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  1. Machine Learning‐Enabled Smart Sensor Systems - Ha - 2020 - Advanced

    First well-known ML algorithms implemented in smart sensor systems for practical sensing applications are discussed.

  2. Artificial Intelligence and Deep Learning in Sensors and …

    The integration of spatial and temporal data analyses in a unified deep learning model exemplifies how AI can harness sensor data to facilitate smarter, more efficient city infrastructure.

  3. Recent advancements in wearable sensors: integration with machine

    Notably, machine learning algorithms are widely reported for conducting more sophisticated and comprehensive analyses of raw data collected from flexible sensors. 12 These algorithms can …

  4. This review provides a comprehensive overview of the latest advancements in wearable sensor technologies, focusing on innovations in sensor design, material exibility, and fl integration with …

  5. Roadmap for the Use of Machine Learning and Artificial …

    Aug 23, 2024 · While possibilities are vast in the use of ML and AI for sensors, several broad classes of use emerge, namely, regression, classification, clustering, and optimization. …

  6. AI-Driven Sensing Technology: Review - MDPI

    May 7, 2024 · Machine learning and deep learning’s contributions to sensing technology are segmented into four principal areas: sensor design, calibration and compensation, object …

  7. Advancing Healthcare Monitoring: Integrating Machine Learning

    Aug 1, 2024 · This article introduces an advanced vital sign monitoring system that seamlessly integrates sensor technology, wireless communication, and machine learning (ML)

  8. Integration with AI and Machine Learning - Monolithic Power …

    Functioning as the sensory input for AI, sensors supply vital data, empowering sophisticated algorithms to acquire knowledge, adjust, and make well-informed decisions. This integration …

  9. Sensor Fusion and Multi-Sensor Data Integration for Enhanced …

    Jun 18, 2024 · The integration of advanced technologies such as machine learning, big data analysis, and more sophisticated sensor fusion algorithms is paving the way for significant …

  10. Integration of artificial intelligence (AI) with sensor networks ...

    Jan 1, 2024 · We explores various methodologies employed in AI, including supervised and unsupervised learning, as well as reinforcement learning, within the context of existing …

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