Transformer-based models have garnered attention because of their success in natural language processing, and chervo jacke herren in several other fields, such as image and automatic speech recognition.In addition to them being trained on unimodal information, many transformer-based models have been proposed for multimodal information.In multimodal
In the recent years, several short-term forecasting models of household electricity demand have been proposed in the literature.This is partly due to emerging smart-grid applications, which require these kinds of forecasts to manage systems such as smart homes, prosumer aggregations, etc., and partly thanks to the availability of data from smart me
Abstract Background Childhood obesity and physical inactivity are increasing dramatically worldwide.Children of low socioeconomic status and/or children of migrant background are especially at risk.In general, the overall effectiveness of school-based programs on health-related outcomes has been disappointing.A special gap exists for younger childr
Fog computing has emerged as a computing paradigm for resource-restricted Internet of things (IoT) devices to support time-sensitive and computationally intensive applications.Offloading can be utilized to transfer resource-intensive tasks from resource-limited end devices a&d ej-123 to a resource-rich fog or cloud layer to reduce end-to-end latenc
Ly49 receptors can be peptide selective in their recognition of MHC-I-peptide complexes, affording them a level of discrimination beyond detecting the presence or absence of specific MHC-I allele products.Despite this ability, little is understood regarding the properties that enable some peptides, when bound to MHC-I molecules, to support Ly49 rec