Essays about: "decision fusion"
Showing result 1 - 5 of 31 essays containing the words decision fusion.
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1. Hierarchical Fusion Approaches for Enhancing Multimodal Emotion Recognition in Dialogue-Based Systems : A Systematic Study of Multimodal Emotion Recognition Fusion Strategy
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Multimodal Emotion Recognition (MER) has gained increasing attention due to its exceptional performance. In this thesis, we evaluate feature-level fusion, decision-level fusion, and two proposed hierarchical fusion methods for MER systems using a dialogue-based dataset. READ MORE
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2. ATLAS-BASED SEGMENTATION OF ULTRAHIGH-RESOLUTION STRUCTURAL MR HEAD IMAGES ACQUIRED AT 7 TESLA
University essay fromAbstract : Purpose: The purpose of this work was to find out how the existing brain atlases and segmentation algorithms perform when applied to ultrahigh-resolution MR brain images, acquired with a 7-Tesla scanner. Also to make adaptations to deal with the potential challenges and evaluate the quality of the anatomical segmentations of the 7- Tesla images. READ MORE
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3. Komplikationer vid artrodes på smådjur och ex vivo test av ett innovativt benlim för artrodeser
University essay from SLU/Dept. of Clinical SciencesAbstract : En artrodes är ett operativt ingrepp som avser att genom immobilisering av en led öka den totala rörelsefunktionen i en extremitet. Efter en artrodes åstadkoms en benfusion i leden. READ MORE
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4. Information Fusion of Data-Driven Engine Fault Classification from Multiple Algorithms
University essay from Linköpings universitet/FordonssystemAbstract : As the automotive industry constantly makes technological progress, higher demands are placed on safety, environmentally friendly and durability. Modern vehicles are headed towards increasingly complex system, in terms of both hardware and software making it important to detect faults in any of the components. READ MORE
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5. Using Supervised Learning and Data Fusion to Detect Network Attacks
University essay from Mälardalens högskola/Akademin för innovation, design och teknikAbstract : Network attacks remain a constant threat to organizations around the globe. Intrusion detection systems provide a vital piece of the protection needed in order to fend off these attacks. Machine learning has become a popular method for developing new anomaly-based intrusion detection systems, and in recent years, deep learning has followed suit. READ MORE