2 publications

  • Published Subscription

    AI-Enabled IV Infusion Monitoring Device for Real-Time Nursing Care Optimization

    Abstract: Intravenous (IV) infusion therapy is an essential component of modern healthcare, widely used for administering fluids, medications, and nutrients in clinical settings. However, traditional infusion monitoring methods rely heavily on manual observation by nursing staff, which increases the risk of human error, delayed interventions, and excessive workload. The integration of Artificial Intelligence (AI) into IV infusion systems has introduced a transformative approach to real-time monitoring, predictive analytics, and automated alert …

    Published in International Journal of Nursing Critical Care · Vol. 12, Issue 1, 2026 · pp. 10–18 Read article

  • Published Subscription

    Predictive Models for Drinking Water Quality: Leveraging Machine Learning for Improved Safety and Efficiency

    Abstract: Quality of drinking water is one of the critical determinants of public health, leading to severe environmental and health-related issues when poor. The paper examines the integration of machine learning techniques that could improve accuracy and efficiency in assessing drinking water quality. The traditional techniques of monitoring drinking water are resource-intensive yet lack timely insight into contamination events. In this scenario, an evaluation of the performance of ML models such …

    Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 1, 2025 Read article

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