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 8 of 8 for “"FCN"”.
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Investigation of Molecular FCN for Beyond-CMOS: Technology, design, and modeling for nanocomputing
L'abstract è presente nell'allegato / the abstract is in the attachment
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Modeling and Simulation Strategies for Advancing Molecular FCN: Pioneering Design Rules Toward Implementation from Molecules to Devices
L'abstract è presente nell'allegato / the abstract is in the attachment
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Water Surfaces Detection from Sentinel-1 SAR Images using Deep Learning
… propose the Fully Convolutional Neural Network (FCN) Encoder method, a deep learning model based on the convolutional implementation of sliding windows. The FCN Encoder is designed to detect water from SAR images by considering both the pixel intensity and the spatial information of the pixel …
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Harmonization of residential & commercial mixed-use developments : investigation of regulatory issues by case studies
… Seattle, Washington) and False Creek North (FCN; Vancouver, Canada), were chosen for this case study research. I examined and visualized the local regulations that pertain to mixed-use development of each neighborhood using Illustrator and SketchUp. I also analyzed and discussed U.S. Census …
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A deep learning approach to focal cortical dysplasia segmentation in children with medically intractable epilepsy
… (CNN), and Fully Convolutional Networks (FCN) are that they are built to extract detailed features in images with minimal user involvement. Therefore, we set to develop a model, which takes an MRI, classifies whether it is FCD or not and outputs the lesion’s location in FCD cases. Also, …
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Energy disaggregation techniques for visualization and improvement of energy efficiency in processes and buildings
… Fully-Convolutional denoising Auto-Encoder (FCN-dAE) model is proposed for NILM in large buildings, which outperforms the state-of-art NILM approaches on data from the hospital, and shows better computational efficiency than the previous models in terms of number trainable weights and …
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Autonomous vision-based inspection of RC railway bridges for rapid post-earthquake response and recovery
… are realized by fully convolutional network (FCN)-based semantic segmentation and depth prediction algorithms. The investigation begins with the bridge component recognition using a single real-world image. Based on the lessons learned from the initial work, the recognition and localization …
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Evaluación del impacto de la segmentación de aleta caudal sobre la foto-identificación de ballenas jorobadas
… por una fase de segmentación basado en las redes FCN y PSPNet y una fase de identificación basado en Pérdida de tripletes; se puso a prueba este algoritmo de identificación usando las imágenes sin segmentar y segmentadas. Los resultados indican que la segmentación favorece a la identificación de …