In this study, we focus on the application of anomaly detection for three-phase induction motors using current data, a crucial aspect of predictive maintenance technologies transforming industrial operations.Induction motors play a pivotal role in converting electrical energy to mechanical energy across various industries.Detecting anomalies in the

In order to balance the performance General Aviation index and computational efficiency of the active suspension control system, this paper offers a fast distributed model predictive control (DMPC) method based on multi-agents for the active suspension system.Firstly, a seven-degrees-of-freedom model of the vehicle is created.This study establishes

Arthroscopic anterior cruciate ligament (ACL) reconstruction is a common procedure performed for symptomatic ACL tears, especially in athletes.The desired surgical end product with any surgical fixation device remains a taut ACL graft, which is crucial during postoperative rehabilitation to reduce the risk of knee instability and rerupture of the A

BACKGROUND:Aedes aegypti is the primary vector of the four serotypes of dengue virus (DENV1-4), Chikungunya and yellow fever virus to humans.Previous population genetic studies have revealed a particular genetic structure among the vector populations in the Americas that suggests differences in the ability to transmit DENV.In Colombia, despite its

For years, the methodology has been worked from a focus on teaching styles and pedagogy situations approach, which was a breakthrough, but the needs of individualization were drifting towards new methodological perspectives and teaching, being toys cooperative games, the willing environments, or communication processes (López, 2012), who were show