Predicting traffic flow is crucial for the functionality of intelligent transportation systems.It is of critical importance to relieve traffic pressure, reduce accident LEMON OLIVE OIL rates, and alleviate environmental pollution.It is an important part of the construction of modern intelligent road networks.With advancements in deep learning (DL),
One of the popular techniques to fabricate metal matrix composites is the compo-casting process.The un-uniform spreading of reinforced subdivisions (particles) inside the metallic matrix and the lack of desirable mechanical properties of the final produced composites due to the low bonding strength among the metal matrix and reinforcement particles
The global ecosystem relies on the metabolism of photosynthetic organisms, featuring the ability to harness light as Gun Lubricants an energy source.The most successful type of photosynthesis utilizes a virtually inexhaustible electron pool from water, but the driver of this oxidation, sunlight, varies on time and intensity scales of several orders
Nina Gran Egeland,1,2 Kristin Jonsdottir,1 Kristina Lystlund Lauridsen,3 Ivar Skaland,1 Cathrine F Hjorth,4 Einar G Gudlaugsson,1 Stephen Hamilton-Dutoit,3 Timothy L Lash,4,5 Deirdre Cronin-Fenton,4,* Emiel AM Janssen1,2,* 1Department of Pathology, Stavanger University Hospital, Stavanger, Norway; 2Department of Chemistry, Bioscience and Environmen
The rail-wheel interface is fundamental to explain the dynamic running behaviour of a railway vehicle.It must therefore be understood and among the parameters by which it is characterised, the one called "equivalent conicity" plays an essential role since it allows the satisfactory appreciation of the wheel-rail contact on tangent track and on Effe