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Showing 20 of 1,917 academic articles
• Issues in Information Systems
(2019)
With nearly 100% of our world's information stored on computers and databases, the threat of compromising this information looms as arguably the most critical risk that we must deal with as a global society.Rising from this threat is a crit...
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DOI: https://doi.org/10.48009/2_iis_2019_62-72
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...
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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 ...
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DOI: https://doi.org/10.1093/acprof:oso/9780190665012.001.0001
Rolf H. Weber, Evelyne Studer • Computer law & security review
(2016)
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DOI: https://doi.org/10.1016/j.clsr.2016.07.002
Joseph M. Hatfield • Computers & Security
(2017)
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DOI: https://doi.org/10.1016/j.cose.2017.10.008
Maleh, Yassine, Romdhani, Imed, SHOJAFAR, MOHAMMAD, Alazab, Mamoun • CRC Press eBooks
(2020)
Blockchain technology is defined as a decentralized system of distributed registers that are used to record data transactions on multiple computers. The reason this technology has gained popularity is that you can put any digital asset or t...
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Open Access
DOI: https://doi.org/10.1201/9780429324932
Fabien Charmet, Harry Chandra Tanuwidjaja, Solayman Ayoubi, Pierre-François Gimenez et al. • Annals of Telecommunications
(2022)
Abstract With the extensive application of deep learning (DL) algorithms in recent years, e.g., for detecting Android malware or vulnerable source code, artificial intelligence (AI) and machine learning (ML) are increasingly becoming essent...
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DOI: https://doi.org/10.1007/s12243-022-00926-7
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...
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DOI: https://doi.org/10.1080/21532974.2011.10784684
Gulsebnem Bishop • CRC Press eBooks
(2025)
This chapter will explore the complex world of cybersecurity and its surrounding culture. It sets out to highlight the distinctions between the two and underscore their unique characteristics. It is crucial that these differences are clarif...
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DOI: https://doi.org/10.1201/9781003368496-1
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
Rafael A. Calvo, David Milne, M. Sazzad Hussain, Helen M Christensen • Natural Language Engineering
(2017)
Abstract Natural language processing (NLP) techniques can be used to make inferences about peoples’ mental states from what they write on Facebook, Twitter and other social media. These inferences can then be used to create online pathways ...
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DOI: https://doi.org/10.1017/s1351324916000383
François Yvon • Lecture notes in computer science
(2023)
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Open Access
DOI: https://doi.org/10.1007/978-3-031-24349-3_6
Shazia A. Mitha, Jessica Schwartz, Mollie Hobensack, Kenrick Cato et al. • CIN Computers Informatics Nursing
(2022)
Natural language processing includes a variety of techniques that help to extract meaning from narrative data. In healthcare, medical natural language processing has been a growing field of study; however, little is known about its use in n...
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Open Access
DOI: https://doi.org/10.1097/cin.0000000000000967
PMC: 11499545
V Geetha, C.K. Gomathy, Mr.D.Sri Datta Vallab Yaratha Yagn, Sai Praneesh • INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
(2023)
Natural Language Processing (NLP) is a rapidly evolving field in the intersection of computer science, artificial intelligence, and linguistics. This article provides an overview of NLP, tracing its historical development from early rule-ba...
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Open Access
DOI: https://doi.org/10.55041/ijsrem27094
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...
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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...
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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 ...
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DOI: https://doi.org/10.1162/coli_r_00312
Barry Walsh • Apress eBooks
(2022)
Any book on operationalizing Artificial Intelligence today cannot ignore growth in Natural Language Processing (NLP), with market size projected to be $43b in 2025. Ostensibly the branch of AI concerned with programming computers to underst...
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DOI: https://doi.org/10.1007/978-1-4842-8817-7_10
Jian Feng Guo, He He, Tong He, Leonard Lausen et al. • arXiv (Cornell University)
(2019)
We present GluonCV and GluonNLP, the deep learning toolkits for computer vision and natural language processing based on Apache MXNet (incubating). These toolkits provide state-of-the-art pre-trained models, training scripts, and training l...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1907.04433
Rohit Kumar • Apress eBooks
(2017)
Taking our discussion further along from Chapter 4, on machine learning basics, we will discuss here the next topic: natural language processing, or the way machines and computers process and understand natural (human) languages....
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DOI: https://doi.org/10.1007/978-1-4842-3069-5_5