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Showing 20 of 983 academic articles

Cybersecurity

Bongsik Shin • Auerbach Publications eBooks (2021)

Aggressors and organized crimes have launched serious cybersecurity attacks, and ill-prepared public and private organizations have suffered dearly. People are the most vulnerable element in cybersecurity, and thus continuous efforts should...

OPENALEX DOI: https://doi.org/10.1201/9781003123699-2

Cybersecurity

Jon Clay • Wiley eBooks (2023)

Cybersecurity has evolved over the years to become a critical component for businesses and individuals alike. As malicious actors have grown in numbers and continued to change their tactics, techniques, and procedures (TTPs), the cybersecur...

OPENALEX DOI: https://doi.org/10.1002/9781119987635.ch22

Cybersecurity in Hospitals: A Systematic, Organizational Perspective

Mohammad S. Jalali, Jessica Kaiser • Journal of Medical Internet Research (2018)

BACKGROUND: Cybersecurity incidents are a growing threat to the health care industry in general and hospitals in particular. The health care industry has lagged behind other industries in protecting its main stakeholder (ie, patients), and ...

OPENALEX cc-by DOI: https://doi.org/10.2139/ssrn.3100364 PMC: 5996174

INTERNATIONAL CYBERSECURITY EXPERIENCE AND CYBERSECURITY MODELS

Zina Zinelovna Nurysh, E.I. Isibaeva, Zhanna B. Shayakhmetova, Darkan Serik • «Вестник Атырауского университета имени Халела Досмухамедова» (2026)

In the article, the authors explore the state's capabilities in cybersecurity issues directly related to foreign national security experience. The mechanisms of public administration will be considered in order to improve cybersecurity in t...

OPENALEX cc-by DOI: https://doi.org/10.47649/vau.26.v80.i1.54

Human factors in cybersecurity

Esmeralda Kadëna, Marsidi Gupi • Security science journal (2021)

Technological solutions in the mobile and digital era are becoming more helpful in informing the population, educational systems, monitoring, tracking the individuals, working, and spending time from home. On the other hand, the valuable in...

OPENALEX cc-by DOI: https://doi.org/10.37458/ssj.2.2.3

Leveraging human factors in cybersecurity: an integrated methodological approach

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

Natural Language Processing

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

Natural Language Processing

Nils J. Nilsson • Cambridge University Press eBooks (2009)

B eyond pattern recognition of individual alphanumeric characters , whether they be of fixed font or handwritten, lies the problem of understanding strings of characters that form words, sentences, or larger assemblages of text in a “natura...

OPENALEX DOI: https://doi.org/10.1017/cbo9780511819346.009

Neural Networks in Business Forecasting

• IGI Global eBooks (2004)

Neural Network is defined as the ability of a group to solve more problems than its individual members.The idea brings that a group of people can solve problems efficiently and offer greater insight and a better answer than any one individu...

OPENALEX DOI: https://doi.org/10.4018/978-1-59140-176-6

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

Slimmable Neural Networks

Jiahui Yu, Linjie Yang, Ning Xu, Yang, Jianchao et al. • arXiv (Cornell University) (2018)

We present a simple and general method to train a single neural network executable at different widths (number of channels in a layer), permitting instant and adaptive accuracy-efficiency trade-offs at runtime. Instead of training individua...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1812.08928

Learning and Evolution in Neural Networks

Stefano Nolfi, Domenico Parisi, Jeffrey L. Elman • Adaptive Behavior (1994)

This article describes simulations on populations of neural networks that both evolve at the population level and learn at the individual level. Unlike other simulations, the evolutionary task (finding food in the environment) and the learn...

OPENALEX DOI: https://doi.org/10.1177/105971239400300102

Introduction to artificial neural networks

Enzo Grossi, Massimo Buscema • European Journal of Gastroenterology & Hepatology (2007)

The coupling of computer science and theoretical bases such as nonlinear dynamics and chaos theory allows the creation of 'intelligent' agents, such as artificial neural networks (ANNs), able to adapt themselves dynamically to problems of h...

OPENALEX DOI: https://doi.org/10.1097/meg.0b013e3282f198a0

Intriguing properties of neural networks

Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna et al. • arXiv (Cornell University) (2013)

Deep neural networks are highly expressive models that have recently achieved state of the art performance on speech and visual recognition tasks. While their expressiveness is the reason they succeed, it also causes them to learn uninterpr...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1312.6199

Artificial intelligence in educational leadership: a symbiotic role of human-artificial intelligence decision-making

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. ...

OPENALEX DOI: https://doi.org/10.1108/jea-10-2020-0216

Challenges in automotive software engineering

Manfred Broy • ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) (2006)

The amount of software in cars grows exponentially. Driving forces of this development are cheaper and more powerful hardware and the demand for innovations by new functions. The rapid increase of software and software based functionality b...

OPENALEX DOI: https://doi.org/10.1145/1134285.1134292

Spreading Social Influence with both Positive and Negative Opinions in Online Networks

Jing (Selena) He, Meng Han, Shouling Ji, Tianyu Du et al. • Big Data Mining and Analytics (2019)

Social networks are important media for spreading information, ideas, and influence among individuals. Most existing research focuses on understanding the characteristics of social networks, investigating how information is spread through t...

DOAJ Open Access (DOAJ) DOI: 10.26599/BDMA.2018.9020034

Generational Differences in Dietary Behaviours: A Cross-Sectional Study of Generations X, Y, and Z [version 1; peer review: 2 approved]

Jenan Alanazi, Ethar Alanazi, Reema Almuhayd, Saja Alanazi et al. • F1000Research (2025)

Background Dietary behaviours influence obesity and chronic disease. In Saudi Arabia, Westernised diets and sedentary lifestyles have driven rising obesity. This study explores generational dietary patterns to inform Saudi Vision 2030 plann...

DOAJ Open Access (DOAJ) DOI: 10.12688/f1000research.167810.1