Abstract In Brazil, the demand for the acquisition and installation of photovoltaic systems has grown exponentially and, with that, the importance of studies considering their effects on the distribution grids power flow also grows.Due to the intermittent nature of photovoltaic generation, it is important to approach the analysis in a discrete way,
Deep learning (DL) is an effective approach to identifying plant diseases.Among several DL-based techniques, transfer learning (TL) produces significant results in terms of improved accuracy.However, the usefulness of TL has not yet been explored using weights optimized from agricultural datasets.Furthermore, the detection of plant diseases in diff
Snow depth monitoring is crucial for hydrology, climate research, and avalanche prediction.While traditional global navigation satellite system (GNSS) reflectometer methods offer cost-effective snow thickness retrieval, they suffer from poor accuracy and robustness, especially in complex terrains and extreme weather.This study proposes an innovativ
We use agent-based computer simulation to test the effect of environmental conditions (available biomass/carrying capacity and environmental risk) on the development Nattokinase of wealth inequality and patron-client herding networks in nomadic pastoral economies.Our results show that 1) wealth inequality reaches very high levels when carrying capa