Titlebook: Mathematical Analysis in Interdisciplinary Research; Ioannis N. Parasidis,Efthimios Providas,Themistocl Book 2021 Springer Nature Switzerl

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K. R. Aida-zade,A. B. Rahimovcy on neuromorphic hardware. An effective way to obtain deep SNNs with competitive accuracy on large-scale datasets is ANN-SNN conversion. However, it requires a long time window to get an optimal mapping between the firing rates of SNNs and the activation of ANNs due to conversion error. Compared w

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Richard I. Avery,Douglas R. Anderson,Johnny Hendersonsensory fusion decisions using a computational model is important for both computer and neuroscience research. Spiking Neural Networks (SNNs) mimic the neural dynamics of the brain, which are expected to reveal the biological multimodal perception mechanism. However, existing works of multimodal SNN

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Oana-Liliana Chenderres described in a natural language. In the proposed system, computational intelligence methods allow for communication by speech and handwriting, meaning analyses of design engineer’s messages, analyses of constructions, encoding and assessments of constructions, CAD system controlling and visualiz

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Lucian Coroianu,Sorin G. Galo surveillance, and medical image processing. To address this demand, several real-time semantic segmentation models have been introduced. Relying on existing Deep Convolution Neural networks (DCNNs), these models extract contextual features from the input image and construct the output at the decod

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