Sökning: "robust optimering"

Visar resultat 6 - 10 av 22 avhandlingar innehållade orden robust optimering.

  1. 6. RF Energy Harvesting for Zero-Energy Devices and Reconfigurable Intelligent Surfaces

    Författare :Morteza Tavana; Emil Björnson; Jens Zander; George Alexandropoulos; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Electronic waste; energy harvesting; Internet of Things; optimization; phased array; reconfigurable intelligent surfaces; stochastic geometry; wireless power transfer; wireless sensor networks; zero-energy devices.; Elektronikskrot; energiutvinning; sakernas internet; optimering; fasstyrda antenner; omkonfigurerbara intelligenta ytor; stokastisk geometri; trådlös kraftöverföring; trådlösa sensornätverk; nollenergienheter.; Informations- och kommunikationsteknik; Information and Communication Technology;

    Sammanfattning : The growth of Internet of Things (IoT) networks has made battery replacement in IoT devices increasingly challenging. This issue is particularly pronounced in scenarios with a large number of IoT devices, in locations where IoT devices are difficult to access, or when frequent replacement is necessary. LÄS MER

  3. 7. Robust Algorithms for Multiple View Geometry: Outliers and Optimality

    Författare :Olof Enqvist; Matematik LTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : This thesis is concerned with the geometrical parts of computer vision, or more precisely, with the three-dimensional geometry. The overall aim is to extract geometric information from a set of images. Most methods for estimating the geometry of multiple views rely on the existence of robust solvers for a set of basic problems. LÄS MER

  4. 8. Multidimensional inverse problems in imaging and identification using low-complexity models, optimal mass transport, and machine learning

    Författare :Axel Ringh; Johan Karlsson; Rodolphe Sepulchre; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Inverse problems; convex optimization; variational regularization; trigonometric moment problems; optimal mass transport; computed tomography; machine learning; analytic interpolation; delay systems; Inversa problem; konvex optimering; variationell regularisering; trigonometriska momentproblem; optimal masstransport; datortomografi; maskininlärning; analytisk interpolation; system med tidsfördröjning; Mathematics; Matematik;

    Sammanfattning : This thesis, which mainly consists of six appended papers, primarily considers a number of inverse problems in imaging and system identification.In particular, the first two papers generalize results for the rational covariance extension problem from one to higher dimensions. LÄS MER

  5. 9. Towards Scalable Machine Learning with Privacy Protection

    Författare :Dominik Fay; Mikael Johansson; Tobias J. Oechtering; Jens Sjölund; Antti Honkela; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Machine Learning; Privacy; Differential Privacy; Dimensionality Reduction; Image Segmentation; Hyperparameter Selection; Adaptive Optimization; Privacy Amplification; Importance Sampling; Maskininlärning; Dataskydd; Differentiell Integritet; Dimensionsreducering; Bildsegmentering; Hyperparameterurval; Adaptiv Optimering; Integritetsförstärkning; Importance Sampling; Datalogi; Computer Science; Informations- och kommunikationsteknik; Information and Communication Technology;

    Sammanfattning : The increasing size and complexity of datasets have accelerated the development of machine learning models and exposed the need for more scalable solutions. This thesis explores challenges associated with large-scale machine learning under data privacy constraints. LÄS MER

  7. 10. Simultaneous Topology and Material Optimization of Composite Structures under Uncertainty

    Författare :Dženan Hozić; Carl-Johan Thore; François-Xavier Irisarri; Linköpings universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Structural Optimization; Composite Structures; Topology Optimization; Multi-material Optimization; Material Uncertainty; Robust Optimization; Composite Structure Optimization; Design Optimization; Composite Material;

    Sammanfattning : Composite materials are known to have superior stiffness and strength properties per unit weight compared to metallic materials. These properties and the ability to tailor the mechanical properties of composites is the main motivation for choosing composite materials for structural components. LÄS MER