The project aimed to implement Deep NN / RNN based solution in order to develop flexible methods that are able to adaptively fillin, backfill, and predict time-series using a large number of heterogeneous training datasets. - TimeSeriesLearning/TimeSerie
This is a structured research visit that we have set up for them to support their research and give them an experience of field research and hands-on learning. We’ll have lots to report about this particular experience by the end of the week. Posted in 21st Century Learning, Creativity, ...
Domestic horses are widely used for physically demanding activities but the effect of exercise on their learning abilities has not been explored. Horses are also frequently exposed to stressors that may affect their learning. Stress and exercise result i
we examined the associations of common genetic variants with verbal short-term memory and verbal learning in adults without dementia or stroke (N = 53,637). We identified novel loci in the intronic region ofCDH18, and at 13q21 and 3p21.1, as well as an expected signal...
2. The Role of Glial Cells in Memory For decades astrocytes have been considered fundamental for brain functions because of their metabolic support to neurons and for their ability to regulate the extracellular levels of ions, neurotransmitters, and metabolites, thus maintaining the best conditions ...
Additional material support was provided by Ormat, CMG, and Quantum Reservoir Impact LLC (QRI). This work was authored in part by the National Renewable Energy Laboratory, operated by the Alliance for Sustainable Energy, LLC, for the U.S. Department of Energy (DOE) under Contract No. DE-AC...
and Information Technology, University of Technology Sydney, Sydney, NSW 2007, Australia * Correspondence: zouxiuguo@njau.edu.cn; Tel.: +86-25-58606585 Abstract: As a non-destructive detection method, an electronic nose can be used to assess the freshness of meats by collecting and analyzing ...
Besides, neither the reward-punishment (r-p) learning process nor the convergence of results is fast and efficient enough. To address these obstacles, this research proposes a general reinforcement learning model. This model is independent of input and output types and based on general bioinspired ...
Confusion matrices and accuracy statistics of some combination cases for the support vector machine (SVM) classifier. VNIR: visible and near infrared; UA: user's accuracy; PA: producer's accuracy; OA: overall accuracy; GK31: kernel size of 31 × 31. August Image: VNIR Spectral Information ...