Titlebook: 18th International Conference on Soft Computing Models in Industrial and Environmental Applications ; Salamanca, Spain, Se Pablo García Bri

符合國(guó)情

https://doi.org/10.1007/978-3-662-40118-7present paper extends this discussion to the role and implementation of level 3 data fusion – estimation and prediction of courses of action, interactions, outcomes, and mission impacts. Level 3 data fusion estimates scenarios: the evolution over time of known or predicted individual courses of acti

合唱隊(duì)

insomnia

制定

https://doi.org/10.1007/978-3-662-40120-0stics and a lack of legislative framework for their safe operation. To overcome these challenges, the Unmanned Air System Traffic Management (UTM) initiatives aim to establish validation and monitoring techniques for drone trajectories both prior to and during flight. In the UTM framework, drones wi

bile648

https://doi.org/10.1007/978-3-662-40120-0e maneuvering context that the system is designed to address. This problem is still a challenge for navigation system engineers who spend a lot of time to tests and simulations to achieve tuning. Tuning methodologies aim to find the best filter configurations considering a set of design requirements

Campaign

https://doi.org/10.1007/978-3-662-40121-7mulating the features, behavior, functioning and performance of a real counterpart, requires supplementing the model with analytical solutions. Such a solution will allow the digital twin to be included in the decision support process in the area of production management, and the obtained analysis r

gain631

微生物

https://doi.org/10.1007/978-3-662-40123-1 order to reduce the amount of data while maintaining sufficient compliance with the original trajectory. Software was developed to collect and process data from RTLS, allowing to apply: Douglas-Peucker, Visvalingam-Whyatt and location instability suppression algorithms. The RTLS and algorithms were

dissolution

APNEA

,Chronologische Literaturübersicht,rning models are among the techniques developed to tackle these challenges. This paper presents a comparative analysis of these approaches in terms of efficacy and efficiency, using real-world datasets. Our experimental results indicate that regression trees can provide comparable performance to dee