In this paper, Sippy Cups we propose a new approach for learning node embeddings for weighted undirected networks.We perform a random walk on the network to extract the latent structural information and perform node embedding learning under a similarity-based framework.Unlike previous works, we apply a different criterion to capture the proximity i
IntroductionMechanical damage significantly reduces the market value of fruits, making the early detection of such damage a critical aspect of agricultural management.This study focuses on the early detection of mechanical damage in blueberries (variety: Sapphire) through a non-destructive method.MethodsThe proposed method integrates hyperspectral
Lungkak fi shing community is a type of catcher and hunter fi sh.They use this strategy to get morefi sh.This type is a conventional type of fi shing communities in general.Lungkak Fishermen use a varietyof technology systems to capture and hunt fi sh.As for using various kinds and types of boats and fi shinggear.With this type of fi shing is catch
Deep learning has broad applications in various fields.However,users still need to face problems from two aspects when applying deep learning.First,deep learning has a complex theoretical background,non-professional users lack background knowledge in modeling and tuning.It is difficult for them to build performance-optimized models.Second,modules s
The biodiversity of coral reef habitats is rapidly declining due to the effects of anthropogenic climate change, prompting the use of active restoration as a mitigation strategy.Sexual propagation can maintain or enhance genetic diversity in restoration of these ecosystems, but these approaches suffer from a range of inefficiencies in rearing and h