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Classification and clustering of low back pain patients by analyzing surface myoelectric signals
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Vedran Srhoj-Egekher Low back pain (LBP) is a global health problem phenomenon. Most patients are categorized as non-specific, thus requiring an individualized approach which still poses a major challenge. Myoelectric recordings from two pairs of lumbar muscle sites were collected during an isometric trunk extension exercise. Ninety-one subjects were included in the study; 29 patients with non-specific chronic LBP (CLBP), 25 patients with radiculopathy (RLBP), and 37 control healthy subjects (HS). Six...
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Classification of cognitive load and emotional stress based on functional brain imaging techniques
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Ivan Kesedžić Cognitive load and emotional stress affect people’s daily lives, so the adequate assessment of cognitive load and emotional stress is of special importance. Inadequate amounts of cognitive load and emotional stress negatively affect human performance and, in the long run, the health of the individual. Assessing cognitive load and emotional stress is especially important in highly stressful professions such as the military, pilots, and air traffic controllers.
Although cognitive load...
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Clustering Maintenance Algorithms in Ad-Hoc Networks
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Haris Hadžić This master thesis investigates clustering and cluster maintenance algorithms needed to solve problems connected to a lack of MANET (Mobile Ad Hoc Network) infrastructure and the continuously changing topology of a MANET. A goal was to develop, investigate and compare new as well as existing clustering algorithms. Four new algorithms, Cluster head centric maintenance, DSDV-based maintenance, Connectivity-based maintenance and Two-hop based maintenance, have been proposed, implemented and...
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Cognitive radio networks optimization with spectrum sensing algorithms
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Tanuja Satish Dhope Static allocation of spectrum scheme around the world, which is allocated to specific technology based services, such as mobile, fixed, broadcast, fixed satellite and mobile satellite services is commonly used on exclusive basis. These wireless communication systems are representatives of 2G and 3G systems with all evolution phases towards 4G systems. The complexity of wireless networks requires a careful design, especially related to bandwidth and energy efficiency. Bandwidth efficiency is...
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Collision avoidance in virtual robotized plants
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Tomislav Reichenbach Virtual 3D models, normally used for testing and designing systems, can also be used in the systems operational phase as a convenient way to generate on-line collision free trajectories. The virtual environment is used to simulate possible events in the system operation. The real-time collision detection algorithm is used to determine the exact collision point on virtual model surfaces that are used as the contact sensors among the objects. The collision avoidance strategy is proposed by...
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Complete coverage of large seabed areas using sonar data-based path planning for an autonomous marine vehicle
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Nadir Kapetanović Efficient mapping of an unknown large-scale marine area using a side-scan sonar onboard an autonomous marine vehicle is often of great importance. It might also be important to scan parts of an area in more detail and from more than one side. In contrast to the standard offline static coverage problem solution for side-scan sonar missions based on the overlapping all across-track sonar swaths in a lawnmower pattern, several online sonar-data driven coverage path planning algorithms are...
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Component recommendation for development of composite consumer applications
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Ivan Budiselić Consumer computing is a research area that focuses on methodologies and tools that enable consumers to create their own applications. Consumers create applications by composing existing applications through intuitive actions on their graphical user interfaces. Support for component discovery has been identified as a key challenge in various forms of composite application development, and is especially important in consumer computing. This dissertation introduces a general method for...
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Computation of disparity in stereo images using three-dimensional recursive search
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Miroslav Rožić Disparity computation is a crucial step in the process of stereo 3D reconstruction, which has been a heavily investigated topic and one of the important problems in the field of computer vision. Many methods and approaches have been devised to provide a dense disparity map for a stereo image pair, with approaches roughly divided into local methods, which determine the correct disparity by choosing the value with an optimum matching cost in a local region, or global methods, which attempt to...
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Computational analysis of fundus photographs for early detection of diabetic retinopathy
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Pavle Prentašić Diabetic retinopathy is one of the leading disabling chronic diseases, and one of the leading causes of preventable blindness in the world. In order to achieve early diagnosis of diabetic retinopathy a major effort will have to be invested into automatic screening systems using color fundus photographs. This thesis investigates advanced image processing and analysis methods, which are needed for automatic screening system development. The first contribution of this thesis work is a database...
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Computational histology image analysis of human cerebral cortex cytoarchitectonics
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Andrija Štajduhar The structure of the cerebral cortex is defined by organization and distribution of neurons in the tissue. Today, most investigations in brain cytoarchitectonics are not automatized and require significant involvement of the researcher, which is very time consuming and may introduce significant bias. This type of analysis may not be accurate enough or reveal enough information about the structure of the tissue. Brain tissue forms complex structures whose organization and distribution may be...
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Computer vision-based detection of roadside vegetation using features from the visible spectrum
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Iva Harbaš This thesis contains a comprehensive analysis and discussion of issues and solutions encountered while developing a method for detecting roadside vegetation. The goal was to develop a method which would complement vehicles used for roadside maintenance. This would provide an opportunity to automate such tasks which are currently manually operated by maintenance workers. Vegetation detection is a common theme in the area of remote sensing where vegetation is detected from satellite images and...
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Congestion management in short term scheduling of power generation
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Ivan Andročec Today, power generation is influenced by the electricity market and increased competition. Electricity buyers are free to choose their supplier. Instead of least cost method, which was used for planning and operational system management, power suppliers and generators are presently maximizing their profit. Today, the equilibrium is achieved in market settlement of generators' or suppliers offers and customer demand for electricity. Different methods and simulations exists that help in the...
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