This article shows a neuronal network for deep learning focused on recognizing and classification five types of cardiac signals (Sinus, Ventricular Tachycardia, Ventricular Fibrillation, Atrial Flutter, and Atrial Fibrillation).The final objective is to obtain an architecture that can be implemented in an embedded system as a pre-diagnostic Addams
Multilevel Inverters (MLIs) are widely sought after in medium-voltage applications like electric ships, electric aircraft, and renewable energy integration due to excellent advantages like lower device stress, better power quality, and modularity.However, non-sinusoidal excitations from MLIs pose a serious problem to motor-insulation and lead to th
The rapid development of artificial intelligence (AI) technologies is significantly changing approaches to research in the modern Patch educational environment.Thanks to the capabilities of modern technologies, researchers have access to tools that help automate routine processes, facilitate data analysis and interpretation, and increase the accura
Electrochemical exfoliation of graphene is an environmentally friendly method, which enables mass production.Herein, three ionic liquids (ILs) with the same imidazole cation were used to exfoliate graphite into Addams Family functionalized graphene, as a lubricant additive in an acetonitrile solution.Chemical and structural characterization reveale
Background: The progression of mobile phone technology has led to the development of multi-functional smartphones providing access to features Patch such as social media, e-mail, and videos alongside the basic functions of a mobile phone.Increasing amounts of research has explored the potential addictive nature of smartphones to develop a theoretic