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 7 of 7 for “"network fusion"”.
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Neural Network Fusion of Multi-Modal Sensor Data For Autonomous Surface Vessels
… model, a camera-only model, and a deep fusion model. The LiDAR model demonstrates the feasibility of using LiDAR image projections as a valuable data representation. The camera model demonstrates the feasibility of cross-modality learning with a camera input and LiDAR ground truth. …
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Resveratrol slows cell growth by targeting the Warburg effect and stimulating mitochondria metabolism
… coincidental with an increase in mitochondrial network fusion, biogenesis and cellular respiration. This indicates that a metabolic reprogramming towards oxidative phosphorylation might be essential for RES antiproliferative effects. Indeed, when RES-induced metabolic reprogramming was prevented …
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Integrative and Multi-scale Deep Learning for 3D Point Cloud Transmission Corridor Scene Segmentation: Noise Filtering, Attention-Fused Feature Integration, and Panoptic Network
… proposes the Noise Seeking Attention Network (NSANet), a novel solution integrating psychological theories of feature integration and attention engagement. NSANet achieves a 4.10% increase in F1-Score and a 7.30% improvement in recall by employing multiscale context, global physical …
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Machine learning methods for detecting structure in metabolic flow networks
Metabolic flow networks are large scale, mechanistic biological models with good predictive power. However, even when they provide good predictions, interpreting the meaning of their structure can be very difficult, especially for large networks which model entire organisms. This is an …
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Improving gesture recognition through spatial focus of attention
… when the channels are fused using a sparse network. We propose an architecture (FOANet) that divides processing among four modalities (RGB, depth, RGB flow, and depth flow), and three spatial focus of attention regions (global, left hand, and right hand). The resulting 12 channels are fused …
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Novel Techniques for Single-cell RNA Sequencing Data Imputation and Clustering
… a combination of dimensionality reduction and network fusion algorithms to generate a cell similarity graph. This approach accounts for both local and global structure within the data, enabling the discovery of rare and previously unidentified cell populations.We plan to assess the imputation …
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Integrative Analysis of Omics Data In Adult Glioma and Other Tcga Cancers to Guide Precision Medicine
… <p>3) Comprehensive characterization of somatic fusion transcripts in Pan-Cancers. I have identified a panel of novel fusion transcripts across all of TCGA cancer types through transcriptomic profiling. Then I have predicted fusion proteins with kinase activity and hub function of pathway network …