DUYỆT THEO

HỒ SƠ TÁC GIẢ

Tìm kiếm theo: Chủ đề machine learning

Duyệt theo: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
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Kết quả [2 - 3] / 3
    • Pulmonary gas exchange evaluated by machine learning a computer simulation
    Tác giả : Thomas J., Morgan; Adrian N., Langley; Robin D. C., Barrett;  Người hướng dẫn: -;  Đồng tác giả: - (2023)

    Using computer simulation we investigated whether machine learning (ML) analysis of selected ICU monitoring data can quantify pulmonary gas exchange in multi-compartment format. A 21 compartment ventilation/perfusion (V/Q) model of pulmonary blood flow processed 34,551 combinations of cardiac output, hemoglobin concentration, standard P50, base excess, VO2 and VCO2 plus three model-defining parameters: shunt, log SD and mean V/Q.
    • Values and Value Conflicts in the Context of OSINT Technologies for Cybersecurity Incident Response A Value Sensitive Design Perspective
    Tác giả : Thea, Riebe; Julian, Bäumler; Marc-André, Kaufhold;  Người hướng dẫn: -;  Đồng tác giả: - (2023)

    The negotiation of stakeholder values as a collaborative process throughout technology development has been studied extensively within the fields of Computer Supported Cooperative Work and Human-Computer Interaction. Despite their increasing significance for cybersecurity incident response, there is a gap in research on values of importance to the design of open-source intelligence (OSINT) technologies for this purpose. In this paper, we investigate which values and value conflicts emerge due to the application and development of machine learning (ML) based OSINT technologies to assist cyber security incident response operators.