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Showing 20 of 2,514 academic articles

The Impact and Limitations of Artificial Intelligence in Cybersecurity: A Literature Review

Meraj Farheen Ansari, Bibhu Dash, Pawankumar Sharma, Nikhitha Yathiraju • IJARCCE (2022)

Artificial intelligence is opening up new avenues for value generation in enterprises, industries, communities, and society as a whole.Technology has been researched to be relevant in many aspects of the world.This factor has made it to be ...

OPENALEX other-oa DOI: https://doi.org/10.17148/ijarcce.2022.11912

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

Explainable artificial intelligence for cybersecurity: a literature survey

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...

OPENALEX cc-by DOI: https://doi.org/10.1007/s12243-022-00926-7

Cybersecurity

S. Srisakthi, C. V. Suresh Babu • Advances in business information systems and analytics book series (2024)

The chapter thoroughly explores the multifaceted cybersecurity landscape's significance in safeguarding business intelligence amid rapid technological evolution. It starts with an overview of cybersecurity, defining its scope, exploring its...

OPENALEX DOI: https://doi.org/10.4018/979-8-3693-0839-4.ch001

Computer Vision and Natural Language Processing

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 ...

OPENALEX DOI: https://doi.org/10.1145/3009906

Natural language processing in mental health applications using non-clinical texts

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 ...

OPENALEX cc-by DOI: https://doi.org/10.1017/s1351324916000383

Natural language processing

Renáta Németh, Júlia Koltai • Intersections (2023)

Natural language processing (NLP) methods are designed to automatically process and analyze large amounts of textual data. The integration of this new-generation toolbox into sociology faces many challenges. NLP was institutionalized outsid...

OPENALEX cc-by DOI: https://doi.org/10.17356/ieejsp.v9i1.871

Automation of a problem list using natural language processing

Stéphane M. Meystre, Peter John Haug • BMC Medical Informatics and Decision Making (2005)

BACKGROUND: The medical problem list is an important part of the electronic medical record in development in our institution. To serve the functions it is designed for, the problem list has to be as accurate and timely as possible. However,...

OPENALEX cc-by DOI: https://doi.org/10.1186/1472-6947-5-30 PMC: 1208893

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

Xavier Vasques • Wiley eBooks (2024)

This book chapter focuses on natural language processing (NLP) and covers various applications such as classifying messages as spam or ham, sentiment analysis, and the use of Bidirectional Encoder Representations from Transformers (BERT). T...

OPENALEX DOI: https://doi.org/10.1002/9781394220649.ch4

Natural Language Processing

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...

OPENALEX DOI: https://doi.org/10.1007/978-1-4842-8817-7_10

Natural Language Processing

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

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

NATURAL LANGUAGE PROCESSING

V Ranjit, Suchitra Naik • International Journal of Computing Algorithm (2023)

A branch of computer science and AI called natural language processing is focused on how computers and human languages interact.In order for computers to interpret written and spoken human language without the use of computer-driven languag...

OPENALEX DOI: https://doi.org/10.20894/ijcoa.101.012.002.001