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Machine learning (ML) can offer a faster and more efficient way to improve the material characterization process through optimized sensor shapes, improved sensitivity, and more efficient and accurate ...
The escalating concerns regarding urban air pollution and its detrimental effects on public health necessitate advanced real-time air quality monitoring solutions. This paper introduces a novel ...
Various fiber sensors are discussed based on their working principles and dimensions, and an overview of the machine learning algorithms that have been applied with these fiber sensors is presented.
Advanced robotic vision systems are redefining the capabilities of automation in performing precision tasks. By equipping ...
Soft sensors can be used to estimate these values when there are not enough personnel to take the measurements. Redundant sensor. In harsh environments, sensor fouling is normal. A soft sensor can ...
Advanced sensors combined with AIML algorithms will enable devices to track vital signs, detect anomalies, and provide proactive health insights. IoT Wearables are playing a crucial role in preventive ...
Using wearable sensors and advanced machine learning algorithms, researchers offer a practical and cost-effective solution for capturing detailed movement data, essential for balance analysis.
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