Titlebook: Control and Information Sciences; Select Proceedings o V. I. George,K. V. Santhosh,Samavedham Lakshminara Conference proceedings 2024 The E

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https://doi.org/10.1007/978-3-658-19057-6lters at both the input and output sides; the capacitors in the N-stages are equally charged, so they can be DC-source input to the multilevel inverters; modularity can help to reduce time to market during manufacturing just by adding more stages without disturbing main circuit. The converter circui

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https://doi.org/10.1007/978-3-658-19426-0forward the data to a server for recovery at the user end. Ultimately, the analysis result recommends that the presented IoT-based tracking mechanism can support practical air quality tracking and forecasting in various pollutant concentrated atmospheres while guaranteeing minimal power consummation

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Vom erfolgreichen Scheitern einer Bewegunghicle. This study performs a vehicle emission impact on a gated campus using a deep learning approach. Real-time surveillance footage is processed with a deep learning model to detect vehicle and its license plate. Furthermore, air quality sensors deployed at strategical locations provide real-time

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https://doi.org/10.1007/978-3-658-19618-9onal hazards model that provides the survival curve function and provides a probabilistic value for whether the patient will survive more than a given threshold time. Other conventional methods have also been discussed in order to analyze and prove that Cox regression is the most suitable method for

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Von Sprachdefiziten und anderen Mythenuned onto it to achieve fast and accurate real time detection. The model is trained using two different datasets; one small and one big to see the effects of the size of the dataset on the accuracy of detec-tion. The first stage detects all the faces in the frame after which the mask detection model