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Akademický článek
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Autor:
Sørensen, Kristian Aalling
In this work, we firstly implement an unsupervised VAE with BLSTM and Multi-Headed Self-Attention mechanisms to find contextual information in Gatehouse Maritime AIS data. No labelled Gatehouse Maritime AIS anomalies exists, and the model is conseque
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a75d7e65df2fda91a3d506ba0f04993
Autor:
Sørensen, Kristian Aalling
The vertical rheological properties of the earth varies a lot. The lithosphere is rigid and divided into a number of tectonic plates. The underlying asthenosphere is quasi-liquid(in geological time) enabling the movement of the upper lithosphere. Whe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32dded197fe4e9049bd1314410323684
Autor:
Sørensen, Kristian Aalling
An Ensemble Convolution Neural Network(ECNN) is a machine learning technique that can automatically extract features from arrays and use these features for classificationproblems. In an ECNN, it is possible to combine many type of data sets with the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51e5d731940d0500d537bd6001c5a965
Autor:
Sørensen, Kristian Aalling
The aim of this project, is to reach a preliminary design of a small thrust chamber, that can be used in the further development of a small rocket. Based on the general rocket theory, it is sought to find a reasonable solution containing actual sugge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::298181c3ff1369d979618ffff74ad314
Autor:
Sørensen, Kristian Aalling
Machine learning algorithms are used progressively more in a wide range of different applications. A Convolutional Neural Network(CNN) is an especially effcient method for pattern recognition and feature extraction in large arrays. In this article, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a6f1ccc1fb8d1f50952603967ea70f5