Search for dissertations about: "statistical performance"
Showing result 1 - 5 of 532 swedish dissertations containing the words statistical performance.
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1. Efficient Memory Modeling During Simulation and Native Execution
Abstract : Application performance on computer processors depends on a number of complex architectural and microarchitectural design decisions. Consequently, computer architects rely on performance modeling to improve future processors without building prototypes. READ MORE
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2. Statistical analysis of metagenomic data
Abstract : Metagenomics is the study of microbial communities on the genome level by direct sequencing of environmental and clinical samples. Recently developed DNA sequencing technologies have made metagenomics widely applicable and the field is growing rapidly. READ MORE
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3. Ground Object Recognition using Laser Radar Data : Geometric Fitting, Performance Analysis, and Applications
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
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4. Performance monitoring in communication networks
Abstract : Performance monitoring in communication networks, which isthe main topic of this thesis, is an essential part ofperformance and network management. The applications cover anumber of different areas such as daily operations andmaintenance, usage information for billing purposes, customerreports, traffic control, planning, and dimensioning. READ MORE
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5. SME Performance and Its Relationship to Innovation
Abstract : Current SME performance models suffer from a number of disadvantages. The models use intensively a business ratio approach, they look at SMEs as a homogenous group, they consider firms to be closed systems, they do not directly incorporate the impact of an enterprise’s innovation activities, and finally they are complex and rely on sophisticated statistical refining methods making them unpractical to use by SME managers. READ MORE