Federated learning is a newly emerged distributed machine learning paradigm, where the clients are allowed to individually train local deep neural network (DNN) models with local data and then jointly aggregate a global DNN model at the central server.Vehicular edge computing (VEC) aims at exploiting the computation and communication resources at t
Seventy Trichoderma spp.isolates collected from different regions of Morocco were tested for their capacity to inhibit in vitro mycelial growth of Sclerotium rolfsii, and for their effect on the Zipper Pouch viability of S.rolfsii sclerotia in the soil.The Trichoderma spp.isolates inhibited mycelial growth of S.rolfsii to various degrees, with 52%
Abstract Disasters caused by mine water inflows significantly threaten the safety of coal mining operations.Deep mining complicates the acquisition of hydrogeological parameters, the mechanics of water inrush, and the prediction of sudden changes in mine water inflow.Traditional models and singular machine learning approaches often fail to accurate
With the rapid development of point cloud processing technologies and the availability of a wide range of 3D capturing devices, a geometric object from the real world can be directly represented digitally as a dense and fine point cloud.Decomposing a 3D shape represented in point cloud into meaningful parts has very important practical implications
With the increase in the rate of tree removal and construction of buildings within the Forestry Research Institute of Nigeria premises, there has been concomitant rise in habitat modification.These changes in habitat composition affect the insect population.This study therefore investigated the insect species diversity and abundance within some sel