Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
part of the MARTINA project and will explore the application of co-design optimized machine learning and neuromorphic solutions for applications that are challenging to address using conventional
-
engineering structures made of concrete, steel, wood and other materials, separately or in combination, at normal conditions, in cold climate and in fire. Project description This PhD project focuses
-
includes signal processing with emphasis on development and optimization of algorithms for processing single and multi-dimensional signals that are closely related to applications and applied research
-
methods to improve steel recycling and minimize the reliance on primary iron, by optimization of steel processing. Steel scrap is not a uniform material but a very diverse group of materials with widely
-
-driven development and optimization of the loading and transport systems in underground mines, including adaptation of systems to different loading conditions as well as bucket scanning, bucket filling
-
into two main areas: (1) material development and characterization to ensure optimal sensing and mechanical performance, and (2) structural evaluation of SS-FRCMs under environmental stressors such as freeze