To alleviate the impact of insufficient labels in less-labeled classification problems, self-supervised learning improves the performance of graph neural networks (GNNs) by focusing on the information of unlabeled nodes.However, none of the existing self-supervised pretext tasks perform optimally on different datasets, and the choice of hyperparame
Blur CLIP Context Model-Based Image Coding for Machines Framework With Down and Up Sample Pairs for Multitasks
Image Coding for Machines (ICM) aims to develop systems and frameworks for image compression and transmission tailored for computer vision tasks such as object detection and instance segmentation.This paper focuses on multi-task ICM not only for object detection and instance segmentation Floor Scrubber Parts but also for image compression.In recent
Antimicrobial Activity of Zingiber Officinale and Allium Sativum on some Drug Resistant Bacterial Isolates
Ginger and garlic are very important and useful spices and are used as therapeutic agent against many pathological infections.Increasing multi-drug resistance of pathogens forces researchers to find alternative compounds for treatment of infectious diseases.In this study, the antimicrobial potency of ginger and garlic were investigated against four
Modelling desiccation cracking in a homogenous soil clay layer: comparison between different hypotheses on constitutive behaviour
Desiccation cracks are usually thought to start from the surface of an evaporating soil layer, and the available simplified models Kids Leggings for crack initiation and propagation are based on this hypothesis.On the contrary, experimental results on a Dutch river clay showed that cracks in an evaporating soil layer may start and propagate below t