Furthermore, we investigated the expressiveness of ISO by estimating 100 randomly generated time-series in parallel (Appendix C.B) and extent the robot learning task with 6 skills in parallel on 20 different robots (Appendix C.C). The importance of initial states is not limited to the ...
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Recurrent Neural Network Based Approach for Estimating the Dynamic Evolution of Grinding Process Variables. Ph.D. Thesis, Universidad del País Vasco-Euskal Herriko Unibertsitatea, Leioa, Spain, 2016. [Google Scholar] Umucu, Y.; Deniz, V.; Bozkurt, V.; Çağlar, M.F. The evaluation of ...
A radial basis function neural network (RBFNN) was used to decrease the effect of unknown external disturbances for inaccurate model information and tackle the problem of chattering, which is faced by the conventional sliding mode controller (SMC), by estimating the equivalent control. Further, a ...
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A significant challenge remains in estimating medium and heavy truck service labor time. Imagine the complexities… Technology Mastering Enterprise Mobility: Strategies for Success December 28, 2023 admin In today’s fast-paced, digitally-driven world, mastering enterprise mobility is no longer optiona...
Since its first appli- cation to estimating tiger (Panthera tigris) abundance and density in India (Karanth 1995; Karanth and Nichols 1998), photographic capture–recapture has emerged as a powerful method for quantifying population characteris- tics of elusive carnivores (Treves et al. 2010; ...
unsupervised learning-based deconvolution microscopy can successfully transport the distributions of blurred microscopy images to high-resolution microscopy images by estimating the blurring PSF and deconvolving with it24. Accordingly, it is less prone to generating artificial features compared to GAN26as ...