Zobrazeno 1 - 10
of 20
pro vyhledávání: '"faltning"'
Autor:
Axén, Magnus
A new branch of machine and deep learning models has evolved in constrained optimization, specifically in mixed integer programming problems (MIP). These models draw inspiration from earlier solver methods, primarily the heuristic, branch and bound.
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-339539
A Comparative Study of Machine Learning Algorithms for Angular Position Estimation in Assembly Tools
Autor:
Fagerlund, Henrik
The threaded fastener is by far the most common method for securing components together and plays a significant role in determining the quality of a product. Atlas Copco offers industrial tools for tightening these fasteners, which are today sufferin
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-327974
Autor:
Drotz, Jacob
Matched frequency responses are a fundamental starting point for a variety ofimplementations for microphone arrays. In this report, two methods for frequencyresponse-calibration of a pre-assembled microphone array are presented andevaluated. This is
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-328181
Autor:
Fagerlund, Henrik
The threaded fastener is by far the most common method for securing components together and plays a significant role in determining the quality of a product. Atlas Copco offers industrial tools for tightening these fasteners, which are today sufferin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______260::e80c56f439c8c8a962357e888f26d6c4
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-327974
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-327974
Autor:
Drotz, Jacob
Matched frequency responses are a fundamental starting point for a variety ofimplementations for microphone arrays. In this report, two methods for frequencyresponse-calibration of a pre-assembled microphone array are presented andevaluated. This is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______260::1b1a0ce94fb8ed105a392da0b0e57fbd
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-328181
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-328181
Autor:
Du, Yuwei
High-efficiency point cloud 3D object detection is important for autonomous driving. 3D object detection based on point cloud data is naturally more complex and difficult than the 2D task based on images. Researchers keep working on improving 3D obje
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-320371
Autor:
Zhang, Yue
Convolutional neural networks (CNNs) have been utilized in various applications, such as image classification, computer vision, etc. With development, the complexity and computation of CNNs also increase, which requires more memory and resources when
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-324439
Autor:
Wickman, Axel
This thesis explores and compares traditional and reinforcement learning (RL) methods of performing 2D flight path planning in 3D space. A wide overview of natural, classic, and learning approaches to planning s done in conjunction with a review of s
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-178314
Autor:
Wickman, Axel
This thesis explores and compares traditional and reinforcement learning (RL) methods of performing 2D flight path planning in 3D space. A wide overview of natural, classic, and learning approaches to planning s done in conjunction with a review of s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::bf0059f7a9d01c17333c4e8bd56d3777
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-178314
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-178314
Autor:
Al-Dory, Mohammed
When we humans look at images, especially paintings, we are usually interested in the sense of art and what we regard as “beauty”. This may include colour harmony, fantasy, realism, expression, drama, ordered chaos, contemplative aspects, etc.Ala
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::dbe2450f26cbf9ef25884a92cca74215
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-169147
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-169147