A TIGHTLY COUPLED RTK/INS ALGORITHM WITH AMBIGUITY RESOLUTION IN THE POSITION DOMAIN FOR GROUND VEHICLES IN HARSH URBAN ENVIRONMENTS

A Tightly Coupled RTK/INS Algorithm with Ambiguity Resolution in the Position Domain for Ground Vehicles in Harsh Urban Environments

Vehicles driving in urban canyons are always confronted with a degraded TISSUE BOX Global Navigation Satellite System (GNSS) signal environment.The surrounding obstacles may cause signal reflections or blockages, which lead to large multipath noises and intermittent GNSS reception.Under these circumstances, it is not feasible to use conventional re

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Application of Machine Learning for Automating Behavioral Tracking of Captive Bornean Orangutans (Pongo Pygmaeus)

This article applies object detection to CCTV video material Feminine Deodorant Products to investigate the potential of using machine learning to automate behavior tracking.This study includes video tapings of two captive Bornean orangutans and their behavior.From a 2 min training video containing the selected behaviors, 334 images were extracted

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A Computationally Efficient Method for the Diagnosis of Defects in Rolling Bearings Based on Linear Predictive Coding

Monitoring the condition of rolling bearings is a crucial task in many industries.An efficient tool for diagnosing bearing defects is necessary since they can lead to complete machine failure and significant economic losses.Traditional diagnosis solutions Feminine Deodorant Products often rely on a complex artificial feature extraction process that

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Cardiomyopathies and anaesthesia

Cardiomyopathy is considered as a heart muscle disease of multiple aetiologies, unlike other cardiac diseases related to a definitive pathophysiology.With more and more research and with the advent of genetic analysis pin pointing the disease causing mutations, causative factors have been defined and classifications and definitions IV and Instrumen

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