Search for dissertations about: "machine learning relation"

Showing result 1 - 5 of 25 swedish dissertations containing the words machine learning relation.

  1. 1. Applied Machine Learning in Steel Process Engineering : Using Supervised Machine Learning Models to Predict the Electrical Energy Consumption of Electric Arc Furnaces

    Author : Leo Carlsson; Pär Jönsson; Peter Samuelsson; Mikael Vejdemo-Johansson; Henrik Saxen; KTH; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Electric Arc Furnace; Electrical Energy Consumption; Statistical Modelling; Machine Learning; Interpretable Machine Learning; Predictive Modelling; Industry 4.0; Ljusbågsugn; Elenergiförbrukning; Statistisk Modellering; Maskininlärning; Tolkningsbar Maskininlärning; Prediktiv Modellering; Industri 4.0; Teknisk materialvetenskap; Materials Science and Engineering; Metallurgical process science; Metallurgisk processvetenskap;

    Abstract : The steel industry is in constant need of improving its production processes. This is partly due to increasing competition and partly due to environmental concerns. One commonly used method for improving these processes is through the act of modeling. READ MORE

  2. 2. Machine learning for identification of brain activity patterns with applications in gentle touch processing

    Author : Malin Björnsdotter Åberg; Göteborgs universitet; Göteborgs universitet; Gothenburg University; []
    Keywords : Somatosensory; Machine learning; Pattern recognition; fMRI; Support vector machines; Neuroscience; Brain; BOLD; Signal processing; Artificial intelligence; Touch; Human; Unmyelinated; Sensory; Affective;

    Abstract : Since the first mention of artificial intelligence in the 1950s, the field of machine learning has provided increasingly appealing tools for recognition of otherwise unintelligible pattern representations in complex data structures. Human brain activity, acquired using functional magnetic resonance imaging (fMRI), is a prime example of such complex data where the utility of pattern recognition has been demonstrated in a wide range of studies recently (Haynes et al. READ MORE

  3. 3. Machine Learning Models for Predictive Maintenance

    Author : Sergii Voronov; Erik Frisk; Mattias Krysander; Kai Goebel; Linköpings universitet; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; NATURVETENSKAP; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; ENGINEERING AND TECHNOLOGY; ENGINEERING AND TECHNOLOGY;

    Abstract : The amount of goods produced and transported around the world each year increases and heavy-duty trucks are an important link in the logistic chain. To guarantee reliable delivery a high degree of availability is required, i.e., avoid standing by the road unable to continue the transport mission. READ MORE

  4. 4. Creating market knowledge from big data: Artificial intelligence and human resources

    Author : Jeannette Paschen; Esmail Salehi-Sangari; Stefanie Paluch; KTH; []
    Keywords : SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Market knowledge; insights; big data; artificial intelligence; resource-based theory; resources; capabilities; machine learning; natural language processing; Marknadskunskap; insikter; big data; artificiell intelligens; resursbaserad teori; resurser; kapacitet; machine learning maskininlärning ; natural language processing naturlig språkbearbetning .; Industriell ekonomi och organisation; Industrial Economics and Management;

    Abstract : The abundance of social media use and the rise of the Internet-of-Things (IoT) has given rise to big data which offer great potential for enhanced market knowledge for marketers. In the literature, market knowledge has been associated with positive marketing performance. READ MORE

  5. 5. System Evaluation and Learning in Evolvable Production Systems : Preliminary considerations and research directions

    Author : Pedro Neves; Mauro Onori; Luis Ribeiro; KTH; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Machine Learning; Evolvable Production Systems; SRA - Production; SRA - Produktion;

    Abstract : Dynamicity and unpredictability related to markets is strongly hardening companies’ mission to follow them and satisfy customer needs mainly due to the lack of adequate engineering mechanisms. These effects are felt more intensively in markets where low volumes and high customisation are needed since this requires constant changes in systems that can range from simple setups to total line re-configuration and re-programing. READ MORE