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Showing 20 of 454 academic articles

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

Feddsg: backdoor defense via semantic filter and geometric constraint in federated learning

Jiabao Zhang, Jianhua Wang, Yuhong Li, Zhuangzhuang Zhang et al. • Cybersecurity (2026)

Abstract Backdoor attacks pose a serious threat to Internet-of-Things (IoT) federated learning. In IoT deployments, pronounced non-independent and identically distributed (non-IID) data heterogeneity causes benign client updates to exhibit ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s42400-026-00625-z

China and Cybersecurity

• Oxford University Press eBooks (2015)

China's emergence as a great power in the twenty-first century is strongly enabled by cyberspace. Leveraged information technology integrates Chinese firms into the global economy, modernizes infrastructure, and increases internet penetrati...

OPENALEX DOI: https://doi.org/10.1093/acprof:oso/9780190201265.001.0001

Nieuwe perspectieven in onrustige tijden

Edo Roos Lindgreen • MAB (2025)

Het is niet nodig om in dit voorwoord te vermelden dat de wereld sterk in beweging is. Als MAB-lezer heeft u genoeg informatiebronnen tot uw beschikking, en uiteraard uw eigen observaties, die de enorme veranderlijkheid en soms schokkende a...

DOAJ Open Access (DOAJ) DOI: 10.5117/mab.99.168389

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

The Immunogenicity of Capsid-Like Particle Vaccines in Combination with Different Adjuvants Using Different Routes of Administration

Christoph M. Janitzek, Philip H. R. Carlsen, Susan Thrane, Vijansh M. Khanna et al. • Vaccines (2021)

Capsid-like particle (CLP) displays can be used to enhance the immunogenicity of vaccine antigens, but a better understanding of how CLP vaccines are best formulated and delivered is needed. This study compared the humoral immune responses ...

DOAJ Open Access (DOAJ) DOI: 10.3390/vaccines9020131

Does ESG Disclosure Help Improve Intangible Capital? Evidence From A-Share Listed Companies

Wu Jun, Zheng Shiyong, Zheng Shiyong, Tang Yi • Frontiers in Environmental Science (2022)

With the disclosure of ESG, the investment related to ESG disclosure has increased, and the trend of changes in intangible capital has shown an “inverted S-shaped” curve. The research shows that, in the initial stage of investment in ESG co...

DOAJ Open Access (DOAJ) DOI: 10.3389/fenvs.2022.858548

Evolution of the Shadow Effect with Film Thickness and Substrate Conductivity on a Hemispherical Workpiece during Magnetron Sputtering

Huaiyuan Liu, Donglin Ma, Yantao Li, Lina You et al. • Metals (2023)

When depositing films on a complex workpiece surface by magnetron sputtering, the shadow effect occurs and causes the columnar structure to tilt toward the substrate owing to the oblique incident angle of the plasma flux, affecting the micr...

DOAJ Open Access (DOAJ) DOI: 10.3390/met13010165

Effect of the Temperature and Oxidation Time on Some Physicochemical Characteristics of the Rice Bran Oil

Romică CREȚU, Liviu Cătălin ȘOLEA • The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science (2022)

Due to their excellent characteristics, vegetable oils are successfully used in various formulations of organic lubricants. In this context, the advanced biodegradability and excellent lubricity performance of rice oil leads to its being co...

DOAJ Open Access (DOAJ) DOI: 10.35219/mms.2022.3.01

Active galactic nucleus activity in nearby disk galaxies: The roles of bar strength and spiral arm morphology

Martirosyan Zh. R., Hakobyan A. A., Adibekyan V., Barkhudaryan L. V. et al. • Astronomy & Astrophysics (2026)

Context. The transport of gas toward galactic centers and its connection to active galactic nucleus (AGN) activity remain key open questions in galaxy evolution. In particular, the relative roles of stellar bars and spiral arms and their po...

DOAJ Open Access (DOAJ) DOI: 10.1051/0004-6361/202661413

Application of Convolutional Neural Network for Fault Diagnosis of Bearing Scratch of an Induction Motor

Shrinathan Esaki Muthu Pandara Kone, Kenichi Yatsugi, Yukio Mizuno, Hisahide Nakamura • Applied Sciences (2022)

The demand for the condition monitoring of induction motors is increasing in various fields, such as industry, transportation, and daily life. Bearing faults are the most common faults, and many fault diagnosis methods have been proposed us...

DOAJ Open Access (DOAJ) DOI: 10.3390/app12115513

Transient Elastography and Video Recovery Narrative Access to Support Recovery From Alcohol Misuse: Development of a Novel Intervention for Use in Community Alcohol Treatment Services

Stefan Rennick-Egglestone, Mohsan Subhani, Holly Knight, Katy A Jones et al. • JMIR Formative Research (2023)

BackgroundMortality from alcohol-related liver disease has risen significantly for 3 decades. Transient elastography (TE) is a noninvasive test providing a numerical marker of liver disease. Preliminary evidence suggests that TE can reduce ...

DOAJ Open Access (DOAJ) DOI: 10.2196/47109

Construction of the cancer patients’ database based on the US National Health and Nutrition Examination Survey (NHANES) datasets for cancer epidemiology research

Jinyoung Moon, Yongseok Mun • BMC Medical Research Methodology (2025)

Abstract Background The US National Health and Nutrition Examination Survey (NHANES) dataset does not include a specific question or laboratory test to confirm a history of cancer diagnosis. However, if straightforward variables for cancer ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12874-025-02478-5

Maternal cardiovascular adaptation to twin pregnancy: a population-based prospective cohort study

Maria C. Adank, Zoe A. Broere-Brown, Romy Gonçalves, M. Kamran Ikram et al. • BMC Pregnancy and Childbirth (2020)

Abstract Background In women with singleton pregnancies, maternal adaptation is considered a stress test for later life cardiovascular disease. The aim of this study was to assess maternal adaptation in women with twin pregnancies compared ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12884-020-02994-w

Recuperação Completa de Doente com Carcinoma da Próstata Estádio IV Durante a Pandemia COVID-19

Gil Falcão, Cabrita Carneiro, Luís Campos Pinheiro • Gazeta Médica (2020)

A doença causada pelo coronavírus (COVID-19), inicialmente descrita em Wuhan, China, foi recentemente declarada pela Organização Mundial da Saúde (OMS) como uma pandemia global. A idade avançada e a presença de comorbilidades, característic...

DOAJ Open Access (DOAJ) DOI: 10.29315/gm.v7i2.328

Proposing New Data Whitening Method through Application of LSTM Method for Fault Condition Prediction in Bearing Data

Nasrin Rezaei, Andreas Rehkopf • Advances in Engineering and Intelligence Systems (2026)

In the context of big data, data preprocessing, especially data whitening, plays a pivotal role in improving the effectiveness of AI models. While traditional whitening methods suffer from severe computational bottlenecks, arising from the ...

DOAJ Open Access (DOAJ) DOI: 10.22034/aeis.2026.575941.1510