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Showing result 1 - 5 of 217 swedish dissertations matching the above criteria.
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1. Attribute-based Approaches for Secure Data Sharing in the Industry
Abstract : In the Industry 4.0 era, secure and efficient data sharing is vital for innovation and operational enhancement. Industry 4.0 envisions a highly connected ecosystem where machines, devices, and stakeholders collaborate in real time to optimize processes, enhance productivity, and create new value propositions. READ MORE
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2. English Colour Terms in Context
Abstract : This thesis examines usage of English colour terms in context, based on an extensive computerised text corpus, the Bank of English. It describes the ways in which English colour terms may be used to refer to nuances outside their normal area of designation and to attributes outside the colour domain. READ MORE
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3. Human Face Identification and Face Attribute Prediction : From Gabor Filtering to Deep Learning
Abstract : After decades of research, it is exciting to see that face recognition technology has entered a most flourishing era. Driven by the latest development in data science and especially technical evolutions in computer vision and pattern recognition, face recognition has achieved significant progress over the last three years. READ MORE
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4. Attribute-based Approaches for Secure Data Sharing in Industry
Abstract : The Industry 4.0 revolution relies heavily on data to generate value, innovation, new services, and optimize current processes [1]. Technologies such as Internet of Things (IoT), machine learning, digital twins, and much more depend directly on data to bring value and innovation to both discrete manufacturing and process industries. READ MORE
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5. Binding Three Kinds of Vision
Abstract : Pictorial cues, together with motion and stereoscopic depth fields, can be used for perception and constitute ‘three kinds’ of vision. Edges in images are important features and can be created in either of these attributes. READ MORE