Search for dissertations about: "spatial data retrieval"

Showing result 1 - 5 of 20 swedish dissertations containing the words spatial data retrieval.

  2. 1. Diversified Retrieval of Spatial Data with Context

    Author : Georgios Kalamatianos; Georgios J Fakas; Aristides Gionis; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Proportionality; Diversity; Keyword Search; Spatial Data; Ranking; Computer Science; Datavetenskap;

    Abstract : The abundance and ubiquity of spatial datasets necessitates their effective and efficient retrieval. For instance, on the web, there are datasets with GIS objects or POIs (e.g. Spatialhadoop datasets), datasets with geo-tagged photographs (e. READ MORE

  4. 2. Modern GIR Systems : Framework, Retrieval Model and Indexing Techniques

    Author : Xing Lin; Yifang Ban; Harrie Lars; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Information Retrieval; GIR; Framework; Indexing; Retrieval Model; Other information technology; Övrig informationsteknik;

    Abstract : Geographic information is one of the most important and the most common types of information in human society. It is estimated that more than 70% of all information in the world has some kind of geographic features. READ MORE

  5. 3. Parallel Data Streaming Analytics in the Context of Internet of Things

    Author : Hannaneh Najdataei; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; clustering; stream continuous data processing; edge computing; Internet of Things; parallelism; elasticity; data analysis; fog computing; scalability;

    Abstract : We are living in an increasingly connected world, where the ubiquitously sensing technologies enable inter-connection of physical objects, as part of Internet of Things (IoT), and provide continuous massive amount of data. As this growth soars, benefits and challenges come together, which requires development of right tools in order to extract valuable information from data. READ MORE

  6. 4. Data driven crop disease modeling

    Author : Priyamvada Shankar; Marcus Liwicki; Foteini Liwicki; Lili Jiang; Luleå tekniska universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; Crop Disease Prediction; Precision Agriculture; Digital Farming; Artificial Intelligence; Machine learning; Maskininlärning; Machine Learning;

    Abstract : The concept of precision farming deals with the creation and use of data from machinery and sensors on and off the field to optimize resources and sustainably intensify food production to keep up with increasing demand. However, in the face of a growing amount of data being collected, smarter data processing and analysis techniques are needed and have prompted the evaluation and incorporation of artificial intelligence (AI) and machine learning (ML) techniques for multiple use cases right from seeding to harvesting. READ MORE

  7. 5. Representation Learning and Information Fusion : Applications in Biomedical Image Processing

    Author : Elisabeth Wetzer; Nataša Sladoje; Fred Hamprecht; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Representation Learning; Texture Descriptors; Equivariant Neural Networks; Contrastive Learning; Image Classification; Image Registration; Image Retrieval; Digital Pathology; Computerized Image Processing; Datoriserad bildbehandling;

    Abstract : In recent years Machine Learning and in particular Deep Learning have excelled in object recognition and classification tasks in computer vision. As these methods extract features from the data itself by learning features that are relevant for a particular task, a key aspect of this remarkable success is the amount of data on which these methods train. READ MORE