Essays about: "architecture evaluation"
Showing result 1 - 5 of 514 essays containing the words architecture evaluation.
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1. Method and Tooling for Automated Conformance Checking between Architecture - design and Implementation
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Many software and/or automotive companies use UML models to write the requirements and later they are implemented by coding. Involving multiple engineers from different teams makes the whole process complex and cumbersome. READ MORE
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2. Blockchains and Smart Contracts for Cryptocurrency : An Analysis of Their Functionality and Performance
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Smart contracts are self-executing electronic contracts. Amongst its deployed applications in the digital world is providing a decentralized and transparent method for executing transactions of cryptocurrencies on blockchains. READ MORE
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3. Defining an Evaluation Model for Container Orchestration Operator Frameworks
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : The growing complexity of cloud native applications has necessitated the intro- duction of operators to the container orchestration tools’ suite of components. Operators affords developers the ability to encode domain knowledge and make fine-grained controllers for their Kubernetes clusters, radically extending the range of feasible applications to host. READ MORE
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4. Understanding the Robustnessof Self Supervised Representations
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : This work investigates the robustness of learned representations of self-supervised learn-ing approaches, focusing on distribution shifts in computer vision. Joint embedding architecture and method-based self-supervised learning approaches have shown advancesin learning representations in a label-free manner and efficient knowledge transfer towardreducing human annotation needs. READ MORE
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5. 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