Sökning: "supervised machine learning"

Visar resultat 36 - 40 av 87 avhandlingar innehållade orden supervised machine learning.

1. 36. Applied Machine Learning in District Heating System

   Författare :Samuel O. Idowu; Christer Åhlund; Saguna Saguna; Olov Schelén; Fredrik Sandin; Luleå tekniska universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Pervasive Mobile Computing; Distribuerade datorsystem;

   Sammanfattning : In an increasingly applied domain of pervasive computing, sensing devices are being deployed progressively for data acquisition from various systems through the use of technologies such as wireless sensor networks. Data obtained from such systems are used analytically to advance or improve system performance or efficiency. LÄS MER

3. 37. Machine Learning Concepts for Service Data Interoperability

   Författare :Jacob Nilsson; Fredrik Sandin; Jerker Delsing; Marcus Liwicki; Tapio Heikkilä; Luleå tekniska universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; system of systems; system of cyber-physical systems; subsymbolic representations; semantic interoperability; dynamic interoperability; Cyber-Physical Systems; Cyberfysiska system;

   Sammanfattning : Industrial automation is transforming by ongoing digitalization efforts to create a flexible industrial internet of things, turning manufacturing facilities into large-scale systems of cyber-physical systems. This development requires addressing the challenging issue of making heterogeneous systems, data models, and standards interoperable, a core problem in designing sustainable service-oriented automation frameworks. LÄS MER

4. 38. Machine Learning In Design Engineering and Manufacturing

   Författare :Javier Villena Toro; Mehdi Tarkian; Roland Stolt; Linköpings universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

   Sammanfattning : Artificial intelligence (AI) has made significant strides in various fields, challenging conventional notions of computer capabilities. However, while data science research primarily concentrates on refining AI models, there are numerous challenges associated with integrating AI into industrial applications. LÄS MER

5. 39. Homology and machine learning for materials informatics

   Författare :Bart Olsthoorn; Jens H. Bardarson; Alexander V. Balatsky; O. Anatole von Lilienfeld; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Theoretical Physics; Teoretisk fysik;

   Sammanfattning : Materials informatics is the field of study where materials science is combined with modern data science. This data-driven approach is powered by the growing availability of computational power and storage capability. LÄS MER

7. 40. Applications of Unsupervised Deep Learning for Analysing Time-Varying Power Quality Big Data

   Författare :Roger Alves de Oliveira; Math Bollen; Sarah Rönnberg; Matti Lehtonen; Luleå tekniska universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; power quality; power system harmonics; electric power distribution; interharmonics; big data analytics; pattern analysis; unsupervised learning; deep learning; artificial intelligence; geomagnetically induced currents; Electric Power Engineering; Elkraftteknik;

   Sammanfattning : Continuous power quality monitoring allows grid stakeholders to obtain information about the performance of the network and costumer facilities. Moreover, the analysis of continuous monitoring allows researchers to obtain knowledge on power quality phenomena. Power quality measurements result in a large amount of data. LÄS MER