Blar i Publikasjoner fra CRIStin på emneord "Machine learning"
Viser treff 21-27 av 27
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The Role of Machine Learning in Managing Uncertainty in Projects – A View on Early Warning Systems
(Proceedings of the European Conference on Management, Leadership and Governance (ECMLG);, Chapter; Peer reviewed; Conference object, 2022)Machine learning techniques deals with, among other things, pattern recognition in large amounts of data to identify trends and possible events in the future regarding a given topic of interest. Machine learning methods ... -
Selecting the model and influencing variables for DHW heat use prediction in hotels in Norway
(Peer reviewed; Journal article, 2020)Domestic hot water heat use prediction modelling is an important instrument for increasing energy efficiency in many buildings. This article addressed hourly domestic hot water heat use prediction, using a Norwegian hotel ... -
The Study of Facial Muscle Movements for Non-Invasive Thermal Discomfort Detection via Bio-Sensing Technology. Part I: Development of the Experimental Design and Description of the Collected Data
(Peer reviewed; Journal article, 2020)In the time of climate change, as heat waves become a more regular occurrence, indoor thermal comfort is an important factor in day to day life. Due to such circumstances, many researchers have focused their studies on ... -
The evolution of precipitate crystal structures in an Al-Mg-Si(-Cu) alloy studied by a combined HAADF-STEM and SPED approach
(Journal article; Peer reviewed, 2018)This work presents a detailed investigation into the effect of a low Cu addition (0.01 at.%) on precipitation in an Al-0.80Mg-0.85Si alloy during ageing. The precipitate crystal structures were assessed by scanning ... -
Towards high-throughput microstructure simulation in compositionally complex alloys via machine learning
(Peer reviewed; Journal article, 2021)The coupling of computational thermodynamics and kinetics has been the central research theme in Integrated Computational Material Engineering (ICME). Two major bottlenecks in implementing this coupling and performing ... -
A tree based classifier for transient stability prediction following island splitting
(Chapter, 2022)An unexpected failure or outage of one or multiple system components can cause a new operational situation that requires remedial actions. An important remedial action to model correctly is islanding. Finding the transient ... -
Video Analytics in Elite Soccer: A Distributed Computing Perspective
(Peer reviewed; Journal article, 2022)Ubiquitous sensors and Internet of Things (IoT)technologies have revolutionized the sports industry, providing new methodologies for planning, effective coordination of training, and match analysis post-game. New methods, ...