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Metamorphic Testing for Cybersecurity

Tsong Yueh Chen, Fei‐Ching Kuo, Wenjuan Ma, Willy Susilo et al. • Computer (2016)

Testing is a major approach for the detection of software defects, including vulnerabilities in security features. This article introduces metamorphic testing (MT), a relatively new testing method, and discusses how the new perspective of M...

OPENALEX Open Access DOI: https://doi.org/10.1109/mc.2016.176 PMC: 4993050

The Role of Machine Learning in Cybersecurity

Giovanni Apruzzese, Pavel Laskov, Edgardo Montes de, Wissam Mallouli et al. • Digital Threats Research and Practice (2022)

Machine Learning (ML) represents a pivotal technology for current and future information systems, and many domains already leverage the capabilities of ML. However, deployment of ML in cybersecurity is still at an early stage, revealing a s...

OPENALEX Open Access DOI: https://doi.org/10.1145/3545574

Deep Learning and Autonomous Vehicles: Strategic Themes, Applications, and Research Agenda Using SciMAT and Content-Centric Analysis, a Systematic Review

Fábio Eid Morooka, Adalberto Manoel Junior, Tiago F. A. C. Sigahi, Jefferson de Souza Pinto et al. • Machine Learning and Knowledge Extraction (2023)

Applications of deep learning (DL) in autonomous vehicle (AV) projects have gained increasing interest from both researchers and companies. This has caused a rapid expansion of scientific production on DL-AV in recent years, encouraging res...

DOAJ Open Access (DOAJ) DOI: 10.3390/make5030041

A Unified Transformer–BDI Architecture for Financial Fraud Detection: Distributed Knowledge Transfer Across Diverse Datasets

Parul Dubey, Pushkar Dubey, Pitshou N. Bokoro • Forecasting (2025)

Financial fraud detection is a critical application area within the broader domains of cybersecurity and intelligent financial analytics. With the growing volume and complexity of digital transactions, the traditional rule-based and shallow...

DOAJ Open Access (DOAJ) DOI: 10.3390/forecast7020031

Recent Advances on Federated Learning for Cybersecurity and Cybersecurity for Federated Learning for Internet of Things

Bimal Ghimire, Danda B. Rawat • IEEE Internet of Things Journal (2022)

Decentralized paradigm in the field of cybersecurity and machine learning (ML) for the emerging Internet of Things (IoT) has gained a lot of attention from the government, academia, and industries in recent years. Federated cybersecurity (F...

OPENALEX DOI: https://doi.org/10.1109/jiot.2022.3150363

A Survey on Explainable Artificial Intelligence for Cybersecurity

Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Rabeb Mizouni et al. • IEEE Transactions on Network and Service Management (2023)

The “black-box” nature of artificial intelligence (AI) models has been the source of many concerns in their use for critical applications. Explainable Artificial Intelligence (XAI) is a rapidly growing research field that aims to create mac...

OPENALEX Open Access DOI: https://doi.org/10.1109/tnsm.2023.3282740

Using Wireless Sensor Networks to Achieve Intelligent Monitoring for High-Temperature Gas-Cooled Reactor

Jianghai Li, Jia Meng, Xiaojing Kang, Zhenhai Long et al. • Science and Technology of Nuclear Installations (2017)

High-temperature gas-cooled reactors (HTGR) can incorporate wireless sensor network (WSN) technology to improve safety and economic competitiveness. WSN has great potential in monitoring the equipment and processes within nuclear power plan...

DOAJ Open Access (DOAJ) DOI: 10.1155/2017/3721578

Decentralized intelligence in smart grids: a comprehensive survey of edge computing and federated learning

Pijush Kanti Dutta Pramanik, Bijoy Kumar Upadhyaya, Ajay Kushwaha, Debashish Bhowmik • Energy and AI (2026)

Modern power grids are becoming more distributed and data-intensive, while centralized, cloud-based analytics struggle to keep pace. Routing everything through a central system introduces delays, strains network capacity, complicates compli...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.egyai.2026.100925

Deep hybrid neural net (DHN-Net) for minute-level day-ahead solar and wind power forecast in a decarbonized power system

Olusola Bamisile, Dongsheng Cai, Humphrey Adun, Chukwuebuka Ejiyi et al. • Energy Reports (2023)

