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Academic Articles & Research Papers
Showing 20 of 1,623 academic articles
Scott R. Boss, Joy Gray, Diane Joyce Janvrin • Issues in Accounting Education
(2022)
ABSTRACT In today's business world, it is essential that accountants be concerned about cybersecurity in their organizations and in the work they perform. Despite increasing importance as well as regulatory and professional emphasis, most a...
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DOI: https://doi.org/10.2308/issues-2021-001
Jon R. Lindsay • International Security
(2015)
Exaggerated fears about the paralysis of digital infrastructure and the loss of competitive advantage contribute to a spiral of mistrust in U.S.-China relations. In every category of putative Chinese cyber threat, there are also considerabl...
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Open Access
DOI: https://doi.org/10.1162/isec_a_00189
Bo Yan, Cheng Hong Yang, Chuan Shi, Yong Fang et al. • ACM Transactions on Knowledge Discovery from Data
(2023)
The explosive growth of cyber attacks today, such as malware, spam, and intrusions, has caused severe consequences on society. Securing cyberspace has become a great concern for organizations and governments. Traditional machine learning ba...
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Open Access
DOI: https://doi.org/10.1145/3610228
Benoît Dupont, Chad Whelan • Journal of Criminology
(2021)
‘Cybercrime’ is an umbrella concept used by criminologists to refer to traditional crimes that are enhanced via the use of networked technologies (i.e. cyber-enabled crimes) and newer forms of crime that would not exist without networked te...
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DOI: https://doi.org/10.1177/00048658211003925
Pan Singh Dhoni, Ravinder Kumar (2023)
The digital landscape of the modern world has witnessed a remarkable evolution over the past few decades, with technological advancements permeating every facet of our lives. While these innovations have brought forth unprecedented convenie...
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DOI: https://doi.org/10.36227/techrxiv.23968809.v1
Florian J. Egloff (2022)
Abstract What does the global telecommunications company Huawei, a hacking-for-hire outfit in India, and Russian cyber criminals have in common? They all share a special relationship to the state, which significantly shapes the politics of ...
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DOI: https://doi.org/10.1093/oso/9780197579275.001.0001
Leslie F. Sikos • Knowledge and Information Systems
(2023)
Abstract Cybersecurity knowledge graphs, which represent cyber-knowledge with a graph-based data model, provide holistic approaches for processing massive volumes of complex cybersecurity data derived from diverse sources. They can assist s...
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DOI: https://doi.org/10.1007/s10115-023-01860-3
Ben Buchanan • Oxford University Press eBooks
(2017)
Why do nations break into one another's most important computer networks? There is an obvious answer: to steal valuable information or to attack. But this isn't the full story. This book draws on often-overlooked documents leaked by Edward ...
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DOI: https://doi.org/10.1093/acprof:oso/9780190665012.001.0001
Abdalmuttaleb M. A. Musleh Al-Sartawi • International Journal of Critical Infrastructures
(2020)
Security breaches are very costly in the USA, followed very closely by the Middle East. Shareholders and investors demand that their firms mitigate all kinds of risks, and it is the responsibility of the BOD to gain and maintain their confi...
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DOI: https://doi.org/10.1504/ijcis.2020.10029173
R. Glen Donaldson, Mark J. Kamstra • Journal of Forecasting
(1996)
This paper investigates the use of Artificial Neural Networks (ANNs) to combine time series forecasts of stock market volatility from the USA, Canada, Japan and the UK. We demonstrate that combining with nonlinear ANNs generally produces fo...
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DOI: https://doi.org/10.1002/(sici)1099-131x(199601)15:1<49::aid-for604>3.0.co;2-2
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) ...
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DOI: https://doi.org/10.1002/047084535x
Richard J. Mammone (1994)
Neural Networks for speech processing. Neural Networks in the acquisition of speech by machine. The nervous system - fantasy and reality. Processing of complex stimuli in the mammalian cochlear nucleus. On the possible role of auditory peri...
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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
Stephan Rasp, Sebastian Lerch • Monthly Weather Review
(2018)
Abstract Ensemble weather predictions require statistical postprocessing of systematic errors to obtain reliable and accurate probabilistic forecasts. Traditionally, this is accomplished with distributional regression models in which the pa...
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other-oa
DOI: https://doi.org/10.1175/mwr-d-18-0187.1
Gavin Taylor • John Wiley & Sons, Inc. eBooks
(1996)
From the Publisher:
The chapters in this volume are an indication of the vigour and strength of the subject of neural networks in solving hard problems. They also indicate how the subject is giving new insights and developing new relations...
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Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner et al. • IEEE Transactions on Neural Networks
(2008)
Many underlying relationships among data in several areas of science and engineering, e.g., computer vision, molecular chemistry, molecular biology, pattern recognition, and data mining, can be represented in terms of graphs. In this paper,...
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Open Access
DOI: https://doi.org/10.1109/tnn.2008.2005605
(1995)
A general introduction to the subject of artificial neural networks is given and the tenuous relationship of neural networks to the biological neuron structure of the brain is also briefly outlined. The development of artificial neural netw...
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DOI: https://doi.org/10.1109/etd.1995.403491
David Faraggi, Richard M Simon • Statistics in Medicine
(1995)
Neural networks have received considerable attention recently, mostly by non-statisticians. They are considered by many to be very promising tools for classification and prediction. In this paper we present an approach to modelling censored...
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DOI: https://doi.org/10.1002/sim.4780140108
Yifan Feng, Haoxuan You, Zizhao Zhang, Rongrong Ji et al. • Proceedings of the AAAI Conference on Artificial Intelligence
(2019)
In this paper, we present a hypergraph neural networks (HGNN) framework for data representation learning, which can encode high-order data correlation in a hypergraph structure. Confronting the challenges of learning representation for comp...
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Open Access
DOI: https://doi.org/10.1609/aaai.v33i01.33013558
Yinying Wang • Journal of Educational Administration
(2021)
Purpose Artificial intelligence (AI) refers to a type of algorithms or computerized systems that resemble human mental processes of decision-making. This position paper looks beyond the sensational hyperbole of AI in teaching and learning. ...
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DOI: https://doi.org/10.1108/jea-10-2020-0216