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Showing 11 of 31 academic articles

Towards an Improved Understanding of Human Factors in Cybersecurity

Jongkil Jay Jeong, Joanne Mihelcic, Gillian Oliver, Carsten Rudolph • IEEE International Conference on Collaboration and Internet Computing (CIC) (2019)

Cybersecurity cannot be addressed by technology alone; the most intractable aspects are in fact sociotechnical. As a result, the 'human factor' has been recognised as being the weakest and most obscure link in creating safe and secure digit...

OPENALEX Open Access DOI: https://doi.org/10.1109/cic48465.2019.00047

Sensitivity and Features of Computed Tomography in Diagnosis of COVID-19 Pneumonia: A Meta-analysis

Awadia Gareeballah, Moawia Gameraddin, Sultan Abdulwadoud Alshoabi, Lubna Bushara et al. • Journal of Clinical and Diagnostic Research (2021)

Introduction: Early diagnosis of COVID-19 is important for disease treatment and management. Computed Tomography (CT) is a fast and easy modality for diagnosis and management plan of patients with COVID-19. In the literature, several stu...

DOAJ Open Access (DOAJ) DOI: 10.7860/JCDR/2021/47449.14570

Nanotechnology

JE Hulla, SC Sahu, Andrew Wallace Hayes • Human & Experimental Toxicology (2015)

Human dreams and imagination often give rise to new science and technology. Nanotechnology, a 21st-century frontier, was born out of such dreams. Nanotechnology is defined as the understanding and control of matter at dimensions between 1 a...

OPENALEX DOI: https://doi.org/10.1177/0960327115603588

European Ai-Policy Space

R. S. Vykhodets • Евразийская интеграция: экономика, право, политика (2021)

Artificial Intelligence (AI) is one of the central technologies of the fourth industrial revolution. A significant part of the production of surplus value in the XXI century is associated with the mastery and widespread introduction of tech...

DOAJ Open Access (DOAJ) DOI: 10.22394/2073-2929-2021-03-108-117

The influence of catch trials on the consolidation of motor memory in force field adaptation tasks

Anne eFocke, Christian eStockinger, Christina eDiepold, Marco eTaubert et al. • Frontiers in Psychology (2013)

In computational neuroscience it is generally accepted that human motor memory contains neural representations of the physics of the musculoskeletal system and the objects in the environment. These representations are called internal models...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpsyg.2013.00479

HRCTCov19-a high-resolution chest CT scan image dataset for COVID-19 diagnosis and differentiation

Iraj Abedi, Mahsa Vali, Bentolhoda Otroshi, Maryam Zamanian et al. • BMC Research Notes (2024)

Abstract Introduction Computed tomography (CT) was a widely used diagnostic technique for COVID-19 during the pandemic. High-Resolution Computed Tomography (HRCT), is a type of computed tomography that enhances image resolution through the ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13104-024-06693-z

Hybrid machine learning and 3D numerical modeling-based multi-objective optimization of geosynthetic-reinforced pile-supported embankments

Ammar Alnmr, Ammar Alnmr, Rashad Alsirawan, Haidar Hosamo et al. • Frontiers in Built Environment (2026)

Efficient and reliable design of Geosynthetic Reinforced Pile-Supported (GRPS) embankments on soft ground remains challenging due to the complex nonlinear soil–structure interaction and the high computational cost of repeated numerical anal...

DOAJ Open Access (DOAJ) DOI: 10.3389/fbuil.2026.1829950

Deep Learning for Automatic Vision-Based Recognition of Industrial Surface Defects: A Survey

Michela Prunella, Roberto Maria Scardigno, Domenico Buongiorno, Antonio Brunetti et al. • IEEE Access (2023)

Automatic vision-based inspection systems have played a key role in product quality assessment for decades through the segmentation, detection, and classification of defects. Historically, machine learning frameworks, based on hand-crafted ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3271748