The need to reduce global carbon emissions has led to a significant increase in clean energy globally. While renewable energy penetration into energy grids and power systems is increasing in many countries, the intermittency and stochastic ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.egyr.2023.05.229

A Review of Cybersecurity in Grid-Connected Power Electronics Converters: Vulnerabilities, Countermeasures, and Testbeds

Ruiyun Fu, Mary E. Lichtenwalner, Thomas J. Johnson • IEEE Access (2023)

With the increasing installations of solar energy, electric vehicles, and other distributed energy resources and the deeper developments of digitalization and standardization, cybersecurity became more and more essential and critical in mod...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3324177

Cybersecurity in Distributed Power Systems

Zhiyi Li, Mohammad Shahidehpour, Farrokh Aminifar • Proceedings of the IEEE (2017)

This paper presents the application of cybersecurity to the operation and control of distributed electric power systems. In particular, the paper emphasizes the role of cybersecurity in the operation of microgrids and analyzes the dependenc...

OPENALEX DOI: https://doi.org/10.1109/jproc.2017.2687865

Cybersecurity

Richard A. Kemmerer • ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) (2003)

As more business activities are being automated and an increasing number of computers are being used to store sensitive information, the need for secure computer systems becomes more apparent. This need is even more apparent as systems and ...

OPENALEX DOI: https://doi.org/10.1109/icse.2003.1201257

Social Marketing and Public Health

Jeff French, Clive Blair-Stevens, Dominic McVey, Rowena Merritt • Oxford University Press eBooks (2009)

Social marketing is the application of commercial marketing tools and principles to the design, implementation, and evaluation of health and social behaviour-change programmes. It focuses on target groups within the population, tailoring ca...

OPENALEX DOI: https://doi.org/10.1093/acprof:oso/9780199550692.001.0001

SOCIAL MARKETING IN PUBLIC HEALTH

Sonya A. Grier, Carol A. Bryant • Annual Review of Public Health (2004)

Social marketing, the use of marketing to design and implement programs to promote socially beneficial behavior change, has grown in popularity and usage within the public health community. Despite this growth, many public health profession...

OPENALEX Open Access DOI: https://doi.org/10.1146/annurev.publhealth.26.021304.144610

Prediction of cardiorrespiratory fitness by screen time in schoolchildrens

Amanda de Oliveira, Flávio Ricardo Guilherme, Stevan Ricardo dos Santos, Maria Teresa Martins Fávero et al. • Revista da Educação Física (2020)

The time spent in front of the screens, results in accumulations of sedentary behavior, which is related to health damages to adolescents, such as a low cardiorespiratory fitness. In this sense, this study aimed to predict cardiorespiratory...

DOAJ Open Access (DOAJ) DOI: 10.4025/jphyseduc.v31i1.3139

Artificial intelligence in public health: promises, challenges, and an agenda for policy makers and public health institutions

Димитра Пантели, Keyrellous Adib, Stefan Buttigieg, Francisco Goiana-da-Silva et al. • The Lancet Public Health (2025)

Artificial intelligence (AI) can rapidly analyse large and complex datasets, extract tailored recommendations, support decision making, and improve the efficiency of many tasks that involve the processing of data, text, or images. As such, ...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/s2468-2667(25)00036-2 PMC: 12040707

Oxford Textbook of Public Health

Roger Detels, Robert Beaglehole, Mary Ann Lansang, Martin C. Gulliford • RePEc: Research Papers in Economics (2011)

SECTION 1: THE DEVELOPMENT OF THE DISCIPLINE OF PUBLIC HEALTH 1.1 The scope and concerns of public health 1.2 The history and development of public health in high-income countries 1.3 The history and development of public health in low- and...

OPENALEX

Telehealth for Sexual and Reproductive Healthcare: Evidence Map of Effectiveness, Patient and Provider Experiences and Preferences, and Patient Engagement Strategies

Romil R. Parikh, Nishka U. Shetty, Chinar Singhal, Prachi Patel et al. • Clinics and Practice (2026)

Objective: The aim of this study was to systematically map evidence to inform best practices for sexual and reproductive healthcare delivered via telehealth (TeleSRH) in United States-based Title X-funded clinics. Methods: We searched three...

DOAJ Open Access (DOAJ) DOI: 10.3390/clinpract16010014