Search for dissertations about: "dissertation on neural network"

Showing result 1 - 5 of 29 swedish dissertations containing the words dissertation on neural network.

  1. 1. Neural networks in context: challenges and opportunities : a critical inquiry into prerequisites for user trust in decisions promoted by neural networks

    Author : Lars Holmberg; Paul Davidsson; Per Linde; Carl Magnus Olsson; Maria Riveiro; Malmö universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Explainable AI; Machine Learning; Neural Network; Concept; Generalisation; Out-of-Distribution; Förklaringsbar AI; Maskininlärning; Neurala Nätverk; Koncept; Generalisering; Utanför-distributionen;

    Abstract : Artificial intelligence and machine learning (ML) in particular increasingly impact human life by creating value from collected data. This assetisation affects all aspectsof human life, from choosing a significant other to recommending a product for us to consume. READ MORE

  2. 2. Real-time Locating Systems for indoor applications : the methodological customization approach

    Author : Bartosz Jachimczyk; Wlodek Kulesza; Alfonso Bahillo Martínez; Blekinge Tekniska Högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Accuracy and Precision; Angle of Arrival; Fingerprinting Method; Indoor Localization; Indoor Positioning System; Multi-Sensor System; Neural Network; Radio Frequency Identification - RFID; Real Time Locating System; Received Signal Strength; RFID Network Planning; Scene Analysis; Sensors Arrangement; System Customization; Uncertainty; Uncertainty Map; User Driven Design;

    Abstract : Emerging wireless technologies increase the potential and effectiveness of wireless Real-time Locating Systems (RTLSs), which precisely localize the position, and identify things and people in real time. Among many applications, RTLSs are widely used in the industrial sector for indoor logistics and safety applications. READ MORE

  3. 3. On Enhancement and Quality Assessment of Audio and Video in Communication Systems

    Author : Andreas Rossholm; Blekinge Tekniska Högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; QoE; video quality assessment; video quality metric; multi-linear regression; artificial neural network; support vector machine; quality predictor; machine learning; temporal scaling; spatial scaling; video compression; deblocking filter; noise cancelling; synchronization; audio delay; video delay; GSM interference signal; noise cancellation; notch filtering;

    Abstract : The use of audio and video communication has increased exponentially over the last decade and has gone from speech over GSM to HD resolution video conference between continents on mobile devices. As the use becomes more widespread the interest in delivering high quality media increases even on devices with limited resources. READ MORE

  4. 4. On Radio Wave Propagation Measurements and Modelling for Cellular Mobile Radio Networks

    Author : Erik Östlin; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Field strength measurements; path loss prediction; point-to-area; Recommendation ITU-R P.1546; artificial neural network; large- and small-scale fading characteristics;

    Abstract : To support the continuously increasing number of mobile telephone users around the world, mobile communication systems have become more advanced and sophisticated in their designs. As a result of the great success with the second generation mobile radio networks, deployment of the third and development of fourth generations, the demand for higher data rates to support available services, such as internet connection, video telephony and personal navigation systems, is ever growing. READ MORE

  5. 5. Pith location and annual ring detection for modelling of knots and fibre orientation in structural timber : A Deep-Learning-Based Approach

    Author : Tadios Habite; Anders Olsson; Osama Abdeljaber; Jan Oscarsson; Welf Löwe; Julie Cool; Linnéuniversitetet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Sawn timber; Pith location; Deep learning; Artificial neural networks; Convolutional neural network; Conditional generative adversarial network; Knot detection; Knot modelling; Knot reconstruction; Fibre orientation; Annual ring profile; Byggteknik; Civil engineering;

    Abstract : Detection of pith, annual rings and knots in relation to timber board cross-sections is relevant for many purposes, such as for modelling of sawn timber and for real-time assessment of strength, stiffness and shape stability of wood materials. However, the methods that are available and implemented in optical scanners today do not always meet customer accuracy and/or speed requirements. READ MORE