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Titlebook: Man-Machine Interactions 6; 6th International Co Aleksandra Gruca,Tadeusz Czachórski,Agnieszka Piot Conference proceedings 2020 Springer Na

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Deep Recurrent Neural Networks for Human Activity Recognition During Skiingm the past, second is a bidirectional neural network, which can memorize information from both the past and the future. Both models were tested for different window sizes and the number of hidden layers and the number of units on the layer. These models can be used in the alpine skiing and biathlon training support system.
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GrFCM – Granular Clustering of Granular Dataep in granular computing is well researched. Our objective is the next step: we would like to focus on computing with granules. In the paper we propose a new clustering algorithm that works with granules instead of numbers. The algorithm takes a collection of granules as an input and clusters them into output granules.
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