Clustering is an unsupervised learning technique used in data mining for finding groups with increased object similarity within but not between them.However, the absence of a-priori knowledge on the optimal clustering criterion, and the strong bias of traditional algorithms towards clusters with a specific shape, size, or density, raise the need fo
This research was performed to assess the potential of cereal/legume intercropping to enhance forage yield and quality when compared with cereal sole crops under the constrains imposed by UE organic farming regulations.Sole crops (SC) and intercrops (IC) of two winter cereals, barley (Hordeum vulgare L.) and durum wheat (Triticum durum Desf.), 70s
Blast-related mild traumatic brain injury (bmTBI) often leads to long-term sequalae, but diagnostic approaches are lacking due to insufficient knowledge about the predominant pathophysiology.This study aimed to build a diagnostic model for future verification by applying machine-learning based support vector machine (SVM) modeling to diffusion tens