Showing 20 of 829 academic articles
(2014)
Certain commercial entities, equipment,...
OPENALEX
DOI: https://doi.org/10.6028/nist.ir.7628r1
Fernando Luís Almeida • Future Internet
(2023)
The complex and interconnected infrastructure of smart cities offers several opportunities for attackers to exploit vulnerabilities and carry out cyberattacks that can have serious consequences for the functioning of cities’ critical infras...
OPENALEX
cc-by
DOI: https://doi.org/10.3390/fi15090285
Jelena Mirković, Terry Benzel • IEEE Security & Privacy
(2012)
The DETER project aims to advance cybersecurity research and education. Over the past seven years, the project has focused on improving and redefining the methods, technology, and infrastructure for developing cyberdefense technology. The p...
OPENALEX
DOI: https://doi.org/10.1109/msp.2012.23
Priyanka Mahesh, Akash Tiwari, Chenglu Jin, P. R. Kumar et al. • Proceedings of the IEEE
(2020)
The Industry 4.0 concept promotes a digital manufacturing (DM) paradigm that can enhance quality and productivity, which reduces inventory and the lead time for delivering custom, batch-of-one products based on achieving convergence of addi...
OPENALEX
cc-by
DOI: https://doi.org/10.1109/jproc.2020.3032074
Carol Hawk, Akhlesh Kaushiva • The Electricity Journal
(2014)
Reliability remains a fundamental principle of grid modernization efforts, but in today's world, reliability requires cybersecurity. This article discusses energy sector partnerships that are designing cybersecurity into the smart grid with...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.1016/j.tej.2014.08.008
Junjian Qi, Adam Hahn, Xiaonan Lu, Jianhui Wang et al. • IET Cyber-Physical Systems Theory & Applications
(2016)
The increased penetration of distributed energy resources (DER) will significantly increase the number of devices that are owned and controlled by consumers and third‐parties. These devices have a significant dependency on digital communica...
OPENALEX
cc-by-nc
DOI: https://doi.org/10.1049/iet-cps.2016.0018
Nir Kshetri • Markets Globalization & Development Review
(2016)
While scholars and policymakers have realized the importance of information and communication technologies in economic development, relatively less attention has been given to the role of cybersecurity. This research sheds light on issues a...
OPENALEX
cc-by
DOI: https://doi.org/10.23860/mgdr-2016-01-02-03
Žiga Turk, Borja García de Soto, Bharadwaj R. K. Mantha, Abel Maciel et al. • Automation in Construction
(2021)
Today, the built environment is designed, built, and managed using digital technology, making it increasingly exposed to cyber security risks. Cybersecurity is a general topic, and the construction sector has been borrowing general solution...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.1016/j.autcon.2021.103988
Vipin Kumar • IEEE Distributed Systems Online
(2005)
Parallel and distributed data mining offer great promise for addressing cybersecurity. The Minnesota Intrusion Detection System can detect sophisticated cyberattacks on large-scale networks that are hard to detect using signature-based syst...
OPENALEX
DOI: https://doi.org/10.1109/mdso.2005.53
Dietmar P. F. Möller • Advances in information security
(2023)
OPENALEX
DOI: https://doi.org/10.1007/978-3-031-26845-8_1
Matthieu Courbariaux, Itay Hubara, Daniel Soudry, Ran El‐Yaniv et al. • arXiv (Cornell University)
(2016)
We introduce a method to train Binarized Neural Networks (BNNs) - neural networks with binary weights and activations at run-time. At training-time the binary weights and activations are used for computing the parameters gradients. During t...
OPENALEX
Open Access
DOI: https://doi.org/10.48550/arxiv.1602.02830
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...
OPENALEX
DOI: https://doi.org/10.1109/cdc.1992.371803
Mark A. Kramer • Computers & Chemical Engineering
(1992)
OPENALEX
DOI: https://doi.org/10.1016/0098-1354(92)80051-a
Jonas Sigfrid Sjoberg, Håkan Hjalmarsson, Lennart Ljung A • IFAC Proceedings Volumes
(1994)
OPENALEX
Open Access
DOI: https://doi.org/10.1016/s1474-6670(17)47737-8
R. Daniel VanLuchene, ROUFEI SUN • Computer-Aided Civil and Infrastructure Engineering
(1990)
In the past few years literature on computational civil engineering has concentrated primarily on artificial intelligence (Al) applications involving expert system technology. This article discusses a different Al approach involving neural ...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.1111/j.1467-8667.1990.tb00377.x
Nachimuthu Karunanithi, Darrell Whitley, Yashwant K. Malaiya • IEEE Software
(1992)
It is shown that neural network reliability growth models have a significant advantage over analytic models in that they require only failure history as input and not assumptions about either the development environment or external paramete...
OPENALEX
DOI: https://doi.org/10.1109/52.143107
Pierre Baldi, Yves Chauvin • Neural Computation
(1993)
After collecting a data base of fingerprint images, we design a neural network algorithm for fingerprint recognition. When presented with a pair of fingerprint images, the algorithm outputs an estimate of the probability that the two images...
OPENALEX
DOI: https://doi.org/10.1162/neco.1993.5.3.402
Hongsik Jeong, Luping Shi • Journal of Physics D Applied Physics
(2018)
Abstract Neural network technologies have taken center stage owing to their powerful computing capability for supporting deep learning in artificial intelligence. However, conventional synaptic devices such as SRAM and DRAM are not satisfac...
OPENALEX
cc-by
DOI: https://doi.org/10.1088/1361-6463/aae223
Danilo P. Mandic, Jonathon A. Chambers • Wiley eBooks
(2001)
New technologies in engineering, physics and biomedicine are demanding increasingly complex methods of digital signal processing. By presenting the latest research work the authors demonstrate how real-time recurrent neural networks (RNNs) ...
OPENALEX
DOI: https://doi.org/10.1002/047084535x
T. Sorsa, Heikki N. Koivo, Hannu J. Koivisto • IEEE Transactions on Systems Man and Cybernetics
(1991)
Fault detection and diagnosis is an important problem in process automation. Both model-based methods and expert systems have been suggested to solve the problem, along with the pattern recognition approach. A number of possible neural netw...
OPENALEX
DOI: https://doi.org/10.1109/21.108299