Essays about: "DeFi"
Showing result 1 - 5 of 22 essays containing the word DeFi.
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1. The Great DeFi Dilemma: How stakeholders can navigate the uncertain waters of decentralised finance adoption: An explorative study
University essay from Göteborgs universitet/Graduate SchoolAbstract : This study explores the key challenges in the adoption process of Decentralised Finance (DeFi) technology and its implications for stakeholders, including bankers, users, developers, and regulators; tying in to a broader perspective of economic evolution. The data consist of over 20 semi-structured interviews with individuals among the different stakeholder groups, primarily in Sweden and the USA. READ MORE
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2. Embodying the transformation: An exploration of the role of art-based approaches in achieving a just and sustainable city through citizen participation in Malmö
University essay from Lunds universitet/LUCSUSAbstract : The exposure of societies to climate change requires cities to adequately respond to increasing environmental pressures while ensuring the well-being of citizens. Here, sustainable urban planning is an important tool. READ MORE
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3. Rethinking Execution Layer Front-Running Protection with Threshold Encryption : F3B: A Per-Transaction Front-Running Protection Architecture with Low-Latency Overhead
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Blockchain is a decentralized and immutable append-only ledger. Smart contracts, the self-executing programs on blockchain, help build the Decentralized Finance (DeFi) markets. Front-running is the practice of benefiting from advanced knowledge of pending transactions. READ MORE
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4. Cryptocurrency Acceptance Level : Adoption and Effect
University essay from Linnéuniversitetet/Institutionen för nationalekonomi och statistik (NS)Abstract : This study discusses the acceptance level of cryptocurrency in countries of the world. Study takes a deep dive on what does affect the acceptance level of cryptocurrency and what should be expected if same changes would to happen in countries income level, technological level, financial level, and education level. READ MORE
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5. Hybrid Deep Learning Model for Cellular Network Traffic Prediction : Case Study using Telecom Time Series Data, Satellite Imagery, and Weather Data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Cellular network traffic prediction is a critical challenge for communication providers, which is important for use cases such as traffic steering and base station resources management. Traditional prediction methods mostly rely on historical time-series data to predict traffic load, which often fail to model the real world and capture surrounding environment conditions. READ MORE