1987)
In the development of large-scale knowledge networks much recent progress has been inspired by connections to neurobiology. An important component of any neural network is an accompanying learning algorithm. Such an algorithm, to be biologi...
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Abhay B. Bulsari • Elsevier eBooks
(1995)
Part 1 Theoretical issues: an introduction to artificial neural networks, D.T. Pham unsupervised neural learning, E. Oja back-propagation and its variations, D. Tsaptsinos the general approximation problem for feed-forward neural networks, ...
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