Abstract Embroidery images carry rich historical information and are an important form of embroidery art.In the field of combination query image retrieval, how to efficiently retrieve the embroidery image information required by users has become a current research challenge.In recent years, convolutional neural networks (CNNs) Course a pied - Homme
Traditional digital forensics techniques are becoming obsolete due to rapid technological change.Proactive digital forensic investigations (PDFI) solve the challenges of cloud computing forensics such as evidence identification, collection, preservation, and timelining from heterogeneous cumulative data.Cumulative data heterogeneity poses significa
Wind action is one of the environmental actions that has significant static and dynamic effects on long-span bridges.The lateral wind speed is the main factor affecting the lateral displacement of the main girder of the bridge.The main objective of the paper is to use the improved multi-rate fusion method to correct the monitoring data so that accu
Generalized additive models (GAMs) with bivariate smoothing functions have been applied to estimate spatial variation in risk for many types of cancers.Only a handful of studies have evaluated the performance of smoothing functions applied in GAMs with regard to different geographical areas of elevated risk and different risk levels.This study eval
The annual migration and spawning event of Pacific salmon (Oncorhynchus spp.) can lead to cross-boundary delivery of marine-derived nutrients from their carcasses into adjacent terrestrial ecosystems.The densities of some passerine species, including Pacific wrens (Troglodytes pacificus), have been shown to be positively correlated with salmon abun