Search for dissertations about: "outlier detection"

Showing result 11 - 15 of 18 swedish dissertations containing the words outlier detection.

  1. 11. Kinetics Quality Assessment for real-time PCR

    Author : Tzachi Bar; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; kinetics quality assessment; PCR quality assessment; outlier detection; real-time PCR;

    Abstract : For proper DNA quantification by real-time PCR, compared samples should have similar PCR efficiencies. This assumption might not be always correct, as suggested by hundreds of publications dealing with PCR inhibition. READ MORE

  2. 12. Ground Object Recognition using Laser Radar Data : Geometric Fitting, Performance Analysis, and Applications

    Author : Christna Grönwall; Fredrik Gustafsson; Kalle Åström; Linköpings universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Laser radar; object detection; object recognition; performance; least squares; ICP; Cramér-Rao; Signal processing; Signalbehandling;

    Abstract : This thesis concerns detection and recognition of ground object using data from laser radar systems. Typical ground objects are vehicles and land mines. For these objects, the orientation and articulation are unknown. The objects are placed in natural or urban areas where the background is unstructured and complex. READ MORE

  3. 13. Towards safe and efficient application of deep neural networks in resource-constrained real-time embedded systems

    Author : Siyu Luan; Zonghua Gu; Leonid B. Freidovich; Lei Feng; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Machine Learning Deep Learning; Real-Time Embedded systems; Out-of-Distribution Detection; Distribution Shifts; Deep Reinforcement Learning; Model Compression; Policy Distillation.;

    Abstract : We consider real-time safety-critical systems that feature closed-loop interactions between the embedded computing system and the physical environment with a sense-compute-actuate feedback loop. Deep Learning (DL) with Deep Neural Networks (DNNs) has achieved success in many application domains, but there are still significant challenges in its application in real-time safety-critical systems that require high levels of safety certification under significant hardware resource constraints. READ MORE

  4. 14. Data Mining and Analysis for Characterizing Paper from On-line Multisensor Measurements

    Author : Marcus Ejnarsson; Adas Gelzinis; Högskolan i Halmstad; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Feature Extraction; Kernel Based Novelty Detection; Kernel CCA; Monitoring; Newsprint; Paper Web; Time-Series Representation; TECHNOLOGY; TEKNIKVETENSKAP;

    Abstract : The objective of this thesis is to develop a multi-resolution tool for screening paper formation variations, aiming to detect abnormalities in various frequency regions ranging from millimeters to several meters. The abnormalities detected in different frequency regions give an indication for the paper maker about specific disturbances in the paper production process. READ MORE

  5. 15. Machine learning for building energy system analysis

    Author : Fan Zhang; Johan Håkansson; Chris Bales; Stefan Byttner; Högskolan Dalarna; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; district heating; machine learning; deep learning; HVAC; neural networks;

    Abstract : Buildings account for approximately 40% of the global energy, and Heating, Ventilation, and Air Conditioning (HVAC) contributes to a large proportion of building energy consumption. Two main negative characteristics that contribute to performance degradation and energy waste in an HVAC system are inappropriate control strategies and faults. READ MORE