SATELLITE NAVIGATION SIGNAL INTERFERENCE DETECTION AND MACHINE LEARNING-BASED CLASSIFICATION TECHNIQUES TOWARDS PRODUCT IMPLEMENTATION

Satellite Navigation Signal Interference Detection and Machine Learning-Based Classification Techniques towards Product Implementation

Many critical applications highly depend on Global Navigation Satellite Systems (GNSS) for precise and continuously available positioning IMMUNOL and timing information.To warn a GNSS user that the signals are compromised, real-time interference detection is required.Additionally, real-time classification of the interference signal allows the user

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Effect of blindfolding the lead resuscitator on frequency of closed-loop communication during veterinary cardio-pulmonary resuscitation training: a randomized, controlled pilot study

ObjectiveTo evaluate the effect of blindfolding the lead resuscitator during veterinary cardiopulmonary resuscitation (CPR) simulation training sessions on frequency of completed closed-loop communication statements (CLC).DesignTen groups of staff volunteers were recruited for a prospective, randomized, blinded, observational pilot study over a 6-m

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Variability of tissue mechanical response in Sus Domesticus porcine models from in vivo to ex vivo conditions.

BackgroundHealthcare simulators have been demonstrated to be a valuable resource for training several technical and nontechnical skills.A gap in the fidelity of tissues has been acknowledged as a barrier to application for current simulators; especially for interventional procedures.Inaccurate or unrealistic mechanical response of a simulated tissu

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