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Distributed Systems

Vivek S Kale • CRC Press eBooks (2019)

This chapter provides an introduction to distributed computing as a foundation for better understanding of cloud-enabled business processes. Distributed systems constitute of a large umbrella under which several different software systems a...

OPENALEX DOI: https://doi.org/10.1201/9781351029148-5

Distributed Systems

Vivek S Kale • Auerbach Publications eBooks (2017)

This chapter addresses the issues involved in distributed databases, where a database is stored on more than one computer. It provides an introduction to parallel and distributed computing as a foundation for the better understanding of clo...

OPENALEX DOI: https://doi.org/10.4324/9781315368559-5

Distributed Systems

Vivek S Kale • CRC Press eBooks (2018)

The origins of big data technologies come from database systems and distributed systems as well as data mining and machine learning algorithms that can process these vast amounts of data to extract the necessary knowledge. This chapter addr...

OPENALEX DOI: https://doi.org/10.1201/9780429453311-9

Cybersecurity in Cyber–Physical Power Systems

Luiz F. R. Monteiro, Yuri Reis Rodrigues, Antônio Carlos Zambroni de Souza • Energies (2023)

The current energy transition combined with the modernization of power systems has provided meaningful transformations in the transmission, distribution, operation, planning, monitoring, and control of power systems. These advancements are ...

OPENALEX cc-by DOI: https://doi.org/10.3390/en16124556

Cybersecurity

Adel Ismail Al‐Alawi, Arpita Anshu Mehrotra, Sara Abdulrahman Al‐Bassam • Advances in computational intelligence and robotics book series (2020)

The internet has revolutionized the way people communicate, how they manage their business, and even how they conduct their studies. Organizations can conduct meetings virtually and store all their data online. With this convenience, howeve...

OPENALEX DOI: https://doi.org/10.4018/978-1-7998-2418-3.ch013

Cybersecurity and Blockchain Usage in Contemporary Business

Imdad Ali Shah, Noor Zaman Jhanjhi, Areeba Laraib • Advances in information security, privacy, and ethics book series (2022)

The use of computers is becoming more and more common. The power and maliciousness of powerful attackers are increasing. Organizations must improve their ability to mitigate information security threats. Adequate protection is more critical...

OPENALEX DOI: https://doi.org/10.4018/978-1-6684-5284-4.ch003

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