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Showing 20 of 445 academic articles

A Game-theoretic Taxonomy and Survey of Defensive Deception for Cybersecurity and Privacy

Jeffrey Pawlick, Edward Colbert, Quanyan Zhu • ACM Computing Surveys (2019)

Cyberattacks on both databases and critical infrastructure have threatened public and private sectors. Ubiquitous tracking and wearable computing have infringed upon privacy. Advocates and engineers have recently proposed using defensive de...

OPENALEX Open Access DOI: https://doi.org/10.1145/3337772

Cybersecurity

Selem Charfi, Marko Mladenović • Advances in information security, privacy, and ethics book series (2020)

Cybersecurity is generally considered as an information security topic, often associated with personal data and information databases: collecting, exposing, corrupting, or deleting these data. However, it is a more global problem, and relat...

OPENALEX DOI: https://doi.org/10.4018/978-1-7998-2242-4.ch016

Cyber risk and cybersecurity: a systematic review of data availability

Frank Cremer, Barry Sheehan, Michael Fortmann, Arash Negahdari Kia et al. • The Geneva Papers on Risk and Insurance Issues and Practice (2022)

Cybercrime is estimated to have cost the global economy just under USD 1 trillion in 2020, indicating an increase of more than 50% since 2018. With the average cyber insurance claim rising from USD 145,000 in 2019 to USD 359,000 in 2020, th...

OPENALEX cc-by DOI: https://doi.org/10.1057/s41288-022-00266-6 PMC: 8853293

Natural Language Processing of Nursing Notes

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...

OPENALEX Open Access DOI: https://doi.org/10.1097/cin.0000000000000967 PMC: 11499545

Lexicography and natural language processing

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

Natural Language Processing

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

New trends in natural language processing: statistical natural language processing.

Mitchell P. Marcus • Proceedings of the National Academy of Sciences (1995)

The field of natural language processing (NLP) has seen a dramatic shift in both research direction and methodology in the past several years. In the past, most work in computational linguistics tended to focus on purely symbolic methods. R...

OPENALEX Open Access DOI: https://doi.org/10.1073/pnas.92.22.10052 PMC: 40734

Neural Networks for Fingerprint Recognition

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

Bidirectional recurrent neural networks

Mike Schuster, Kuldip K. Paliwal • IEEE Transactions on Signal Processing (1997)

In the first part of this paper, a regular recurrent neural network (RNN) is extended to a bidirectional recurrent neural network (BRNN). The BRNN can be trained without the limitation of using input information just up to a preset future f...

OPENALEX DOI: https://doi.org/10.1109/78.650093

Deep Learning for Instance Retrieval: A Survey

Wei Chen, Yu Liu, Weiping Wang, Erwin M. Bakker et al. • IEEE Transactions on Pattern Analysis and Machine Intelligence (2022)

In recent years a vast amount of visual content has been generated and shared from many fields, such as social media platforms, medical imaging, and robotics. This abundance of content creation and sharing has introduced new challenges, par...

OPENALEX Open Access DOI: https://doi.org/10.1109/tpami.2022.3218591

Capturing student interest in software engineering through gamification: a systematic literature review

Matipa Ricky Ngandu, David Risinamhodzi, Godwin Pedzisai Dzvapatsva, Courage Matobobo • Discover Education (2023)

Abstract ICT tools in education are widely used to support the aim of achieving learning outcomes by improving critical areas such as student engagement, participation, and motivation. In this study, we examine literature to explore how gam...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44217-023-00069-4

Application of Protein-Protein Interaction Network Analysis in Order to Identify Cervical Cancer miRNA and mRNA Biomarkers

Parinaz Tabrizi-Nezhadi, Habib MotieGhader, Masoud Maleki, Soner Sahin et al. • The Scientific World Journal (2023)

Cervical cancer (CC) is one of the world’s most common and severe cancers. This cancer includes two histological types: squamous cell carcinoma (SCC) and adenocarcinoma (ADC). The current study aims at identifying novel potential candidate ...

DOAJ Open Access (DOAJ) DOI: 10.1155/2023/6626279

Handbook of Space Astronomy and Astrophysics

Martin V. Zombeck • Cambridge University Press eBooks (2006)

Fully updated and including data from space-based observations, this Third Edition is a comprehensive compilation of the facts and figures relevant to astronomy and astrophysics. As well as a vast number of tables, graphs, diagrams and form...

OPENALEX DOI: https://doi.org/10.1017/cbo9780511536359

Data resource profile: a nationally representative linked pregnancy cohort in Canada integrating clinical, social, and environmental data

Sabrina Chiodo, Sonia M. Grandi, Jessica Gronsbell, Laura C. Rosella • International Journal of Population Data Science (2026)

Introduction Perinatal outcomes are shaped by clinical, social, and environmental factors, yet Canada lacks a nationally representative pregnancy cohort capturing these influences at the individual-level. This gap has limited the ability to...

DOAJ Open Access (DOAJ) DOI: 10.23889/ijpds.v8i6.3358

Development and validation of an online dynamic nomogram based on the atherogenic index of plasma to screen nonalcoholic fatty liver disease

Hewei Peng, Junchao Zhang, Xianhua Huang, Miao Xu et al. • Lipids in Health and Disease (2023)

Abstract Background Nonalcoholic fatty liver disease (NAFLD), a common liver disease worldwide, can be reversed early in life with lifestyle and medical interventions. This study aimed to develop a noninvasive tool to screen NAFLD accuratel...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12944-023-01808-0

Sensitivity and Features of Computed Tomography in Diagnosis of COVID-19 Pneumonia: A Meta-analysis

Awadia Gareeballah, Moawia Gameraddin, Sultan Abdulwadoud Alshoabi, Lubna Bushara et al. • Journal of Clinical and Diagnostic Research (2021)

Introduction: Early diagnosis of COVID-19 is important for disease treatment and management. Computed Tomography (CT) is a fast and easy modality for diagnosis and management plan of patients with COVID-19. In the literature, several stu...

DOAJ Open Access (DOAJ) DOI: 10.7860/JCDR/2021/47449.14570