Thus far, few studies have been conducted on fine-grained classification tasks for the latest convolutional neural network ConvNeXt, and no effective optimization method has been Washcloths made available.To achieve more accurate fine-grained classification, this paper proposes two attention embedding methods based on ConvNeXt network and designs a
PT X is a national private company engaged in agribusiness in the form of rubber processing with a noise level of 100.1 dB.PT.X found that there were 11 hearing impaired workers.Workers who are in a work environment with noise at> 85 dB do not use APT (Earplug) and are at risk for experiencing occupational diseases, namely deafness.The purpose o
Globally, the heat sector has a major share in energy consumption and carbon emission footprint.To provide reliable mitigation options for space heating, domestic hot water, industrial process heat and biomass for cooking for the energy transition time frame up to the year 2050, energy system modeling relies on a comprehensive and detailed heat dem
Although most models conceptualize a metacommunity as a collection of habitat patches embedded in a matrix that is not hospitable to life, new applications of metacommunity theory to host-microbiome systems Bulbs have shown this assumption to be flawed.Frequently the matrix is at least somewhat hospitable to the species that normally reside in the