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Academic Articles & Research Papers
Showing 20 of 675 academic articles
• Journal of Materials Chemistry
(2009)
Molecular spintronics is a new and emergent sub-area of spintronics that can benefit from achievements in molecular electronics and molecular magnetism. This issue highlights the current trends and challenging goals of this area: from the d...
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DOI: https://doi.org/10.1039/b901955n
Christopher R. Bearman, Susannah B. F. Paletz, Judith M. Orasanu, Matthew J. W. Thomas • Human Factors The Journal of the Human Factors and Ergonomics Society
(2010)
OBJECTIVE: This article aims to explore the nature and resolution of breakdowns in coordinated decision making in distributed safety-critical systems. BACKGROUND: In safety-critical domains, people with different roles and responsibilities ...
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Open Access
DOI: https://doi.org/10.1177/0018720810372104
Gianpaolo Cugola, Elisabetta Di Nitto, Alfonso Fuggetta (1998)
The development of complex distributed systems demands for the creation of suitable architectural styles (or paradigms) and related run-time infrastructures. An emerging style that is receiving increasing attention is based on the notion of...
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DOI: https://doi.org/10.5555/302163.302189
Masoud Mansouri-Samani, Morris S. Sloman • IEEE Network
(1993)
It is suggested that a functional model of monitoring in terms of the generation, processing, dissemination, and presentation of information can help determine the facilities needed to design and construct distributed systems. Implementatio...
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DOI: https://doi.org/10.1109/65.244791
Yichuan Jiang • IEEE Transactions on Parallel and Distributed Systems
(2015)
In past decades, significant attention has been devoted to the task allocation and load balancing in distributed systems. Although there have been some related surveys about this subject, each of which only made a very preliminary review on...
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DOI: https://doi.org/10.1109/tpds.2015.2407900
Aysha Ebrahim Abdulla, Omer Bin Hussain, Numa Fatima • International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)
(2024)
Cybersecurity is not just making lede in news but is also attracting more attention than ever before among businesses, industries, academicians, and the common users. As the adversaries flourish the frequency of cyberattacks have increased ...
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DOI: https://doi.org/10.1109/acdsa59508.2024.10467741
Eneken Tikk, Kerttunen, Mika • Routledge eBooks
(2020)
The Routledge Handbook of International Cybersecurity examines the development and use of information and communication technologies (ICTs) from the perspective of international peace and security. Acknowledging that the very notion of peac...
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cc-by-nc-nd
DOI: https://doi.org/10.4324/9781351038904
George W. Clark, Michael Doran, Todd R. Andel • IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)
(2017)
Cybersecurity is not highly prioritized during the design and manufacture of robots. As with other embedded systems a higher priority is placed on development costs and delivering functionality to consumers. In the future greater attention ...
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DOI: https://doi.org/10.1109/cogsima.2017.7929597
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
George Kostopoulos • Auerbach Publications eBooks
(2012)
Based on related courses and research on the cyber environment in Europe, the United States, and Asia, Cyberspace and Cybersecurity supplies complete coverage of cyberspace and cybersecurity. It not only emphasizes technologies but also pay...
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DOI: https://doi.org/10.1201/b12526
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...
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DOI: https://doi.org/10.23860/mgdr-2016-01-02-03
Eric C. K. Cheng, Tianchong Wang • Information
(2022)
Cybersecurity threats have grown exponentially, posing a heavy burden on organisations. Higher Education Institutions (HEIs) are particularly vulnerable, and their cybersecurity issues are receiving greater attention. However, existing rese...
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DOI: https://doi.org/10.3390/info13040192
Peratham Wiriyathammabhum, Douglas A. Summers-Stay, Cornelia M. Fermuller, Yiannis Aloimonos • ACM Computing Surveys
(2016)
Integrating computer vision and natural language processing is a novel interdisciplinary field that has received a lot of attention recently. In this survey, we provide a comprehensive introduction of the integration of computer vision and ...
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DOI: https://doi.org/10.1145/3009906
Yang Liu, Meng Zhang • Computational Linguistics
(2017)
Deep learning has attracted dramatic attention in recent years, both in academia and industry. The popular term deep learning generally refers to neural network methods. Indeed, many core ideas and methods were born years ago in the era of ...
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cc-by-nc-nd
DOI: https://doi.org/10.1162/coli_r_00312
Santanu Pattanayak • Apress eBooks
(2022)
In the modern age of information and analytics, natural language processing (NLP) is one of the most important technologies out there. Making sense of complex structures in language and deriving insights and actions from it are crucial from...
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DOI: https://doi.org/10.1007/978-1-4842-8931-0_4
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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Dong-Ling Deng, Xiaopeng Li, S. Das Sarma • Physical Review X
(2017)
Machine learning has recently gained attention as a possible way to understand phase transitions in many-body quantum systems. A new entanglement analysis reveals crucial properties of the data structures that encode quantum states in a neu...
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DOI: https://doi.org/10.1103/physrevx.7.021021
Brad Warner, Manavendra Misra • The American Statistician
(1996)
Neural networks have received a great deal of attention over the last few years. They are being used in the areas of prediction and classification, areas where regression models and other related statistical techniques have traditionally be...
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DOI: https://doi.org/10.1080/00031305.1996.10473554
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
Fenglei Fan, Jinjun Xiong, Mengzhou Li, Ge Wang • IEEE Transactions on Radiation and Plasma Medical Sciences
(2021)
Deep learning as represented by the artificial deep neural networks (DNNs) has achieved great success recently in many important areas that deal with text, images, videos, graphs, and so on. However, the black-box nature of DNNs has become ...
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Open Access
DOI: https://doi.org/10.1109/trpms.2021.3066428
PMC: 9105427