LANDSLIDE SUSCEPTIBILITY MAPPING BASED ON PARTICLE SWARM OPTIMIZATION OF MULTIPLE KERNEL RELEVANCE VECTOR MACHINES: CASE OF A LOW HILL AREA IN SICHUAN PROVINCE, CHINA

In this paper, we propose a multiple kernel relevance vector machine (RVM) method based on the adaptive cloud particle swarm optimization (PSO) algorithm to map landslide susceptibility in the low hill area of Sichuan Province, China.In the multi-kernel structure, the kernel selection problem can be solved by adjusting the kernel weight, which dete

Starting from the affirmation of religious-cultural pluralism as consolidated ethos and normative basis of the contemporary societies, I will reflect on the challenges posed by it to religious-cultural institutions and to the type of essentialist and naturalized Panama Hat foundation that they foment individually and socially.My main argument consi

Although convolutional neural networks (CNNs) have made significant progress, their deployment onboard is still challenging because of their complexity and high processing cost.Tensors provide a natural Gift Card and compact representation of CNN weights via suitable low-rank approximations.A novel decomposed module called DecomResnet based on Tuck

A pandemia causada pelo coronavírus, durante o ano de 2020, explicitou um problema nas redes: a disseminação de notícias falsas, as chamadas fake news, informações incorretas e argumentos falaciosos que tentaram minar a opinião pública.Tais argumentos constituem-se muitas vezes como informações pseudocientíficas, ou seja, que apesar de n

Abstract Background MicroRNAs (miRNAs) are endogenous small RNAs having large-scale regulatory effects on plant development and stress responses.Extensive studies of miRNAs have only been performed in a few model plants.Although miRNAs are proved to be involved in plant cold stress responses, little is known for winter-habit monocots.Brachypodium d