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and relative humidity (RH) measurements with the simultaneous detection of CO₂, NO₂, and volatile organic compounds (NH₃). The proposed system will combine multiple selective sensors for targeted
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, including cellular and Wi-Fi networks, in order to meet the requirements of emerging critical applications. In this context, intelligent embedded devices (augmented cameras, connected sensors) generate
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, algorithms must respond in real time and use partial sensor data of varying quality. In addition, I made the decision to focus only on embedded systems, depriving robots of internet connectivity and the myriad
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learning algorithms. • Adapting the method to multiple faults • Using the method to detect corrupt data, or even threats of attacks and intrusions on networks • Carrying out a proof of concept by
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collaboration by proposing an original hybrid rule-driven/data driven approach to artificial intelligence and by studying efficient optimization algorithms. The team focus on robotic applications like environment
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] to perform their tasks efficiently. The control of multiple robots through a centralized software platform can bring a large-scale farm automation. However, agricultural environments often feature
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 3 months ago
distribution. The work also aims to improve inference efficiency by reducing dimensionality, reusing computations, and combining multiple measurements. The PhD candidate will develop, test and validate
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detection, to cite a few. As telecom fibers are ubiquitous in urban environments, DAS appears as a breakthrough concept to upgrade existing fiber optic networks to acoustic sensor arrays, and a key component