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Showing 20 of 187 academic articles

Hacking the Human: The Prevalence Paradox in Cybersecurity

Ben D. Sawyer, Peter A. Hancock • Human Factors The Journal of the Human Factors and Ergonomics Society (2018)

OBJECTIVE: This work assesses the efficacy of the "prevalence effect" as a form of cyberattack in human-automation teaming, using an email task. BACKGROUND: Under the prevalence effect, rare signals are more difficult to detect, even when t...

OPENALEX Open Access DOI: https://doi.org/10.1177/0018720818780472

Cybersecurity in Hospitals: A Systematic, Organizational Perspective

Mohammad S. Jalali, Jessica Kaiser • Journal of Medical Internet Research (2018)

BACKGROUND: Cybersecurity incidents are a growing threat to the health care industry in general and hospitals in particular. The health care industry has lagged behind other industries in protecting its main stakeholder (ie, patients), and ...

OPENALEX cc-by DOI: https://doi.org/10.2139/ssrn.3100364 PMC: 5996174

Leveraging human factors in cybersecurity: an integrated methodological approach

Alessandro Pollini, Tiziana C. Callari, Alessandra Tedeschi, Daniele Ruscio et al. • Cognition Technology & Work (2021)

Computer and Information Security (CIS) is usually approached adopting a technology-centric viewpoint, where the human components of sociotechnical systems are generally considered as their weakest part, with little consideration for the en...

OPENALEX cc-by DOI: https://doi.org/10.1007/s10111-021-00683-y PMC: 8195225

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

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

Pointwise Convolutional Neural Networks

Binh‐Son Hua, Minh-Khoi Tran, Sai-Kit Yeung • IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings (2018)

Deep learning with 3D data such as reconstructed point clouds and CAD models has received great research interests recently. However, the capability of using point clouds with convolutional neural network has been so far not fully explored....

OPENALEX Open Access DOI: https://doi.org/10.1109/cvpr.2018.00109

Memristor devices for neural networks

Hongsik Jeong, Luping Shi • Journal of Physics D Applied Physics (2018)

Abstract Neural network technologies have taken center stage owing to their powerful computing capability for supporting deep learning in artificial intelligence. However, conventional synaptic devices such as SRAM and DRAM are not satisfac...

OPENALEX cc-by DOI: https://doi.org/10.1088/1361-6463/aae223

Theory of the backpropagation neural network

Hecht-Nielsen • International Joint Conference on Neural Networks (IJCNN) (1989)

The author presents a survey of the basic theory of the backpropagation neural network architecture covering architectural design, performance measurement, function approximation capability, and learning. The survey includes previously know...

OPENALEX DOI: https://doi.org/10.1109/ijcnn.1989.118638

Applications of Neural Networks in Electromagnetics

Christos Christodoulou, Michael Georgiopoulos • CERN Document Server (European Organization for Nuclear Research) (2001)

From the Book: Since the early 1990s, a plethora of electromagnetic problems have been tackled using neural networks, some more successfully than others. Because neural networks and electromagnetics are two different scientific fields, not...

OPENALEX

IEEE Access Special Section Editorial: Toward Service-Centric Internet of Things (IoT): From Modeling to Practice

Yue Cao, Omprakash Kaiwartya, Xiaodong Xu, William Liu et al. • IEEE Access (2021)

The Internet of Things (IoT) refers to an emerging paradigm to seamlessly and ubiquitously integrate a large number of smart things with intra/inter links to the physical and cyber worlds. Sensor-enabled communication technologies connect b...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2021.3090136

Software engineering economics

Mohamed Mohamed Al Hady • Cybrarians Journal (2007)

This work aims to shed light on an important topic that has begun to emerge in recent years, which is the economics of software engineering as a basic pillar in national development and confronting the competitive market challenges that cha...

OPENALEX cc-by DOI: https://doi.org/10.70000/cj.2007.14.426

A millifluidic study of cell-to-cell heterogeneity in growth-rate and cell-division capability in populations of isogenic cells of Chlamydomonas reinhardtii.

Shima P Damodaran, Stephan Eberhard, Laurent Boitard, Jairo Garnica Rodriguez et al. • PLoS ONE (2015)

To address possible cell-to-cell heterogeneity in growth dynamics of isogenic cell populations of Chlamydomonas reinhardtii, we developed a millifluidic drop-based device that not only allows the analysis of populations grown from single ce...

DOAJ Open Access (DOAJ) DOI: 10.1371/journal.pone.0118987

Investigation on Individual and Collective PV Self-Consumption for a Fifth Generation District Heating Network

Jacopo Vivian, Mattia Chinello, Angelo Zarrella, Michele De Carli • Energies (2022)

Renewable Energy Communities have been recently introduced in European legislation to promote distributed generation from renewable energy sources. In fact, they allow to produce and consume energy from shared local power plants. Low temper...

DOAJ Open Access (DOAJ) DOI: 10.3390/en15031022

Empowering Sustainability: The Crucial Role of IoT-Enabled Distributed Learning Systems in Reducing Carbon Footprints

Anjana M S, Aryadevi Remanidevi Devidas, Maneesha Vinodini Ramesh • IEEE Access (2025)

Electrical energy plays a pivotal role in modern society by powering homes, industries, and transportation systems. However, the production of electricity is associated with significant carbon emissions, primarily from fossil fuel-based pow...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3539333

Research on local voltage control strategy based on high-penetration distributed PV systems

Xiaojian Huang, Haoming Liu, Bo Zhang, Jianchun Wang et al. • The Journal of Engineering (2019)

With the high-penetration distributed photovoltaic (PV) systems accessed to a distribution network, the peak active power output of PV systems is always greater than the total local load demands, which might lead to the issues of overvoltag...

DOAJ Open Access (DOAJ) DOI: 10.1049/joe.2018.9245

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

Enhanced Reversibility of Li‐Rich Binary Oxide Cathodes through Synergistic Interfacial Regulation for Improved Charge Transfer Kinetics at High Depth of Charge/Discharge

Qing Zhang, Jiaoyang Cheng, Jinxin Cao, Fang Lian • ChemElectroChem (2025)

Lithium‐rich manganese‐based oxides are accepted as a promising cathode material for high‐energy density batteries. However, they suffer from irreversible structural transformations and detrimental interfacial reactions, especially under de...

DOAJ Open Access (DOAJ) DOI: 10.1002/celc.202500045