Essays about: "arkitekturen"
Showing result 1 - 5 of 249 essays containing the word arkitekturen.
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1. Oaserna : ett gestaltningsförslag för Östra kyrkogårdens minneslund och dess närmaste omgivning i Malmö
University essay from SLU/Dept. of Urban and Rural DevelopmentAbstract : Under de senaste decennierna har trycket på de urbana grönområdena ökat till följd av att städerna växer. Under coronapandemin utnyttjades de gröna offentliga platserna i städerna i större utsträckning än tidigare och när SVT gjorde ett reportage om pulkaåkande barn på Skogskyrkogården i Stockholm var samhällsdebatten i gång. READ MORE
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2. Few-Shot Learning for Quality Inspection
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : The goal of this project is to find a suitable Few-Shot Learning (FSL) model that can be used in a fault detection system for use in an industrial setting. A dataset of Printed Circuit Board (PCB) images has been created to train different FSL models. READ MORE
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3. A lightweight deep learning architecture for text embedding : Comparison between the usage of Transformers and Mixers for textual embedding
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Text embedding is a widely used method for comparing pieces of text together by mapping them to a compact vector space. One such application is deduplication which consists in finding textual records that refer to the same underlying idea in order to merge them or delete one of them. READ MORE
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4. Domain Knowledge and Representation Learning for Centroid Initialization in Text Clustering with k-Means : An exploratory study
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Text clustering is a problem where texts are partitioned into homogeneous clusters, such as partitioning them based on their sentiment value. Two techniques to address the problem are representation learning, in particular language representation models, and clustering algorithms. READ MORE
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5. Regression with Bayesian Confidence Propagating Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Bayesian Confidence Propagating Neural Networks (BCPNNs) are biologically inspired artificial neural networks. These networks have been modeled to account for brain-like aspects such as modular architecture, divisive normalization, sparse connectivity, and Hebbian learning. READ MORE