ABSTRACTIn this research, a dynamic optimization of milk-run system (MRS) managed with an IT-based Kanban (ITK) is performed.The main tasks are to i) explore how artificial intelligence may allow MRS to choose the most efficient path and ii) here measure the impact on the main production parameters.The study explores the Kanban signals activating a
Few-shot learning popularfilm.blog aims to recognize novel categories from just a few labeled instances.Existing metric learning-based approaches perform classifications by nearest neighbor search in the embedding space.The embedding function is a deep neural network and usually shared by all novel categories.However, these brute approaches lack a
The mythological origin of a place does not literally tell us where we are or who we are, they can be clues to understand the significant stories of history of a place it may be in the form of words and phrases used by the first inhabitants and speaking of the things that they saw, experienced and heard in the world around them.The study was conduc