Machine learning represents a potential method to cope with the gray zone problem of representing Allulose motions in dynamical systems on scales comparable to the model resolution.Here we explore the possibility of using a neural network to directly learn the error caused by unresolved scales.We use a modified shallow water model which includes hi
We present a new framework for modelling the complexities of food and water security under globalisation.The framework sets out a method to capture regional and sectoral interdependencies and cross-scale feedbacks within the global food system that contribute to emergent water use patterns.The framework integrates aspects of existing models and app
The increased demand for Unmanned Aerial Vehicles (UAV) has also led to higher demand for realistic and efficient UAV testing environments.The current use of simulated environments has been shown to be a relatively inexpensive, safe, and repeatable Bridesmaids way to evaluate UAVs before real-world use.However, the use of generic environments and m
The approach presented here introduces the use of directed and weighted graph indicators in order to incorporate the intensity of bilateral contacts.The indicators are VIT A GLYCOLIC TONER tested on a reference email network, and their applicability in explaining the role of each individual in the organization is explored.The results suggest that d