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Academic Articles & Research Papers
Showing 20 of 785 academic articles
Nouf Ali AL Ajmi, Muhammad Shoaib • Applied Sciences
(2025)
This study presents a comprehensive comparison of multiple optimization algorithms applied to a quantum classification model, utilizing the Cleveland dataset. Specifically, the research focuses on three prominent optimizers—COBYLA, L-BFGS-B...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app15084493
Claudio Sanavio, Simone Tibaldi, Edoardo Tignone, Elisa Ercolessi • IEEE Transactions on Quantum Engineering
(2024)
The imputation of missing data is a common procedure in data analysis that consists in predicting missing values of incomplete data points. In this work, we analyze a variational quantum circuit for the imputation of missing data. We constr...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/TQE.2024.3447875
Jiawei Yong, Sihai Tang • Entropy
(2026)
Solving Bayesian inverse problems efficiently stands as a major bottleneck in scientific computing. Although Bayesian Physics-Informed Neural Networks (B-PINNs) have introduced a robust way to quantify uncertainty, the high-dimensional para...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/e28020156
Hinako Asaoka, Kazue Kudo • Scientific Reports
(2023)
Abstract Classical computing has borne witness to the development of machine learning. The integration of quantum technology into this mix will lead to unimaginable benefits and be regarded as a giant leap forward in mankind’s ability to co...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-023-43729-z
Shtwai Alsubai, Mohamed Ayari, Natalia Kryvinska, Ahmad Almadhor et al. • Scientific Reports
(2026)
Abstract Cybersecurity challenges have become increasingly complex and widespread, and the risks associated with these problems are substantial, affecting thousands of individuals and organisations and being crucial to national security. As...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-026-40634-z
Xiaoxuan Pan, Zhide Lu, Weiting Wang, Ziyue Hua et al. • Nature Communications
(2023)
Abstract Deep learning and quantum computing have achieved dramatic progresses in recent years. The interplay between these two fast-growing fields gives rise to a new research frontier of quantum machine learning. In this work, we report a...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41467-023-39785-8
Chen Zhao, Xiao-Shan Gao • Quantum
(2021)
In this paper, we propose a general scheme to analyze the gradient vanishing phenomenon, also known as the barren plateau phenomenon, in training quantum neural networks with the ZX-calculus. More precisely, we extend the barren plateaus th...
DOAJ
Open Access (DOAJ)
DOI: 10.22331/q-2021-06-04-466
Qiang Fu, Jian–Guang Lou, Yi Wang, Li Jiang • Proceedings
(2009)
Detection of execution anomalies is very important for the maintenance, development, and performance refinement of large scale distributed systems. Execution anomalies include both work flow errors and low performance problems. People often...
OPENALEX
DOI: https://doi.org/10.1109/icdm.2009.60
• Issues in Information Systems
(2024)
Small and Medium-sized Enterprises (SMEs) all over the world are the very heart of economic growth.SMEs drive economic growth worldwide.However, unlike most behemoths, they lack the resources and experience to tackle cybersecurity threats c...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.48009/1_iis_2024_120
Emmanuel C. Ogu • Routledge eBooks
(2021)
The modern realities of cybersecurity have uncovered the unpreparedness of many sectors and industries to deal with emerging threats. One of these sectors is the healthcare industry. The pervasiveness and proliferation of digital innovation...
OPENALEX
DOI: https://doi.org/10.1201/9781003254416
Kalyan Chakradhar Regula • Advances in computational intelligence and robotics book series
(2025)
Artificial Intelligence (AI) and Cybersecurity have become deeply intertwined, shaping the future of digital safety and resilience. As AI-driven solutions enhance threat detection, automation, and response mechanisms, cybersecurity safeguar...
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DOI: https://doi.org/10.4018/979-8-3373-1142-5.ch015
Paul Watters • CRC Press eBooks
(2023)
The field of cybersecurity and cybercrime is a critical and rapidly evolving area of study. As our society becomes more and more reliant on technology, the risks of cybercrime increase. This book provides a comprehensive introduction to the...
OPENALEX
DOI: https://doi.org/10.1201/9781003406730
Anjola Adeniyi • Routledge eBooks
(2021)
How do effective directors secure the organisation against cyber risks? Based on a framework of global corporate governance best practice, which can be used in all organisations anywhere in the world, this chapter of Questions To Ask (QTA) ...
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DOI: https://doi.org/10.4324/9781003201182-50
Ludwig Slusky • Journal of international technology and information management
(2020)
The online proctored examinations are adopted exceedingly in all forms of academic education and professional training. AI with Machine Learning technology take the leading role in supporting authentication, authorization, and operational c...
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Open Access
DOI: https://doi.org/10.58729/1941-6679.1445
Rupinder Paul Khandpur, Taoran Ji, Steve Jan, Gang Wang et al. • ACM International Conference on Information and Knowledge Management (CIKM)
(2017)
Social media is often viewed as a sensor into various societal events such as disease outbreaks, protests, and elections. We describe the use of social media as a crowdsourced sensor to gain insight into ongoing cyber-attacks. Our approach ...
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Open Access
DOI: https://doi.org/10.1145/3132847.3132866
Dipankar Dasgupta, Zahid Akhtar, Sajib Sen • The Journal of Defense Modeling and Simulation Applications Methodology Technology
(2020)
Today’s world is highly network interconnected owing to the pervasiveness of small personal devices (e.g., smartphones) as well as large computing devices or services (e.g., cloud computing or online banking), and thereby each passing minut...
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DOI: https://doi.org/10.1177/1548512920951275
Calvin Nobles • HOLISTICA – Journal of Business and Public Administration
(2018)
Abstract Human factors remained unexplored and underappreciated in information security. The mounting cyber-attacks, data breaches, and ransomware attacks are a result of human-enabled errors, in fact, 95% of all cyber incidents are human-e...
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DOI: https://doi.org/10.2478/hjbpa-2018-0024
Rodney J. Petersen, Danielle Santos, Matthew C Smith, Karen A. Wetzel et al. (2020)
This publication from the National Initiative for Cybersecurity Education (NICE) describes the Workforce Framework for Cybersecurity (NICE Framework), a fundamental reference for describing and sharing information about cybersecurity work. ...
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Open Access
DOI: https://doi.org/10.6028/nist.sp.800-181r1
Anand Handa, Ashu Sharma, Sandeep K. Shukla • Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
(2019)
Machine learning technology has become mainstream in a large number of domains, and cybersecurity applications of machine learning techniques are plenty. Examples include malware analysis, especially for zero‐day malware detection, threat a...
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DOI: https://doi.org/10.1002/widm.1306
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...
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cc-by-nc-nd
DOI: https://doi.org/10.1016/j.iotcps.2025.01.001