Reset
Showing 20 of 2,701 academic articles

CYBERSECURITY

ROCHELLE F. H. BOHATY • Chemical & Engineering News (2008)

PERHAPS YOU KNOW all too well the casualties of cyber war—loss of time, money, and maybe even your identity. In what seems to be a pandemic, cyber attacks on both individuals and organizations are increasing in frequency, sophistication, an...

OPENALEX DOI: https://doi.org/10.1021/cen-v086n044.p018

Review of Generative AI methods in cybersecurity

Yagmur Yigit, William Johnston Buchanan, Madjid Tehrani, Leandros A. Maglaras • Internet of Things and Cyber-Physical Systems (2025)

Over the last decade, Artificial Intelligence (AI) has become increasingly popular, especially with the use of chatbots such as ChatGPT, Google’s Gemini, and DALL-E. With this rise, large language models (LLMs) and Generative AI (GenAI) hav...

OPENALEX cc-by DOI: https://doi.org/10.1016/j.iotcps.2026.04.001

New Solutions for Cybersecurity

• The MIT Press eBooks (2018)

Experts from MIT explore recent advances in cybersecurity, bringing together management, technical, and sociological perspectives. Ongoing cyberattacks, hacks, data breaches, and privacy concerns demonstrate vividly the inadequacy of existi...

OPENALEX DOI: https://doi.org/10.7551/mitpress/11636.001.0001

Generative AI in cybersecurity: A comprehensive review of LLM applications and vulnerabilities

Mohamed Amine Ferrag, Fatima Alwahedi, Ammar Ayman Battah, Bilel Cherif et al. • Internet of Things and Cyber-Physical Systems (2025)

This paper provides a comprehensive review of the future of cybersecurity through Generative AI and Large Language Models (LLMs). We explore LLM applications across various domains, including hardware design security, intrusion detection, s...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.iotcps.2025.01.001

A systemic framework for addressing cybersecurity in construction

Žiga Turk, Borja García de Soto, Bharadwaj R. K. Mantha, Abel Maciel et al. • Automation in Construction (2021)

Today, the built environment is designed, built, and managed using digital technology, making it increasingly exposed to cyber security risks. Cybersecurity is a general topic, and the construction sector has been borrowing general solution...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.autcon.2021.103988

From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy

Maanak Gupta, Charankumar Akiri, Kshitiz Aryal, Eli Parker et al. • IEEE Access (2023)

Undoubtedly, the evolution of Generative AI (GenAI) models has been the highlight of digital transformation in the year 2022. As the different GenAI models like ChatGPT and Google Bard continue to foster their complexity and capability, it’...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1109/access.2023.3300381

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

THE ROLE OF NATURAL LANGUAGE PROCESSING

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...

OPENALEX Open Access DOI: https://doi.org/10.55041/ijsrem27094

Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science

Emily M. Bender, Batya Friedman • Transactions of the Association for Computational Linguistics (2018)

In this paper, we propose data statements as a design solution and professional practice for natural language processing technologists, in both research and development. Through the adoption and widespread use of data statements, the field ...

OPENALEX cc-by DOI: https://doi.org/10.1162/tacl_a_00041

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 for Requirements Engineering: The Best Is Yet to Come

Fabiano Dalpiaz, Alessio Ferrari, Xavier Franch, Cristina Palomares • IEEE Software (2018)

As part of the growing interest in natural language processing for requirements engineering (RE), RE researchers, computational linguists, and industry practitioners met at the First Workshop on Natural Language Processing for Requirements ...

OPENALEX Open Access DOI: https://doi.org/10.1109/ms.2018.3571242

A survey of graphs in natural language processing

Vivi Năstase, Rada F. Mihalcea, Dragomir Radev • Natural Language Engineering (2015)

Abstract Graphs are a powerful representation formalism that can be applied to a variety of aspects related to language processing. We provide an overview of how Natural Language Processing problems have been projected into the graph framew...

OPENALEX Open Access DOI: https://doi.org/10.1017/s1351324915000340

Neural Networks in Structural Engineering

R. Daniel VanLuchene, ROUFEI SUN • Computer-Aided Civil and Infrastructure Engineering (1990)

In the past few years literature on computational civil engineering has concentrated primarily on artificial intelligence (Al) applications involving expert system technology. This article discusses a different Al approach involving neural ...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1111/j.1467-8667.1990.tb00377.x

Neural Networks and Computing

Tommy W. S. Chow, Siu‐Yeung Cho • Series in electrical and computer engineering (2007)

This book covers neural networks with special emphasis on advanced learning methodologies and applications. It includes practical issues of weight initializations, stalling of learning, and escape from a local minima, which have not been co...

OPENALEX DOI: https://doi.org/10.1142/p487

Neural networks in ocean engineering

Pooja Jain, Makarand Chintamani Deo • Ships and Offshore Structures (2005)

The soft computing technique of neural network is being extensively used across all disciplines of ocean engineering, namely, offshore, coastal, and deep-ocean engineering including marine engineering. This paper takes a stock of the resear...

OPENALEX DOI: https://doi.org/10.1533/saos.2004.0005

Recurrent Neural Networks for Prediction

Danilo P. Mandic, Jonathon A. Chambers • Wiley eBooks (2001)

New technologies in engineering, physics and biomedicine are demanding increasingly complex methods of digital signal processing. By presenting the latest research work the authors demonstrate how real-time recurrent neural networks (RNNs) ...

OPENALEX DOI: https://doi.org/10.1002/047084535x