Search for dissertations about: "Håkan Grahn"
Showing result 1 - 5 of 12 swedish dissertations containing the words Håkan Grahn.
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1. Evaluation of design alternatives for a directory-based cache coherence protocol in shared-memory multiprocessors
Abstract : In shared-memory multiprocessors, caches are attached to the processors in order to reduce the memory access latency. To keep the memory consistent, a cache coherence protocol is needed. READ MORE
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2. Data Mining Approaches for Outlier Detection Analysis
Abstract : Outlier detection is studied and applied in many domains. Outliers arise due to different reasons such as fraudulent activities, structural defects, health problems, and mechanical issues. The detection of outliers is a challenging task that can reveal system faults, fraud, and save people's lives. READ MORE
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3. Data Modeling for Outlier Detection
Abstract : This thesis explores the data modeling for outlier detection techniques in three different application domains: maritime surveillance, district heating, and online media and sequence datasets. The proposed models are evaluated and validated under different experimental scenarios, taking into account specific characteristics and setups of the different domains. READ MORE
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4. Automatic Characterization and Mitigation of Shared-resource Contention in Multi-core Systems
Abstract : Multi-core computers are infamous for being hard to use in time-critical systems due to execution-time variations as an effect of shared resource contention. In this thesis, we study the problem of shared resource contention, which occurs when multiple applications executing on different cores do not have exclusive access to of a shared hardware resource. READ MORE
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5. Energy Efficiency in Machine Learning : Approaches to Sustainable Data Stream Mining
Abstract : Energy efficiency in machine learning explores how to build machine learning algorithms and models with low computational and power requirements. Although energy consumption is starting to gain interest in the field of machine learning, still the majority of solutions focus on obtaining the highest predictive accuracy, without a clear focus on sustainability. READ MORE