Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 4 of 4 for “"Deep Fusion"”.
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Neural Network Fusion of Multi-Modal Sensor Data For Autonomous Surface Vessels
… is used to demonstrate the feasibility of deep learning for semantic segmentation in a marine environment. This is done with three separate models: a LiDAR-only model, a camera-only model, and a deep fusion model. The LiDAR model demonstrates the feasibility of using LiDAR image projections …
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Diagnosis of Cognitive Impairment using Multiple Data Modalities
… (PET). This thesis utilises machine learning and deep learning techniques to leverage both of these data modalities in a single end-to-end pipeline that is robust to missing information. A number of techniques have been designed, implemented and validated to diagnose different types of cognitive …
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Advancing Soil Moisture Mapping with Multi-Modal Drone Sensing and AI: Integrating GPR, Hyperspectral, and Thermal Imaging for Precision Agriculture
… information, especially in vegetated areas or at deeper soil layers. This research addresses these challenges by developing advanced soil moisture estimation approaches that combine drone-mounted sensors with machine learning and deep learning techniques. The goal of this work was to integrate …
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A Multi-head Attention Approach with Complementary Multimodal Fusion for Vehicle Detection
… intricate and refined process of feature tensor fusion, creating a more robust and comprehensive sensory data interpretation framework. A major innovation introduced in this updated model is the implementation of a multi-head attention layer. This layer serves as a sophisticated replacement for …