Search for dissertations about: "Paper Machine Modeling"

Showing result 6 - 10 of 43 swedish dissertations containing the words Paper Machine Modeling.

  2. 6. Confidence Predictions in Pharmaceutical Sciences

    Author : Staffan Arvidsson McShane; Ola Spjuth; Wesley Schaal; Lars Carlsson; Ernst Ahlberg; Stefan Kramer; Uppsala universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; machine learning; QSAR; Conformal prediction; Venn-ABERS; Probabilistic machine learning; Machine learning; Maskininlärning; Farmaceutisk vetenskap; Pharmaceutical Science;

    Abstract : The main focus of this thesis has been on Quantitative Structure Activity Relationship (QSAR) modeling using methods producing valid measures of uncertainty. The goal of QSAR is to prospectively predict the outcome from assays, such as ADMET (Absorption, Distribution, Metabolism, Excretion), toxicity and on- and off-target interactions, for novel compounds. READ MORE

  4. 7. Languages and Tools for Optimization of Large-Scale Systems

    Author : Johan Åkesson; Institutionen för reglerteknik; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Paper Machine Modeling; Plate Reactor; Languages for Physical Modeling; Compiler Construction; Dynamic Optimization; Modelica; Optimica; Manual Control; Automation; robotics; control engineering; Automatiska system; robotteknik; reglerteknik;

    Abstract : Modeling and simulation are established techniques for solving design problems in a wide range of engineering disciplines today. Dedicated computer languages, such as Modelica, and efficient software tools are available. In this thesis, an extension of Modelica, Optimica, targeted at dynamic optimization of Modelica models is proposed. READ MORE

  5. 8. Elucidation of complex diseases by machine learning

    Author : Karolina Smolinska Garbulowska; Jan Komorowski; Claes Wadelius; Tuuli Lappalainen; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; machine learning; complex disease; multi-omics; regulatory element; gene regulation; transcription factor motif; networks; rough sets; Bioinformatics; Bioinformatik;

    Abstract : Uncovering the interpretability of models for complex health-related problems is a crucial task that is often neglected in machine learning (ML). The amount of available data makes the problem even more complicated. READ MORE

  6. 9. Machine Learning Approaches to Develop Weather Normalize Models for Urban Air Quality

    Author : Chau Ngoc Phuong; Mengjie Han; Rasa Zalakeviciute; Ilias Thomas; Mario Salvador González Rodríguez; Högskolan Dalarna; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Weather Normalized Models WNMs ; Air Pollution; Data-Driven Modeling and Optimization; Deep Learning - Artificial Neural Network DL-ANN ; Machine Learning;

    Abstract : According to the World Health Organization, almost all human population (99%) lives in 117 countries with over 6000 cities, where air pollutant concentration exceeds recommended thresholds. The most common, so-called criteria, air pollutants that affect human lives, are particulate matter (PM) and gas-phase (SO2, CO, NO2, O3 and others). READ MORE

  7. 10. On Effectively Creating Ensembles of Classifiers : Studies on Creation Strategies, Diversity and Predicting with Confidence

    Author : Tuwe Löfström; Henrik Boström; Ulf Johansson; Harris Papadopoulos; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Machine Learning; Predictive Modeling; Ensembles; Conformal Prediction; Computer and Systems Sciences; data- och systemvetenskap;

    Abstract : An ensemble is a composite model, combining the predictions from several other models. Ensembles are known to be more accurate than single models. Diversity has been identified as an important factor in explaining the success of ensembles. READ MORE