Home »
Academic Articles & Research Papers
Showing 20 of 4,934 academic articles
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
Alessandro Pollini, Tiziana C. Callari, Alessandra Tedeschi, Daniele Ruscio et al. • Cognition Technology & Work
(2021)
Computer and Information Security (CIS) is usually approached adopting a technology-centric viewpoint, where the human components of sociotechnical systems are generally considered as their weakest part, with little consideration for the en...
OPENALEX
cc-by
DOI: https://doi.org/10.1007/s10111-021-00683-y
PMC: 8195225
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 ...
OPENALEX
DOI: https://doi.org/10.1093/acprof:oso/9780190665012.001.0001
Dietmar P. F. Möller • Advances in information security
(2023)
OPENALEX
DOI: https://doi.org/10.1007/978-3-031-26845-8_5
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
Maanak Gupta, Charankumar Akiri, Kshitiz Aryal, Eli Parker et al. • IEEE Access
(2023)
Undoubtedly, the evolution of Generative AI (GenAI) models has been the highlight of digital transformation in the year 2022. As the different GenAI models like ChatGPT and Google Bard continue to foster their complexity and capability, it’...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.1109/access.2023.3300381
Saqib Saeed, Salha A. Altamimi, Norah A. Alkayyal, Ebtisam Alshehri et al. • Sensors
(2023)
This systematic literature review explores the digital transformation (DT) and cybersecurity implications for achieving business resilience. DT involves transitioning organizational processes to IT solutions, which can result in significant...
OPENALEX
cc-by
DOI: https://doi.org/10.3390/s23156666
PMC: 10422504
Markus Christen, Bert Gordijn, Michele Loi • The International library of ethics, law and technology
(2020)
This book provides the first comprehensive collection of papers that provide an integrative view on cybersecurity. This work is sorely needed in a world where cybersecurity has become indispensable to protect trust and confidence in the dig...
OPENALEX
cc-by
DOI: https://doi.org/10.1007/978-3-030-29053-5
Portia Pusey, William Anthony Sadera • Journal of Digital Learning in Teacher Education
(2011)
In teacher education programs, preservice teachers learn about strategies to appropriately integrate computer-related and Internet-capable technologies into instructional settings to improve student learning. Many presume that preservice te...
OPENALEX
DOI: https://doi.org/10.1080/21532974.2011.10784684
Yijun Xiao, William Yang Wang • Proceedings of the AAAI Conference on Artificial Intelligence
(2019)
Reliable uncertainty quantification is a first step towards building explainable, transparent, and accountable artificial intelligent systems. Recent progress in Bayesian deep learning has made such quantification realizable. In this paper,...
OPENALEX
Open Access
DOI: https://doi.org/10.1609/aaai.v33i01.33017322
Joydeep Bhattacharjee • Apress eBooks
(2019)
In the previous chapters, we took a look at different machine learning algorithms and then we worked on how to work with data for those algorithms. Those data sets were largely tabular, and the individual values were either numerical or cat...
OPENALEX
DOI: https://doi.org/10.1007/978-1-4842-5121-8_5
Aleš Horák, Adam Rambousek • Routledge eBooks
(2017)
The chapter introduces links between lexicography and natural language processing in both directions. First, how the lexicographic work benefits from techniques of natural language processing such as word sense disambiguation, semantic simi...
OPENALEX
DOI: https://doi.org/10.4324/9781315104942-13
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 ...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.1162/coli_r_00312
Jonah A. Berger, Grant M. Packard • American Psychologist
(2021)
Language can provide important insights into people, and culture more generally. Further, the digitization of information has made more and more textual data available. But by itself, all that data are just that: data. Realizing its potenti...
OPENALEX
Open Access
DOI: https://doi.org/10.1037/amp0000882
Lauri Karttunen, Kimmo Koskenniemi, van Gerardus Noord (2003)
Finite state methods have been in common use in various areas of natural language processing (NLP) for many years. A series of specialized workshops in this area illustrates this. In 1996, András Kornai organized a very successful workshop...
OPENALEX
Zhiyuan Liu, Yankai Lin, Maosong Sun • Springer eBooks
(2020)
This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for NLP. It also benefit related domains such as machine learning, social network analysis, semantic Web, infor...
OPENALEX
cc-by
DOI: https://doi.org/10.1007/978-981-15-5573-2
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...
OPENALEX
DOI: https://doi.org/10.1007/978-1-4842-8931-0_4
Fabiano Dalpiaz, Alessio Ferrari, Xavier Franch, Cristina Palomares • IEEE Software
(2018)
As part of the growing interest in natural language processing for requirements engineering (RE), RE researchers, computational linguists, and industry practitioners met at the First Workshop on Natural Language Processing for Requirements ...
OPENALEX
Open Access
DOI: https://doi.org/10.1109/ms.2018.3571242
Vivi Năstase, Rada F. Mihalcea, Dragomir Radev • Natural Language Engineering
(2015)
Abstract Graphs are a powerful representation formalism that can be applied to a variety of aspects related to language processing. We provide an overview of how Natural Language Processing problems have been projected into the graph framew...
OPENALEX
Open Access
DOI: https://doi.org/10.1017/s1351324915000340
Arvind Chandrasekaran • International Journal on Cybernetics & Informatics
(2023)
Hints of the outbreak are detected through the modified circumstances favoring the outbreaks, like the warm weather contributing to epidermal outbreaks or the loss of sanitation leading to cholera outbreaks typically relying on the routine ...
OPENALEX
Open Access
DOI: https://doi.org/10.5121/ijci.2023.120205