Many sequential processing tasks require complex nonlinear transition functions from one step to the next. However, recurrent neural networks with “deep” transition functions remain difficult to train, even when using Long Short-Term Memory (LSTM) networks. We introduce a novel theoretical analysis of recurrent networks based on Gersgorin’s circle theorem that illuminates several modeling and optimization issues and improves our understanding ...

Prognostics and Health Management (PHM) approaches typically involve several signal processing and feature engineering steps. The state of the art on feature engineering, comprising feature extraction and feature dimensionality reduction, often only provides specific solutions for specific problems, but rarely supports transferability or generalization: it often requires expert knowledge and extensive intervention. In this paper, we propose ...

This paper proposes a workflow for Assembly-Aware Design (AAD) of masonry shell structures and introduces an interactive tool in a CAD environment to assist the design process while simulating the step-by-step assembly of masonry blocks. Thus designers can explore the design space of masonry shell structures and be aware of structural performance before the assembly phase, at the early design stage. Masonry shell structures are an old ...

In this paper we present the results of a study covering 218 written comments submitted in the formal university SET questionnaire of two undergraduate physics lectures for engineering students. Concerning the SET-metrics, one of the lectures was rated as critical, while the other lecture had good results. The analysis is based on the praise and criticism framework elaborated by Hyland/Hyland (2001) for written feedback. Our findings, ...