Search for dissertations about: "multi classification"

Showing result 1 - 5 of 144 swedish dissertations containing the words multi classification.

  2. 1. Detection and Classification Multi-sensor Systems : Implementation of IoT and Systematic Design Approaches

    Author : Damian Dziak; Wlodek Kulesza; Darius Andriukaitis; Blekinge Tekniska Högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Assessment; Behavior Recognition; Classification; Design Methodology; Detection; Indoor Localization; Internet of Things; Multi-Sensor System; Skills Assessment; Outdoor Localization; Wireless Sensor Network; Applied Signal Processing; Tillämpad signalbehandling;

    Abstract : The detection and classification of features or properties, which characterize people, things or even events can be done in reliable way due to the development of new technologies such as Internet of Things (IoT), and also due to advances in Artificial Intelligence (AI) and machine learning algorithms. Interconnection of users with sensors and actuators have become everyday reality and IoT, an advanced notation of a Multi-sensor System, has become an integral part of systems for assessment of people’s habits and skills as well as the evaluation of quality of things or events' performances. READ MORE

  4. 2. Optimization Framework for Crushing Plants

    Author : Kanishk Bhadani; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Minerals Processing; Industry 4.0; Multi-Objective Optimization MOO ; Screening; Process Optimization; Process Improvement; Modelling; Comminution; Key Performance Indicators KPIs ; Classification; Multi-Disciplinary Optimization MDO ; Crushing; Dynamic Simulations;

    Abstract : Optimization is a decision-making process to utilize available resources efficiently. The use of optimization methods provide opportunities for continuous improvements, increasing competitiveness, trade-off analysis and as a support tool for the decision-making process in industrial applications. READ MORE

  5. 3. A data-driven decision support system for coherency of experts’ judgment in complex classification problems : The case of food security as a UN sustainable development goal

    Author : Rueben Laryea; Kenneth Carling; Lena Nerhagen; Högskolan Dalarna; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Coherence; Efficiency; Decision Support System; Multi-Criteria; Risk; Classification Model; Decision Makers; Judgment; Alternatives; Prediction; Data; Integrate; Imprecision; Food Security; UTADIS; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys;

    Abstract : Everyday humans need to make individual or collective decisions. Often the decisions aim at achieving multiple goals (thus involving multiple criteria) and rely on the decision maker(s)’ intuition, internal data, as well as external sources of data. READ MORE

  6. 4. Sensors and Algorithms in Industry 4.0 : Security and Health Preservation Applications

    Author : Dawid Gradolewski; Wlodek Kulesza; Sven Johansson; Alberto Rodriguez-Martinez; Blekinge Tekniska Högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Acoustic Sensor; Artificial Intelligence; Autonomisation; Classification; Detection; Feature Extraction; Health Preservation; Identification; Internet of Things; Machine Learning; Multi-Sensor System; Safety System; Vision System; Systemteknik; Systems Engineering;

    Abstract : Globalisation and technological digitisation have triggered an Industry 4.0. revolution.  The core of this revolution is autonomisation of complex processes, which require expert knowledge. READ MORE

  7. 5. Group-Sparse Regression : With Applications in Spectral Analysis and Audio Signal Processing

    Author : Ted Kronvall; Statistical Signal Processing Group; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; sparse regression; group-sparsity; statistical modeling; regularization; hyperparameter-selection; spectral analysis; audio signal processing; classification; localization; multi-pitch estimation; chroma; convex optimization; ADMM; cyclic coordinate descent; proximal gradient;

    Abstract : This doctorate thesis focuses on sparse regression, a statistical modeling tool for selecting valuable predictors in underdetermined linear models. By imposing different constraints on the structure of the variable vector in the regression problem, one obtains estimates which have sparse supports, i.e. READ MORE